Social Computing
•Download as PPT, PDF•
0 likes•198 views
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapidly making accurate decisions to improve outcomes over time. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, and a 3D virtual world to model and observe insurgency behavior and assess outcomes of decisions.
Report
Share
Report
Share
![Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Thomas
Keerthi Thomas is a PhD student at the Open University, supervised by Prof. Bashar Nuseibeh, Dr. Arosha Bandara, and Mr. Blaine Price. Her research focuses on eliciting and analyzing users' privacy requirements for mobile applications. Previous work has shown privacy requirements vary based on users' changing contexts. However, most existing approaches do not address challenges of understanding privacy needs for mobile apps. Thomas proposes a systematic approach using a user-centric model combining contextual and interaction data to capture how privacy requirements are "distilled" from empirical studies of mobile social networking app users.
Practical Approaches to Sharing Information
The document summarizes the results of Raytheon's efforts to improve their information management and search capabilities. It found that most information was unstructured and not tagged, leading to duplication and difficulty finding information. User surveys identified needs like filtering searches by attributes. Raytheon implemented taxonomies in key areas and saw improvements like increased search and category usage after launching an updated search tool.
Reality Mining
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
Research Proposal
This document describes a research study exploring the development of computational algorithmic thinking (CAT) skills in African American middle school girls over three years through a program called SCAT. The study aims to understand how the girls' CAT skills develop over time, challenges they may face, and how participating in SCAT impacts their views of computer science and their self-efficacy. Data will be collected through journals, surveys, videos and artifacts to analyze the development of the girls' CAT skills, problem-solving, confidence and ability to apply these skills socially. The goal is to provide insights on better supporting students of color in developing CAT skills and improving computer science education.
Qual, Mixed, Machine and Everything in Between
1) The document discusses qualitative research methods and computer-assisted qualitative data analysis software. It explores the researcher's background and experience with both qualitative and mixed methods approaches.
2) It describes both traditional and newer computer software for qualitative data analysis, noting both benefits like organization and efficiency, as well as concerns around over-reliance on software.
3) Collaboration, measurement, human and machine learning are discussed. Iterative processes of human coding and machine learning are emphasized to improve classification over time.
Semantics in the Enterprise: Roles & Capabilities
The document provides information about various roles that are important for an expert semantic technology team, including information scientists, information architects, cognitive scientists, developers, business analysts, leaders, project managers, security experts, and legal advisors, briefly outlining some of the key responsibilities for each role.
Empowering the Intelligent Enterprise
The document discusses how semantic technologies can empower the intelligent enterprise by providing meaningful context and connections across vast amounts of data. It highlights trends toward hybrid human-AI solutions that leverage both manual and automated techniques to generate rich metadata and entity relationships. Finally, it describes how semantic approaches can help organizations gain strategic insights, shorten decision cycles, and power mobility by making relevant information accessible anywhere.
Reality Mining (Nathan Eagle)
Reality mining aims to map an organization's cognitive infrastructure by capturing detailed data on human networks using sensors. It analyzes conversations, topics, locations and relationships between individuals to infer expertise, social networks and how communication may change. This could help with applications like knowledge management, team formation and understanding global influences in an organization. However, it also raises privacy concerns that would need to be addressed.
Recommended
Thomas
Keerthi Thomas is a PhD student at the Open University, supervised by Prof. Bashar Nuseibeh, Dr. Arosha Bandara, and Mr. Blaine Price. Her research focuses on eliciting and analyzing users' privacy requirements for mobile applications. Previous work has shown privacy requirements vary based on users' changing contexts. However, most existing approaches do not address challenges of understanding privacy needs for mobile apps. Thomas proposes a systematic approach using a user-centric model combining contextual and interaction data to capture how privacy requirements are "distilled" from empirical studies of mobile social networking app users.
Practical Approaches to Sharing Information
The document summarizes the results of Raytheon's efforts to improve their information management and search capabilities. It found that most information was unstructured and not tagged, leading to duplication and difficulty finding information. User surveys identified needs like filtering searches by attributes. Raytheon implemented taxonomies in key areas and saw improvements like increased search and category usage after launching an updated search tool.
Reality Mining
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
Research Proposal
This document describes a research study exploring the development of computational algorithmic thinking (CAT) skills in African American middle school girls over three years through a program called SCAT. The study aims to understand how the girls' CAT skills develop over time, challenges they may face, and how participating in SCAT impacts their views of computer science and their self-efficacy. Data will be collected through journals, surveys, videos and artifacts to analyze the development of the girls' CAT skills, problem-solving, confidence and ability to apply these skills socially. The goal is to provide insights on better supporting students of color in developing CAT skills and improving computer science education.
Qual, Mixed, Machine and Everything in Between
1) The document discusses qualitative research methods and computer-assisted qualitative data analysis software. It explores the researcher's background and experience with both qualitative and mixed methods approaches.
2) It describes both traditional and newer computer software for qualitative data analysis, noting both benefits like organization and efficiency, as well as concerns around over-reliance on software.
3) Collaboration, measurement, human and machine learning are discussed. Iterative processes of human coding and machine learning are emphasized to improve classification over time.
Semantics in the Enterprise: Roles & Capabilities
The document provides information about various roles that are important for an expert semantic technology team, including information scientists, information architects, cognitive scientists, developers, business analysts, leaders, project managers, security experts, and legal advisors, briefly outlining some of the key responsibilities for each role.
Empowering the Intelligent Enterprise
The document discusses how semantic technologies can empower the intelligent enterprise by providing meaningful context and connections across vast amounts of data. It highlights trends toward hybrid human-AI solutions that leverage both manual and automated techniques to generate rich metadata and entity relationships. Finally, it describes how semantic approaches can help organizations gain strategic insights, shorten decision cycles, and power mobility by making relevant information accessible anywhere.
Reality Mining (Nathan Eagle)
Reality mining aims to map an organization's cognitive infrastructure by capturing detailed data on human networks using sensors. It analyzes conversations, topics, locations and relationships between individuals to infer expertise, social networks and how communication may change. This could help with applications like knowledge management, team formation and understanding global influences in an organization. However, it also raises privacy concerns that would need to be addressed.
"Reproducibility from the Informatics Perspective"
Dr. Altman will provide expert comment on the need for informatics modeling as part of the National Academies workshop: Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results
This workshop focuses on the topic of addressing statistical challenges in assessing and fostering the reproducibility of scientific results by examining three issues from a statistical perspective: the extent of reproducibility, the causes of reproducibility failures, and potential remedies.
Multi-objective NSGA-II based community detection using dynamical evolution s...
Community detection is becoming a highly demanded topic in social networking-based applications. It involves finding the maximum intraconnected and minimum inter-connected sub-graphs in given social networks. Many approaches have been developed for community’s detection and less of them have focused on the dynamical aspect of the social network. The decision of the community has to consider the pattern of changes in the social network and to be smooth enough. This is to enable smooth operation for other community detection dependent application. Unlike dynamical community detection Algorithms, this article presents a non-dominated aware searching Algorithm designated as non-dominated sorting based community detection with dynamical awareness (NDS-CD-DA). The Algorithm uses a non-dominated sorting genetic algorithm NSGA-II with two objectives: modularity and normalized mutual information (NMI). Experimental results on synthetic networks and real-world social network datasets have been compared with classical genetic with a single objective and has been shown to provide superiority in terms of the domination as well as the convergence. NDS-CD-DA has accomplished a domination percentage of 100% over dynamic evolutionary community searching DECS for almost all iterations.
Managing Confidential Information – Trends and Approaches
Personal information is ubiquitous and it is becoming increasingly easy to link information to individuals. Laws, regulations and policies governing information privacy are complex, but most intervene through either access or anonymization at the time of data publication.
Trends in information collection and management -- cloud storage, "big" data, and debates about the right to limit access to published but personal information complicate data management, and make traditional approaches to managing confidential data decreasingly effective.
This session presented as part of the the Program on Information Science seminar series, examines trends information privacy. And the session will also discuss emerging approaches and research around managing confidential research information throughout its lifecycle.
Linking Data to Publications through Citation and Virtual Archives
This document discusses linking data to publications through citation and virtual archives. It argues that data citation and sharing infrastructure are necessary for scientific reproducibility and open data. It outlines elements of data management plans and requirements for data sharing infrastructure, including persistence, provenance, access control and incentives. The document advocates for data citations as first-class objects and emerging practices like assigning DOIs to datasets. It presents several use cases for the Dataverse network, a virtual archive designed for research data sharing through federated and organizational models.
Eliciting and Visualising Trust Expectations using Persona Trust Characterist...
Developers and users rely on trust to simplify complexity when building and using software. Unfortunately, the invisibility of trust and the richness of a system's context of use means that factors influencing trust are difficult to see, and assessing its implications before a system is built is complex and time-consuming. This paper presents an approach for eliciting and visualising differences between trust expectations using persona cases, goal models, and complementary tool support. We evaluate our approach by using it to identify misplaced trust expectations in a software infrastructure by its users and application developers.
Reproducibility from an infomatics perspective
Scientific reproducibility is most viewed through a methodological or statistical lens, and increasingly, through a computational lens. Over the last several years, I've taken part in collaborations to that approach reproducibility from the perspective of informatics: as a flow of information across a lifecycle that spans collection, analysis, publication, and reuse.
These slides sketch of this approach, and were presented at a recent workshop on reproducibility at the National Academy of Sciences, and at one our Program on Information Science brown bag talks. See: informatics.mit.edu
Deep Neural Networks for Machine Learning
This is the slideshow for a presentation I gave as part of my graduate coursework at the Institute for Innovation and Public Purpose at University College London (UCL IIPP). Drawing on the work of IIPP professors including Carlota Perez (techno-economic paradigms), Mariana Mazzucato (“The Entrepreneurial State”), and Tim O’Reilly, I evaluate the innovation trajectory of Deep Neural Networks as a method of machine learning. I trace the history of machine learning to its present-day and conclude that while Deep Neural Networks have not yet reached technological maturity, they are already starting to encounter barriers to exponential growth and innovation. These slides were designed to be read independently from the spoken portion. If you found this useful or interesting, please message me on LinkedIn! - Justin Beirold
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Amit Sheth's Keynote at Semantic Web Technologies for Science and Engineering Workshop (held in conjunction with ISWC2003), Sanibel Island, FL, October 20, 2003.
Model bias in AI
We now live in a world where we trust intelligent systems blindly, believing in their rationality and objectivity. However, in reality this is far from the truth.
In this talk given at the City.AI Singapore chapter, we explored the nature, implications and handling strategies for Model Bias in AI.
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCES
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk reviews emerging big data sources for social scientific analysis and explores the challenges these present. Many of these sources pose distinct challenges for acquisition, processing, analysis, inference, sharing, and preservation.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology. Dr. Altman is also a Non-Resident Senior Fellow at The Brookings Institution. Prior to arriving at MIT, Dr. Altman served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Dr. Altman conducts research in social science, information science and research methods -- focusing on the intersections of information, technology, privacy, and politics; and on the dissemination, preservation, reliability and governance of scientific knowledge.
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALS
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk discusses findings from an analysis of data sharing and citation policies in Open Access journals and describes a set of novel tools for open data publication in open access journal workflows. Bring your lunch and enjoy a discussion fit for scholars, Open Access fans, and students alike.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology.
Rainey resume 2 25-2021
Larry B. Rainey has extensive experience as a space systems engineer specializing in modeling and simulation. He has held positions at various government contractors and universities. Some of his accomplishments include authoring several pioneering textbooks, developing new modeling techniques, and initiating the nation's first collaborative organization focused on emergent behavior in systems of systems.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
05 Bronner Richards
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
T R A I N I N G M O D U L E K K O F F I C E
This document provides information about Union Pacific Limited (UPL), a New Zealand-based online forex brokerage company. It outlines UPL's trading systems and services, including a fully automated trading platform available 24/5 with low fees. It also describes Optimum Management Services, the company appointed to promote UPL's platform through client registration, education, and account management. Details are given on forex trading methodology, available currency pairs, account types, position size, and the online platform for monitoring trades and making withdrawals. Risk management procedures like stop orders and margin calls are also summarized.
ElectroHex
This is a Product Brief of an electronic card game i designed together with Ziv KItaro and Avi Sabbag at Cedar Design Group.
Corporate governance in psu
The document discusses corporate governance guidelines for Central Public Sector Undertakings (CPSEs) in India as issued by the Department of Public Enterprises (DPE). It outlines the composition and functions of boards of directors, audit committees, and remuneration committees according to DPE guidelines. However, some CPSEs are not fully complying with the guidelines regarding representation of independent directors and functioning of audit committees. Improving governance of CPSEs could help raise their performance and competitiveness.
A Survey of Building Robust Business Models in Pervasive Computing
Pervasive computing is one of the most challenging and difficult computing domains nowadays. It includes many architectural challenges like context awareness, adaptability, mobility, availability, and scalability. There are currently few approaches which provide methodologies to build suitable architectural models that are more suited to the nature of the pervasive domain. This area still needs a lot of enhancements in order to let the software business analyst (BA) cognitively handle pervasive applications by using suitable tasks and tools. Accordingly, any proposed research topic that would attempt to define a development methodology can greatly help BAs in modeling pervasive applications with high efficiency. In this survey paper we address some of the most significant and current software engineering practices that are proving to be most effective in building pervasive systems.
For citation:
Osama M. Khaled and Hoda M. Hosny. A Survey of Building Robust Business Models in Pervasive Computing. An accepted paper in the 2014 World Congress in Computer Science Computer Engineering and Applied Computing
Below are various theories and models that have been used and can
Below are various theories and models that have been used and can be used in research (from Dr. Steve Brown)
Behavioral et. al.
Absorptive capacity Theory
Accountability Theory
Activity Theory
Adaptive Structuration Theory
Administrative Behavior Theory
Argumentation Theory
Asch Conformity
Behavioral Decision Model
Belief Action Outcome Framework
Chaos Theory
Cognitive Fit Theory
Cognitive Load Theory
Cognitive Behavioral Therapy
Classical Conditioning
Conditioned Emotional Response
Cognitive Dissonance
Cognitive “purposive” Behaviorism
Consequentialist Ethics
Critical Theory
Csíkszentmihályi’s Flow
Cultural Theory
Deontological Ethics
Diffusion of Innovations Theory
Dynamic Capabilities
Distributed Cognitions Theory
Embodied social presence theory
Equity theory
Evolutionary theory
Eysenck’s Theory
Expectancy-value theory
Expectation Confirmation Theory
False Memory Syndrome
Field Theory
Fishbein's Attitude
General Deterrence Theory
Gestalt Theory of Personality
General Strain theory
Goal Contagion Theory
Gompertz Model (based upon Social Conflict Theory)
Grounded Theory
Hermeneutics
Illusion of Control
Impression Management Theory
Information Processing Theory
Impression Management Theory
Information Asymmetry Theory
Information Security Management Theory
Institutional Theory
Integrated Systems Theory
Keller's Motivational Model
Language action perspective
Law of Effect
Law of Emotion
Learned Helplessness Theory
McClelland’s Needs Theory
Neutralization Theory
Operant Conditioning
Mitchel’s Personality theory
Prospect Theory
Protection Motivation Theory
Self Determination Theory
Self-Efficacy Theory
Social Action Theory
Social Conflict Theory
Social Cognitive Theory
Social Exchange Theory
Social Identity Theory
Social Influence Theory
Social Learning Theory
Socio Technical Systems Theory
Task Closure Theory
Technology Acceptance Model
Technology Threat Avoidance Theory
Theory of Contextualism
Theory of Contiguity
Theory of Equipotentiality
Theory of Planned Behavior
Theory of Protection Motivation
Theory of Reasoned Action
Theory of Planned Behavior
Trait Theory
Virtue Ethics
Unified theory of acceptance and use of technology (UTAUT)
Universal Law of Generalization
Non-Behavioral
Accountability obfuscation
Actor Network theory
Attack Tree and Vague Sets
Bayes Theorem
Bayesian Inference
Bayesian Belief Network
Bayesian Networks
Boundary Object Theory
Broadbent’s Filter Theory Model
Complexity Theory
Cooperative game theory
Conformity Theory
Critical Realism Theory
Customer Based Discrepancy Theory
Customer Focus Theory
Deferred Action Theory
Design Theory
Elaboration Likelihood Model
Fit-Viability Theory
Flow Theory
Game Theory
Garbage Can Theory
General Systems Theory
General Deterrence Theory
Hebbian Theory
Human Agency Theory
Information Warfare
Institutional theory
International Information Systems Theory
Internationalization Theory
Information Technology Portfolio
Knowledge Management
Noncooperative game theory
Organization Based Access C ...
Social media platform and Our right to privacy
The advancement of Information Technology has hastened the ability to disseminate information across the globe. In particular, the recent trends in ‘Social Networking’ have led to a spark in personally sensitive information being published on the World Wide Web. While such socially active websites are creative tools for expressing one’s personality it also entails serious privacy concerns. Thus, Social Networking websites could be termed a double edged sword. It is important for the law to keep abreast of these developments in technology. The purpose of this paper is to demonstrate the limits of extending existing laws to battle privacy intrusions in the Internet especially in the context of social networking. It is suggested that privacy specific legislation is the most appropriate means of protecting online privacy. In doing so it is important to maintain a balance between the competing right of expression, the failure of which may hinder the reaping of benefits offered by Internet technology
More Related Content
What's hot
"Reproducibility from the Informatics Perspective"
Dr. Altman will provide expert comment on the need for informatics modeling as part of the National Academies workshop: Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results
This workshop focuses on the topic of addressing statistical challenges in assessing and fostering the reproducibility of scientific results by examining three issues from a statistical perspective: the extent of reproducibility, the causes of reproducibility failures, and potential remedies.
Multi-objective NSGA-II based community detection using dynamical evolution s...
Community detection is becoming a highly demanded topic in social networking-based applications. It involves finding the maximum intraconnected and minimum inter-connected sub-graphs in given social networks. Many approaches have been developed for community’s detection and less of them have focused on the dynamical aspect of the social network. The decision of the community has to consider the pattern of changes in the social network and to be smooth enough. This is to enable smooth operation for other community detection dependent application. Unlike dynamical community detection Algorithms, this article presents a non-dominated aware searching Algorithm designated as non-dominated sorting based community detection with dynamical awareness (NDS-CD-DA). The Algorithm uses a non-dominated sorting genetic algorithm NSGA-II with two objectives: modularity and normalized mutual information (NMI). Experimental results on synthetic networks and real-world social network datasets have been compared with classical genetic with a single objective and has been shown to provide superiority in terms of the domination as well as the convergence. NDS-CD-DA has accomplished a domination percentage of 100% over dynamic evolutionary community searching DECS for almost all iterations.
Managing Confidential Information – Trends and Approaches
Personal information is ubiquitous and it is becoming increasingly easy to link information to individuals. Laws, regulations and policies governing information privacy are complex, but most intervene through either access or anonymization at the time of data publication.
Trends in information collection and management -- cloud storage, "big" data, and debates about the right to limit access to published but personal information complicate data management, and make traditional approaches to managing confidential data decreasingly effective.
This session presented as part of the the Program on Information Science seminar series, examines trends information privacy. And the session will also discuss emerging approaches and research around managing confidential research information throughout its lifecycle.
Linking Data to Publications through Citation and Virtual Archives
This document discusses linking data to publications through citation and virtual archives. It argues that data citation and sharing infrastructure are necessary for scientific reproducibility and open data. It outlines elements of data management plans and requirements for data sharing infrastructure, including persistence, provenance, access control and incentives. The document advocates for data citations as first-class objects and emerging practices like assigning DOIs to datasets. It presents several use cases for the Dataverse network, a virtual archive designed for research data sharing through federated and organizational models.
Eliciting and Visualising Trust Expectations using Persona Trust Characterist...
Developers and users rely on trust to simplify complexity when building and using software. Unfortunately, the invisibility of trust and the richness of a system's context of use means that factors influencing trust are difficult to see, and assessing its implications before a system is built is complex and time-consuming. This paper presents an approach for eliciting and visualising differences between trust expectations using persona cases, goal models, and complementary tool support. We evaluate our approach by using it to identify misplaced trust expectations in a software infrastructure by its users and application developers.
Reproducibility from an infomatics perspective
Scientific reproducibility is most viewed through a methodological or statistical lens, and increasingly, through a computational lens. Over the last several years, I've taken part in collaborations to that approach reproducibility from the perspective of informatics: as a flow of information across a lifecycle that spans collection, analysis, publication, and reuse.
These slides sketch of this approach, and were presented at a recent workshop on reproducibility at the National Academy of Sciences, and at one our Program on Information Science brown bag talks. See: informatics.mit.edu
Deep Neural Networks for Machine Learning
This is the slideshow for a presentation I gave as part of my graduate coursework at the Institute for Innovation and Public Purpose at University College London (UCL IIPP). Drawing on the work of IIPP professors including Carlota Perez (techno-economic paradigms), Mariana Mazzucato (“The Entrepreneurial State”), and Tim O’Reilly, I evaluate the innovation trajectory of Deep Neural Networks as a method of machine learning. I trace the history of machine learning to its present-day and conclude that while Deep Neural Networks have not yet reached technological maturity, they are already starting to encounter barriers to exponential growth and innovation. These slides were designed to be read independently from the spoken portion. If you found this useful or interesting, please message me on LinkedIn! - Justin Beirold
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Amit Sheth's Keynote at Semantic Web Technologies for Science and Engineering Workshop (held in conjunction with ISWC2003), Sanibel Island, FL, October 20, 2003.
Model bias in AI
We now live in a world where we trust intelligent systems blindly, believing in their rationality and objectivity. However, in reality this is far from the truth.
In this talk given at the City.AI Singapore chapter, we explored the nature, implications and handling strategies for Model Bias in AI.
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCES
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk reviews emerging big data sources for social scientific analysis and explores the challenges these present. Many of these sources pose distinct challenges for acquisition, processing, analysis, inference, sharing, and preservation.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology. Dr. Altman is also a Non-Resident Senior Fellow at The Brookings Institution. Prior to arriving at MIT, Dr. Altman served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Dr. Altman conducts research in social science, information science and research methods -- focusing on the intersections of information, technology, privacy, and politics; and on the dissemination, preservation, reliability and governance of scientific knowledge.
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALS
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk discusses findings from an analysis of data sharing and citation policies in Open Access journals and describes a set of novel tools for open data publication in open access journal workflows. Bring your lunch and enjoy a discussion fit for scholars, Open Access fans, and students alike.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology.
Rainey resume 2 25-2021
Larry B. Rainey has extensive experience as a space systems engineer specializing in modeling and simulation. He has held positions at various government contractors and universities. Some of his accomplishments include authoring several pioneering textbooks, developing new modeling techniques, and initiating the nation's first collaborative organization focused on emergent behavior in systems of systems.
What's hot (12)
"Reproducibility from the Informatics Perspective"
"Reproducibility from the Informatics Perspective"
Multi-objective NSGA-II based community detection using dynamical evolution s...
Multi-objective NSGA-II based community detection using dynamical evolution s...
Managing Confidential Information – Trends and Approaches
Managing Confidential Information – Trends and Approaches
Linking Data to Publications through Citation and Virtual Archives
Linking Data to Publications through Citation and Virtual Archives
Eliciting and Visualising Trust Expectations using Persona Trust Characterist...
Eliciting and Visualising Trust Expectations using Persona Trust Characterist...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCES
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCES
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALS
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALS
Viewers also liked
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
05 Bronner Richards
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
T R A I N I N G M O D U L E K K O F F I C E
This document provides information about Union Pacific Limited (UPL), a New Zealand-based online forex brokerage company. It outlines UPL's trading systems and services, including a fully automated trading platform available 24/5 with low fees. It also describes Optimum Management Services, the company appointed to promote UPL's platform through client registration, education, and account management. Details are given on forex trading methodology, available currency pairs, account types, position size, and the online platform for monitoring trades and making withdrawals. Risk management procedures like stop orders and margin calls are also summarized.
ElectroHex
This is a Product Brief of an electronic card game i designed together with Ziv KItaro and Avi Sabbag at Cedar Design Group.
Corporate governance in psu
The document discusses corporate governance guidelines for Central Public Sector Undertakings (CPSEs) in India as issued by the Department of Public Enterprises (DPE). It outlines the composition and functions of boards of directors, audit committees, and remuneration committees according to DPE guidelines. However, some CPSEs are not fully complying with the guidelines regarding representation of independent directors and functioning of audit committees. Improving governance of CPSEs could help raise their performance and competitiveness.
Viewers also liked (7)
Similar to Social Computing
A Survey of Building Robust Business Models in Pervasive Computing
Pervasive computing is one of the most challenging and difficult computing domains nowadays. It includes many architectural challenges like context awareness, adaptability, mobility, availability, and scalability. There are currently few approaches which provide methodologies to build suitable architectural models that are more suited to the nature of the pervasive domain. This area still needs a lot of enhancements in order to let the software business analyst (BA) cognitively handle pervasive applications by using suitable tasks and tools. Accordingly, any proposed research topic that would attempt to define a development methodology can greatly help BAs in modeling pervasive applications with high efficiency. In this survey paper we address some of the most significant and current software engineering practices that are proving to be most effective in building pervasive systems.
For citation:
Osama M. Khaled and Hoda M. Hosny. A Survey of Building Robust Business Models in Pervasive Computing. An accepted paper in the 2014 World Congress in Computer Science Computer Engineering and Applied Computing
Below are various theories and models that have been used and can
Below are various theories and models that have been used and can be used in research (from Dr. Steve Brown)
Behavioral et. al.
Absorptive capacity Theory
Accountability Theory
Activity Theory
Adaptive Structuration Theory
Administrative Behavior Theory
Argumentation Theory
Asch Conformity
Behavioral Decision Model
Belief Action Outcome Framework
Chaos Theory
Cognitive Fit Theory
Cognitive Load Theory
Cognitive Behavioral Therapy
Classical Conditioning
Conditioned Emotional Response
Cognitive Dissonance
Cognitive “purposive” Behaviorism
Consequentialist Ethics
Critical Theory
Csíkszentmihályi’s Flow
Cultural Theory
Deontological Ethics
Diffusion of Innovations Theory
Dynamic Capabilities
Distributed Cognitions Theory
Embodied social presence theory
Equity theory
Evolutionary theory
Eysenck’s Theory
Expectancy-value theory
Expectation Confirmation Theory
False Memory Syndrome
Field Theory
Fishbein's Attitude
General Deterrence Theory
Gestalt Theory of Personality
General Strain theory
Goal Contagion Theory
Gompertz Model (based upon Social Conflict Theory)
Grounded Theory
Hermeneutics
Illusion of Control
Impression Management Theory
Information Processing Theory
Impression Management Theory
Information Asymmetry Theory
Information Security Management Theory
Institutional Theory
Integrated Systems Theory
Keller's Motivational Model
Language action perspective
Law of Effect
Law of Emotion
Learned Helplessness Theory
McClelland’s Needs Theory
Neutralization Theory
Operant Conditioning
Mitchel’s Personality theory
Prospect Theory
Protection Motivation Theory
Self Determination Theory
Self-Efficacy Theory
Social Action Theory
Social Conflict Theory
Social Cognitive Theory
Social Exchange Theory
Social Identity Theory
Social Influence Theory
Social Learning Theory
Socio Technical Systems Theory
Task Closure Theory
Technology Acceptance Model
Technology Threat Avoidance Theory
Theory of Contextualism
Theory of Contiguity
Theory of Equipotentiality
Theory of Planned Behavior
Theory of Protection Motivation
Theory of Reasoned Action
Theory of Planned Behavior
Trait Theory
Virtue Ethics
Unified theory of acceptance and use of technology (UTAUT)
Universal Law of Generalization
Non-Behavioral
Accountability obfuscation
Actor Network theory
Attack Tree and Vague Sets
Bayes Theorem
Bayesian Inference
Bayesian Belief Network
Bayesian Networks
Boundary Object Theory
Broadbent’s Filter Theory Model
Complexity Theory
Cooperative game theory
Conformity Theory
Critical Realism Theory
Customer Based Discrepancy Theory
Customer Focus Theory
Deferred Action Theory
Design Theory
Elaboration Likelihood Model
Fit-Viability Theory
Flow Theory
Game Theory
Garbage Can Theory
General Systems Theory
General Deterrence Theory
Hebbian Theory
Human Agency Theory
Information Warfare
Institutional theory
International Information Systems Theory
Internationalization Theory
Information Technology Portfolio
Knowledge Management
Noncooperative game theory
Organization Based Access C ...
Social media platform and Our right to privacy
The advancement of Information Technology has hastened the ability to disseminate information across the globe. In particular, the recent trends in ‘Social Networking’ have led to a spark in personally sensitive information being published on the World Wide Web. While such socially active websites are creative tools for expressing one’s personality it also entails serious privacy concerns. Thus, Social Networking websites could be termed a double edged sword. It is important for the law to keep abreast of these developments in technology. The purpose of this paper is to demonstrate the limits of extending existing laws to battle privacy intrusions in the Internet especially in the context of social networking. It is suggested that privacy specific legislation is the most appropriate means of protecting online privacy. In doing so it is important to maintain a balance between the competing right of expression, the failure of which may hinder the reaping of benefits offered by Internet technology
Requirement analysis, architectural design and formal verification of a multi...
This paper presents an approach based on the analysis, design, and formal verification of a multi-agent
based university Information Management System (IMS). University IMS accesses information, creates
reports and facilitates teachers as well as students. An orchestrator agent manages the coordination
between all agents. It also manages the database connectivity for the whole system. The proposed IMS is
based on BDI agent architecture, which models the system based on belief, desire, and intentions. The
correctness properties of safety and liveness are specified by First-order predicate logic.
Goal Dynamics_From System Dynamics to Implementation
1) The document describes a PhD research proposal on developing dynamic modeling methods for goal dynamics and multi-agent systems.
2) The research aims to analyze and capture goal dynamics in social contexts and provide intelligent agents that can handle complex, distributed events in real-time.
3) The methodology involves defining artifacts and processes, modeling tools, and evaluating the results against objectives through case studies and simulations.
ANALYSIS OF DEVELOPMENT COOPERATION WITH SHARED AUTHORING ENVIRONMENT IN ACAD...
Team work is an important training element of future software engineers. However, the evaluation of the
performance of collaboration among individuals is very subjective. Meanwhile, how to effectively
promote the collaboration in an academic setting is an even more challenging task. The lack of a common
standard or method for the assessment is a practical issue in software engineering projects. With the
rapid development of shared authoring environments, such as Wiki, more and more educational
institutions are studying the adaptability of such kind of collaborative platforms. In order to study the
applicability of adopting wiki-based shared authoring environments in software engineering education,
we have proposed three major research questions. By solving these problems, we try to answer some of
the most important questions in adopting shared authoring platforms in academic settings.
Agent-Based Problem Solving Methods In Big Data Environment
This document introduces a special issue of the journal Web Intelligence and Agent Systems focusing on using agent-based methods to solve problems arising from big data. The issue includes four research papers covering topics like distributed problem solving, agent-based data mining, and recommendation systems applied to data from e-commerce, social networks, and other online sources. The guest editors introduce the challenges of big data and how agent-based approaches can help process large volumes of data efficiently.
STUDY OF AGENT ASSISTED METHODOLOGIES FOR DEVELOPMENT OF A SYSTEM
STUDY OF AGENT ASSISTED METHODOLOGIES FOR DEVELOPMENT OF A SYSTEMInternational Journal of Technical Research & Application
This document discusses and compares several agent-assisted methodologies for developing multi-agent systems:
- It reviews Gaia, HLIM, PASSI, and Tropos methodologies, outlining their key models and phases. Gaia focuses on analysis and design, HLIM models internal and external agent behavior, and PASSI and Tropos incorporate UML modeling.
- It then proposes a new MAB methodology intended to address shortcomings of existing approaches. MAB includes requirements, analysis, design, and implementation phases and models such as use case maps and agent roles.
- Finally, it concludes that agent technologies represent a promising approach for developing complex software systems, but that matching methodologies to problem domains and developing principTerrorism Analysis through Social Media using Data Mining
This document presents a study that uses deep learning models like Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) to analyze terrorism through detecting toxicity in social media text data. The study aims to classify text data into categories like toxicity, severe toxicity, obscenity, threat, insult or identity hate. It provides an overview of DNN and CNN models for text classification and compares their methodology, architecture and performance. The models are trained on preprocessed social media data related to terrorist activities and aim to accurately predict the toxicity level and classify tweets for concerned authorities to make informed decisions.
social networking site
This document is a project report for developing a social networking site submitted as part of a master's degree program. It discusses the existing system's limitations in allowing people to voice violations, injustice, and corruption happening around them. The proposed system aims to provide a common platform for citizens of India to discuss these issues and take appropriate action. It describes the system's modules, development strategy using prototyping, and technical feasibility of the project. In summary, the document outlines a social media platform to promote social responsibility in India by enabling citizens to report issues and participate in online discussions.
From Representation to Mediation: A New Agenda for Conceptual Modeling Resear...
From Representation to Mediation: A New Agenda for Conceptual Modeling Resear...Jan Recker @ University of Hamburg
Presentation to the Universiteit Hasselt about a paper appearing in the journal MIS Quarterly (2021), Vol. 45, Iss. 1, DOI: 10.25300/MISQ/2021/16027.MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR DETECTING ABUSIVE CONTENT O...
This document discusses machine learning and deep learning techniques for detecting abusive content on Twitter. It presents an overview of cyber abuse and sentiment analysis. A literature review covers past research on cyberbullying detection. The methodology uses a dataset of over 32k tweets, which are preprocessed and analyzed using machine learning algorithms and an LSTM deep learning model. Results show that the LSTM model achieves 99.5% accuracy and 74.8% F1 score, outperforming machine learning models for detecting abusive tweets. The conclusion is that deep learning more effectively identifies abuse but continued experimentation is needed to address this important social media problem.
Exploratory Data Analysis and Feature Selection for Social Media Hackers Pred...
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
EXPLORATORY DATA ANALYSIS AND FEATURE SELECTION FOR SOCIAL MEDIA HACKERS PRED...
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
IRJET - Real-Time Cyberbullying Analysis on Social Media using Machine Learni...
This document presents a system for real-time analysis of cyberbullying on social media using machine learning and text mining. The system aims to detect abusive conversations and censor harmful words to protect victims. It uses an artificial neural network machine learning algorithm to analyze words that could psychologically affect individuals. The system identifies abusive words in posts and comments and replaces them with censored content. This aims to prevent innocent users from being exposed to depressing or criminal activities online. The document discusses the system architecture, including tools for sentiment analysis, monitoring discussions, identifying abusive words, and updating a word database. Diagrams show the data flow, use cases, and interactions between system components.
THE INTEREST OF HYBRIDIZING EXPLAINABLE AI WITH RNN TO RESOLVE DDOS ATTACKS: ...
In this paper, we suggest a new method to address attack detection problems in IoT networks, by using a specific emphasis on the user’s and network’s requirements regarding the application provider and giving a defence against intruders and malicious users. The paper focuses on resolving the problem of detection of attacks in IoT networks using Recurrent Neural Networks and an explainable artificial intelligence technique (XAI) named SHAP. XAI refers to a collection of methods and procedures for explaining how AI models make decisions. Although XAI is useful for understanding the motivations underlying AI models, the information utilized in these discoveries may be a risk. Machine learning models are vulnerable to attacks such as model inversion, model extraction, and membership inference. Such attacks could concentrate on the learning model or on the data used to train and build the model, depending on the involved circumstances and parties. Hence, when the owner of an AI model wishes to grant only black-box access and does not expose the model's parameters and architecture to third parties, solutions like XAI can notably enhance the susceptibility to model extraction attacks.
To guarantee the users regarding possible violations, the proposed RNN-SHAP method is based on a decentralized topology relying on a set of cooperative independent parties including the users of IoT network. Another advantage of the suggested approach is the capitalization on the trust relationships that are part of IoT networks in real life to build trusted mechanisms in the network. Compared to other methods using different metrics, the suggested RNN-SHAP shows its efficiency in resolving the DDoS problem.
Security and Privacy Measurements in Social Networks: Experiences and Lessons...
We describe our experience gained while exploring practical security and privacy problems in a real-world, large- scale social network (i.e., Facebook), and summarize our conclu- sions in a series of “lessons learned”. We first conclude that it is better to adequately describe the potential ethical concerns from the very beginning and plan ahead the institutional review board (IRB) request. Even though sometimes optional, the IRB approval is a valuable point from the reviewer’s perspective. Another aspect that needs planning is getting in touch with the online social network security team, which takes a substantial amount of time. With their support, “bending the rules” (e.g., using scrapers) when the experimental goals require so, is easier. Clearly, in cases where critical technical vulnerabilities are found during the research, the general recommendations for responsible disclosure should be followed. Gaining the audience’s engagement and trust was essential to the success of our user study. Participants felt more comfortable when subscribing to our experiments, and also responsibly reported bugs and glitches. We did not observe the same behavior in crowd-sourcing workers, who were instead more interested in obtaining their rewards. On a related point, our experience suggests that crowd sourcing should not be used alone: Setting up tasks is more time consuming than it seems, and researchers must insert some sentinel checks to ensure that workers are not submitting random answers.
From a logistics point of view, we learned that having at least a high-level plan of the experiments pays back, especially when the IRB requires a detailed description of the work and the data to be collected. However, over planning can be dangerous because the measurement goals can change dynamically. From a technical point of view, partially connected to the logistics remarks, having a complex and large data-gathering and analysis framework may be counterproductive in terms of set-up and management overhead. From our experience we suggest to choose simple technologies that scale up if needed but, more importantly, can scale down. For example, launching a quick query should be straightforward, and the frameworks should not impose too much overhead for formulating it. We conclude with a series of practical recommendations on how to successfully collect data from online social networks (e.g., using techniques for network multi presence, mimicking user behavior, and other crawling “tricks”’) and avoid abusing the online service, while gathering the data required by the experiments.
Complete-SRS.doc
The software development process is complete for computer project analysis, and it is important to the evaluation of the random project. These practice guidelines are for those who manage big-data and big-data analytics projects or are responsible for the use of data analytics solutions. They are also intended for business leaders and program leaders that are responsible for developing agency capability in the area of big data and big data analytics .
For those agencies currently not using big data or big data analytics, this document may assist strategic planners, business teams and data analysts to consider the value of big data to the current and future programs.
This document is also of relevance to those in industry, research and academia who can work as partners with government on big data analytics projects.
Technical APS personnel who manage big data and/or do big data analytics are invited to join the Data Analytics Centre of Excellence Community of Practice to share information of technical aspects of big data and big data analytics, including achieving best practice with modeling and related requirements. To join the community, send an email to the Data Analytics Centre of Excellence
Trends in Information Management
This document contains an annotated bibliography on trends in information security with summaries of 6 sources. The sources discuss topics including biometric authentication alternatives, network integration design, and green computing in the cloud. Each annotation provides a brief summary of the source content and strengths/weaknesses.
H1803044651
1) The document discusses various ways that artificial intelligence can be applied to different phases of the software engineering lifecycle, including requirements specification, design, coding, testing, and estimation.
2) It provides examples of using techniques like natural language processing to clarify requirements, knowledge graphs to manage requirements information, and computational intelligence for requirements prioritization.
3) For design, the document discusses using intelligent agents to recommend patterns and designs to satisfy quality attributes from requirements and assist with assigning responsibilities to components.
Similar to Social Computing (20)
A Survey of Building Robust Business Models in Pervasive Computing
A Survey of Building Robust Business Models in Pervasive Computing
Below are various theories and models that have been used and can
Below are various theories and models that have been used and can
Requirement analysis, architectural design and formal verification of a multi...
Requirement analysis, architectural design and formal verification of a multi...
Goal Dynamics_From System Dynamics to Implementation
Goal Dynamics_From System Dynamics to Implementation
ANALYSIS OF DEVELOPMENT COOPERATION WITH SHARED AUTHORING ENVIRONMENT IN ACAD...
ANALYSIS OF DEVELOPMENT COOPERATION WITH SHARED AUTHORING ENVIRONMENT IN ACAD...
Agent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data Environment
STUDY OF AGENT ASSISTED METHODOLOGIES FOR DEVELOPMENT OF A SYSTEM
STUDY OF AGENT ASSISTED METHODOLOGIES FOR DEVELOPMENT OF A SYSTEM
Terrorism Analysis through Social Media using Data Mining
Terrorism Analysis through Social Media using Data Mining
From Representation to Mediation: A New Agenda for Conceptual Modeling Resear...
From Representation to Mediation: A New Agenda for Conceptual Modeling Resear...
MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR DETECTING ABUSIVE CONTENT O...
MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR DETECTING ABUSIVE CONTENT O...
Exploratory Data Analysis and Feature Selection for Social Media Hackers Pred...
Exploratory Data Analysis and Feature Selection for Social Media Hackers Pred...
EXPLORATORY DATA ANALYSIS AND FEATURE SELECTION FOR SOCIAL MEDIA HACKERS PRED...
EXPLORATORY DATA ANALYSIS AND FEATURE SELECTION FOR SOCIAL MEDIA HACKERS PRED...
IRJET - Real-Time Cyberbullying Analysis on Social Media using Machine Learni...
IRJET - Real-Time Cyberbullying Analysis on Social Media using Machine Learni...
THE INTEREST OF HYBRIDIZING EXPLAINABLE AI WITH RNN TO RESOLVE DDOS ATTACKS: ...
THE INTEREST OF HYBRIDIZING EXPLAINABLE AI WITH RNN TO RESOLVE DDOS ATTACKS: ...
Security and Privacy Measurements in Social Networks: Experiences and Lessons...
Security and Privacy Measurements in Social Networks: Experiences and Lessons...
More from tjoozey tjoozey
Social Computing : Virtual Worlds
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this software engineering approach can extract useful knowledge for more informed military decisions regarding insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to help the Army make more informed decisions for combating insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this technology can extract knowledge to support more informed decisions for combating insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapidly making accurate decisions to improve outcomes over time. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, and a 3D virtual world to model and observe insurgency behavior and assess outcomes of decisions. The framework is intended to extract knowledge useful for more informed military decision making.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying this software engineering approach can extract knowledge to help the Army make more informed decisions for combating insurgencies.
Social Computing
This document discusses developing an Insurgency Information Framework (IIF) using multi-agent technology and cognitive modeling. The research aims to provide decision support systems for rapid, accurate decision making to address insurgencies. The methodology uses an agent-oriented development environment, object-oriented development life cycle, model driven architecture, and multi-agent development process. Tools include JADE, Jadex, databases, and Second Life for virtual world visualization and experimentation. The conclusion states that applying software engineering to sociological analysis can provide an updatable structure to extract knowledge and support more informed decisions for addressing the insurgency crisis.
More from tjoozey tjoozey (6)
Recently uploaded
IT Career Hacks Navigate the Tech Jungle with a Roadmap
Feeling overwhelmed by IT options? This presentation unlocks your personalized roadmap! Learn key skills, explore career paths & build your IT dream job strategy. Visit now & navigate the tech world with confidence! Visit https://www.basecamp.com.sg for more details.
Resumes, Cover Letters, and Applying Online
This webinar showcases resume styles and the elements that go into building your resume. Every job application requires unique skills, and this session will show you how to improve your resume to match the jobs to which you are applying. Additionally, we will discuss cover letters and learn about ideas to include. Every job application requires unique skills so learn ways to give you the best chance of success when applying for a new position. Learn how to take advantage of all the features when uploading a job application to a company’s applicant tracking system.
A Guide to a Winning Interview June 2024
This webinar is an in-depth review of the interview process. Preparation is a key element to acing an interview. Learn the best approaches from the initial phone screen to the face-to-face meeting with the hiring manager. You will hear great answers to several standard questions, including the dreaded “Tell Me About Yourself”.
一比一原版布拉德福德大学毕业证（bradford毕业证）如何办理
一模一样【微信：A575476】【布拉德福德大学毕业证（bradford毕业证）成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
How to Prepare for Fortinet FCP_FAC_AD-6.5 Certification?
Begin Your Preparation Here: https://bit.ly/3VfYStG — Access comprehensive details on the FCP_FAC_AD-6.5 exam guide and excel in the Fortinet Certified Professional - Network Security certification. Gather all essential information including tutorials, practice tests, books, study materials, exam questions, and the syllabus. Solidify your knowledge of Fortinet FCP_FAC_AD-6.5 certification. Discover everything about the FCP_FAC_AD-6.5 exam, including the number of questions, passing percentage, and the time allotted to complete the test.
Switching Careers Slides - JoyceMSullivan SocMediaFin - 2024Jun11.pdf
Joyce M Sullivan, Founder & CEO of SocMediaFin, Inc. shares her "Five Questions - The Story of You", "Reflections - What Matters to You?" and "The Three Circle Exercise" to guide those evaluating what their next move may be in their careers.
官方认证美国旧金山州立大学毕业证学位证书案例原版一模一样
原版一模一样【微信：741003700 】【美国旧金山州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Jill Pizzola's Tenure as Senior Talent Acquisition Partner at THOMSON REUTERS...
Jill Pizzola's tenure as Senior Talent Acquisition Partner at THOMSON REUTERS in Marlton, New Jersey, from 2018 to 2023, was marked by innovation and excellence.
5 Common Mistakes to Avoid During the Job Application Process.pdf
The journey toward landing your dream job can be both exhilarating and nerve-wracking. As you navigate through the intricate web of job applications, interviews, and follow-ups, it’s crucial to steer clear of common pitfalls that could hinder your chances. Let’s delve into some of the most frequent mistakes applicants make during the job application process and explore how you can sidestep them. Plus, we’ll highlight how Alliance Job Search can enhance your local job hunt.
在线制作加拿大萨省大学毕业证文凭证书实拍图原版一模一样
原版一模一样【微信：741003700 】【加拿大萨省大学毕业证文凭证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Job Finding Apps Everything You Need to Know in 2024
SnapJob is revolutionizing the way people connect with work opportunities and find talented professionals for their projects. Find your dream job with ease using the best job finding apps. Discover top-rated apps that connect you with employers, provide personalized job recommendations, and streamline the application process. Explore features, ratings, and reviews to find the app that suits your needs and helps you land your next opportunity.
Gabrielle M. A. Sinaga Portfolio, Film Student (2024)
My portfolio as a highly motivated film student pursuing a career in Yogyakarta.
Leadership Ambassador club Adventist module
Aims to equip people who aspire to become leaders with good qualities,and with Christian values and morals as per Biblical teachings.The you who aspire to be leaders should first read and understand what the ambassador module for leadership says about leadership and marry that to what the bible says.Christians sh
Recently uploaded (20)
IT Career Hacks Navigate the Tech Jungle with a Roadmap
IT Career Hacks Navigate the Tech Jungle with a Roadmap
How to Prepare for Fortinet FCP_FAC_AD-6.5 Certification?
How to Prepare for Fortinet FCP_FAC_AD-6.5 Certification?
Switching Careers Slides - JoyceMSullivan SocMediaFin - 2024Jun11.pdf
Switching Careers Slides - JoyceMSullivan SocMediaFin - 2024Jun11.pdf
thyroid case presentation.pptx Kamala's Lakshaman palatial
thyroid case presentation.pptx Kamala's Lakshaman palatial
Jill Pizzola's Tenure as Senior Talent Acquisition Partner at THOMSON REUTERS...
Jill Pizzola's Tenure as Senior Talent Acquisition Partner at THOMSON REUTERS...
5 Common Mistakes to Avoid During the Job Application Process.pdf
5 Common Mistakes to Avoid During the Job Application Process.pdf
Leave-rules.ppt CCS leave rules 1972 for central govt employees
Leave-rules.ppt CCS leave rules 1972 for central govt employees
Job Finding Apps Everything You Need to Know in 2024
Job Finding Apps Everything You Need to Know in 2024
Status of Women in Pakistan.pptxStatus of Women in Pakistan.pptx
Status of Women in Pakistan.pptxStatus of Women in Pakistan.pptx
Gabrielle M. A. Sinaga Portfolio, Film Student (2024)
Gabrielle M. A. Sinaga Portfolio, Film Student (2024)
Social Computing
- 1. LeeRoy Bronner, Ph.D., P.E. Master Student: Akeila Richards Morgan State University Department of Industrial, Manufacturing, and Information Systems Engineering 5200 Perring Parkway Baltimore, MD 21251 Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF)
- 4. Definitions Insurgency : an armed rebellion by any irregular armed force that rises up against an established authority, government, or administration . Those carrying out an insurgency are insurgents. Insurgents conduct sabotage and harassment . Insurgents usually are in opposition to a civil authority or government primarily in the hope of improving their condition. Terrorism: systematic use of terror , manifesting itself in violence and intimidation. Those carrying out terrorism are terrorist. Terrorist conduct violence for the purpose of creating fear in order to achieve a political, economic, religious, or ideological goal . Framework: A logical structure for classifying and organizing complex information.
- 6. How are insurgencies planned for and what is the process? How are insurgencies carried out and what is the process? Are there any consistencies in the locations and surroundings where insurgencies are carried out? Why are more Iraqi women becoming insurgents? Sample Insurgency Questions That might be Addressed by This Research
- 8. METHODOLOGY
- 9. Agent Oriented Development Environment User Knowledge Interacts With Guides Verifies
- 10. Object-Oriented Development Life Cycle Implemented using Enterprise Architect Reference: Tsang, Curtis, et al., “Object-Oriented Technology,” McGraw Hill, 2005. Activity Diagram
- 11. Model Driven Architecture (MDA)
- 12. BDI Agent System Jadex BDI Architecture Goal-Oriented Reasoning Engine Agent BDI Model
- 13. Multi-Agent Systems Reference: Jennings, Nick, “Agent-Based Computing: Promise and Perils,” Presentation, Dept of Electronics and Computer Science, University of Southampton.
- 14. 3D Electronic Institution Concept Only systems that have a high degree of interactions need to be structured in order to avoid violations Reference: Bogdanovych, Esteva, et al, “A Methodology for developing MAS as 3D Electronic Institutions, Proceedings from 8th International Workshop on Agent Oriented Software Engineering (AOSE'07).
- 15. Integrated Multi-Agent Development Process Microsoft Access Cognitive Modeling Application JADEX Software/ JADE Platform Ontology Database Problem Domain Database Communication Server Electronic Institution Developmental Cycle Design Verify Test Deployment Development Simulate ISLANDER: graphical tool for specification of rules & protocols in eI AMELI: software platform to run eI aBuilder: agent development tool SIMDEI: simulation tool to animate & analyze eI iGrafix FlowCharter Enterprise Architect 2 nd Life Virtual World Technology Visualization Layer Behavioral Experimentation Insurgency Questions to be Answered
- 16. Runtime Architecture Reference: Bogdanovych, Esteva, et al., “A Methodology for developing MAS as 3D Electronic Institutions, Proceedings from 8th International Workshop on Agent Oriented Software Engineering (AOSE'07). Second Life ©
- 18. Development of an Insurgency Information Framework Using Multi-Agent Technololgy