March 28, 2002: "Understanding Complex Systems: Notational Engineering and Ultra-Structure". Talk given at the University of North Carolina, Chapel Hill.
Nature-inspired Coordination for Complex Distributed SystemsAndrea Omicini
Originating from closed parallel systems, coordination models and technologies gained in expressive power so to deal with open distributed systems. In particular, nature-inspired models of coordination emerged in the last decade as the most effective approaches to tackle the complexity of pervasive, intelligent, and self-* systems. In this talk we survey the most relevant nature-inspired coordination models, discuss the main open issues, and explore the potential for their future development.
[Invited Talk @ IDC 2012, Calabria, Italy, 26/9/2012]
The document discusses what a knowledge representation is. It argues that a knowledge representation plays five distinct roles:
1. It acts as a surrogate for real-world entities, allowing reasoning to be done internally rather than through direct interaction. All representations are imperfect surrogates.
2. It embodies a set of ontological commitments about how to conceptualize the world. Selecting a representation means deciding what aspects to focus on and what to ignore.
3. It provides a fragmentary theory of intelligent reasoning, specifying what inferences are sanctioned and recommended.
4. It serves as a pragmatic and efficient computational environment for thinking.
5. It acts as a medium for human expression, a language
This document discusses the history and evolution of computer language design from a theoretical perspective. It describes computer language design as having two categories: theoretical and experimental. The theoretical side focuses on developing theories and abstractions to represent problem solving, while the experimental side conducts experiments to test theories. Over time, programming languages improved by removing unnecessary details (abstraction) to focus on essential aspects of problem solving. This led to a progression from machine-level to modern object-oriented languages that better facilitate solving complex problems.
May 21-25, 2000: "Why We Don't Understand Complex Systems". Poster session, presented at the International Conference on Complex Systems, sponsored by the New England Complex Systems Institute.
Mec@sxswi 2015 Key Takeaways and TrendsRonen Cohen
The 2015 SXSW Interactive Festival featured over 800 sessions, exhibits, competitions and networking events attended by 51,000 people in Austin, Texas. This year saw an increase in international participation and space for startups. A major theme was that innovation crosses all industries and cannot be separated. Virtual reality was a major focus, with many companies demonstrating new VR technologies and content. VR is creating excitement as a new medium for storytelling, though widespread adoption will take time as the technology continues to evolve.
Dokumen tersebut membahas tentang logika dan unsur-unsur dasarnya seperti kalimat, variabel, konstanta, pernyataan terbuka, kuantor, negasi, tabel kebenaran, pernyataan majemuk, silogisme, modus ponens dan modus tollens.
Nature-inspired Coordination for Complex Distributed SystemsAndrea Omicini
Originating from closed parallel systems, coordination models and technologies gained in expressive power so to deal with open distributed systems. In particular, nature-inspired models of coordination emerged in the last decade as the most effective approaches to tackle the complexity of pervasive, intelligent, and self-* systems. In this talk we survey the most relevant nature-inspired coordination models, discuss the main open issues, and explore the potential for their future development.
[Invited Talk @ IDC 2012, Calabria, Italy, 26/9/2012]
The document discusses what a knowledge representation is. It argues that a knowledge representation plays five distinct roles:
1. It acts as a surrogate for real-world entities, allowing reasoning to be done internally rather than through direct interaction. All representations are imperfect surrogates.
2. It embodies a set of ontological commitments about how to conceptualize the world. Selecting a representation means deciding what aspects to focus on and what to ignore.
3. It provides a fragmentary theory of intelligent reasoning, specifying what inferences are sanctioned and recommended.
4. It serves as a pragmatic and efficient computational environment for thinking.
5. It acts as a medium for human expression, a language
This document discusses the history and evolution of computer language design from a theoretical perspective. It describes computer language design as having two categories: theoretical and experimental. The theoretical side focuses on developing theories and abstractions to represent problem solving, while the experimental side conducts experiments to test theories. Over time, programming languages improved by removing unnecessary details (abstraction) to focus on essential aspects of problem solving. This led to a progression from machine-level to modern object-oriented languages that better facilitate solving complex problems.
May 21-25, 2000: "Why We Don't Understand Complex Systems". Poster session, presented at the International Conference on Complex Systems, sponsored by the New England Complex Systems Institute.
Mec@sxswi 2015 Key Takeaways and TrendsRonen Cohen
The 2015 SXSW Interactive Festival featured over 800 sessions, exhibits, competitions and networking events attended by 51,000 people in Austin, Texas. This year saw an increase in international participation and space for startups. A major theme was that innovation crosses all industries and cannot be separated. Virtual reality was a major focus, with many companies demonstrating new VR technologies and content. VR is creating excitement as a new medium for storytelling, though widespread adoption will take time as the technology continues to evolve.
Dokumen tersebut membahas tentang logika dan unsur-unsur dasarnya seperti kalimat, variabel, konstanta, pernyataan terbuka, kuantor, negasi, tabel kebenaran, pernyataan majemuk, silogisme, modus ponens dan modus tollens.
Notational engineering and the search for new intellectual primitivesJeff Long
The document is a cover page for a presentation on Notational Engineering and the Search for New Intellectual Primitives. It includes the title, author, date, and location of the presentation. The contents section lists the proposal and bio on pages 1-2 and slides without text on pages 3-31. The document is licensed under a Creative Commons license.
Applying a new software development paradigm to biologyJeff Long
May 7-11, 2003: Giddings, M. C. and Long, J. “Applying a New Software Development Paradigm to Biology: Developing applications that handle complexity and stand the test of time”. Poster session presented with Dr. M. C. Giddings, of the University of North Carolina, Chapel Hill, at the Genome Informatics Conference, sponsored by Cold Spring Harbor Laboratory.
Automated identification of sensitive informationJeff Long
October 21, 1999: "Using Ultra-Structure for Automated Identification of Sensitive Information in Documents". Presented at the 20th annual conference of the American Society for Engineering Management. Paper published in conference proceedings.
Introduction: The Structure of Complex systems, The Inherent Complexity of Software, Attributes of Complex System, Organized and Disorganized Complexity, Bringing Order to Chaos, Designing Complex Systems
Chapter 1 Complexity 4
1.1 The Structure of Complex Systems 6
1.2 The Inherent Complexity of Software 8
1.3 The Five Attributes of a Complex System 11
1.4 Organized and Disorganized Complexity 12
1.5 Bringing Order to Chaos 13
1.6 On Designing Complex Systems 14
The document discusses the origins and evolution of project management from a complexity theory perspective. It notes that project management was born out of managing complex systems, like missile development programs in the 1950s. However, over time the fields of general systems theory, cybernetics, and project management diverged, with project management becoming more linear and process-focused. The document argues that reconnecting project management with its roots in managing complex adaptive systems could provide insights into issues like non-linearity, emergence, evolution, and radical uncertainty.
This document summarizes key insights from a presentation on viewing project management through the lens of complexity theory. It discusses how complexity theory originated in the study of natural systems and how its concepts like emergence and non-linearity are relevant to project management. It also notes that while general systems theory promised to connect different fields, project management, cybernetics, and systems thinking ultimately diverged. The document reviews different perspectives on categorizing project complexity and shares insights from interviews where project managers discussed experiencing uncertainty, renegotiating plans, and maintaining progress despite radical uncertainty.
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor...Daniel Katz
This document discusses measuring the complexity of legal systems using the United States Code as a case study. It proposes measuring complexity based on the structure, language dependence, and size of the Code. Structure is measured by the number of hierarchical elements. Language dependence is measured by the net flow of citations between titles. Size is approximated by the number of words. A weighted composite measure is calculated by ranking titles based on these factors to quantify the complexity of acquiring and understanding the information in different parts of the Code.
Symbols and Search : What makes a machine intelligentAshwin P N
An Undergraduate student's analysis of the 1975 ACM Turing Award Lecture on the paper, "Computer Science as an Epirical Enquiry" by Alan Newell and Herbert Simon.
Expert systems are computer programs that emulate human experts by using knowledge about a domain to solve complex problems. They are divided into a knowledge base containing facts and rules, and an inference engine that applies rules to deduce new facts. Early expert systems were developed in the 1970s and proliferated in the 1980s, becoming some of the first truly successful forms of artificial intelligence software. They were used for applications like medical diagnosis, molecular identification, and configuring computer systems. While interest grew in the 1980s, expert systems declined as a standalone technology in the 1990s as their capabilities were integrated into broader business applications using tools like rule engines.
This document provides a summary of topics covered in Volume I of Principles of Database and Knowledge-Base Systems by Jeffrey D. Ullman. The volume covers classical database concepts such as the relational data model, relational algebra and calculus, query languages like SQL, and database design theory. It also introduces object-oriented and knowledge-base systems, and touches on physical data organization, transaction management, security, and distributed databases. The volume lays foundations for further exploration of these topics in the second volume.
Developing applications that stand the test of timeJeff Long
April 15, 2003: “Leveraging Notational Systems: Developing applications that stand the test of time”. Presented at the Collaborative Expedition workshop, sponsored by the U.S. General Services Administration as part of the federal Chief Information Officers’ Council.
IRJET - Application of Fuzzy Logic: A ReviewIRJET Journal
This document provides a review of the application of fuzzy logic. It begins with an abstract that introduces fuzzy logic as a way to organize ideas that cannot be precisely defined but depend on context, and notes its widespread use in fields with uncertainty like business, medicine, engineering, and behavioral sciences.
The main body of the document then discusses the concepts and foundations of fuzzy logic, including fuzzy sets, linguistic variables, and fuzzy inference systems. It provides examples of how fuzzy logic has been applied successfully in various domains like chemical science, healthcare, and agriculture to deal with nonlinear, uncertain systems. Specific applications mentioned include controlling the pH of wastewater and developing a real-time drug distribution system for open-heart patients.
On Methods for the Formal Specification of Fault Tolerant SystemsMazzara1976
1. The document discusses formal methods for specifying fault tolerant systems, defining them as methods that use mathematics and logic to introduce rigor into the software development process.
2. It proposes a schema for evaluating formal methods that includes having an underlying computational model, a defined language, defined steps and guidance for applying the method.
3. The document outlines a three step method for specifying fault tolerant systems that involves defining system boundaries, deriving specifications, and exposing assumptions about the environment.
New ways to represent complex systems and processesJeff Long
November 2, 1994: "New Ways to Represent Complex Systems & Processes". Talk presented at a seminar of the George Washington University Notational Engineering Laboratory (NEL).
Managing and benefiting from multi million rule systemsJeff Long
October 31, 2007: “Managing and Benefiting from Multi-Million Rule Systems”. Presented at the 2007 Conference of the New England Complex Systems Institute.
Notational systems and the abstract built environmentJeff Long
The document discusses the abstract built environment, which includes all abstract concepts, rules, and beliefs made possible by notational systems. Notational systems introduce new metaconcepts and provide a means to represent abstract concepts physically. Concepts derived from metaconcepts can be combined into rule systems through various notational systems, expanding the effability space of what can be expressed. The abstract built environment has grown over human history with the development of new notational systems and will continue to evolve. The document calls for the discipline of notational engineering to systematically study and develop new notational systems.
Systems nature of large complex projectsBob Prieto
This document discusses the systems nature of large complex programs. It argues that large complex programs behave as open systems rather than closed systems as traditional project management theory assumes. Key characteristics of large complex programs aligned with general systems theory include embracing uncertainty and change, having fluid boundaries, and demonstrating emergent properties. Adopting a systems approach requires thinking strategically and using tools like soft systems methodology to manage complexity. Large complex programs benefit from understanding interactions between elements at different levels and preparing for irregular and unexpected operations.
Four ways to represent computer executable rulesJeff Long
July 27, 2008: "Four Ways to Represent Computer-Executable Rules". Presented at InterSymp 2008 conference sponsored by the International Institute for Advanced Studies
in Systems Research and Cybernetics (IIAS). Paper published in conference proceedings.
This document summarizes a case study of a company that represents business rules primarily as relational data rather than via code. The company grew from $13 million to $175 million in revenues over 23 years while transitioning through three enterprise systems. The most recent system, developed using a "Ultra-Structure" approach where rules are stored as data, required more time and money than planned but resulted in lower ongoing maintenance costs compared to the industry average. Representing rules as data rather than code allows for more flexibility and easier updates over time as rules change.
Notational engineering and the search for new intellectual primitivesJeff Long
The document is a cover page for a presentation on Notational Engineering and the Search for New Intellectual Primitives. It includes the title, author, date, and location of the presentation. The contents section lists the proposal and bio on pages 1-2 and slides without text on pages 3-31. The document is licensed under a Creative Commons license.
Applying a new software development paradigm to biologyJeff Long
May 7-11, 2003: Giddings, M. C. and Long, J. “Applying a New Software Development Paradigm to Biology: Developing applications that handle complexity and stand the test of time”. Poster session presented with Dr. M. C. Giddings, of the University of North Carolina, Chapel Hill, at the Genome Informatics Conference, sponsored by Cold Spring Harbor Laboratory.
Automated identification of sensitive informationJeff Long
October 21, 1999: "Using Ultra-Structure for Automated Identification of Sensitive Information in Documents". Presented at the 20th annual conference of the American Society for Engineering Management. Paper published in conference proceedings.
Introduction: The Structure of Complex systems, The Inherent Complexity of Software, Attributes of Complex System, Organized and Disorganized Complexity, Bringing Order to Chaos, Designing Complex Systems
Chapter 1 Complexity 4
1.1 The Structure of Complex Systems 6
1.2 The Inherent Complexity of Software 8
1.3 The Five Attributes of a Complex System 11
1.4 Organized and Disorganized Complexity 12
1.5 Bringing Order to Chaos 13
1.6 On Designing Complex Systems 14
The document discusses the origins and evolution of project management from a complexity theory perspective. It notes that project management was born out of managing complex systems, like missile development programs in the 1950s. However, over time the fields of general systems theory, cybernetics, and project management diverged, with project management becoming more linear and process-focused. The document argues that reconnecting project management with its roots in managing complex adaptive systems could provide insights into issues like non-linearity, emergence, evolution, and radical uncertainty.
This document summarizes key insights from a presentation on viewing project management through the lens of complexity theory. It discusses how complexity theory originated in the study of natural systems and how its concepts like emergence and non-linearity are relevant to project management. It also notes that while general systems theory promised to connect different fields, project management, cybernetics, and systems thinking ultimately diverged. The document reviews different perspectives on categorizing project complexity and shares insights from interviews where project managers discussed experiencing uncertainty, renegotiating plans, and maintaining progress despite radical uncertainty.
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor...Daniel Katz
This document discusses measuring the complexity of legal systems using the United States Code as a case study. It proposes measuring complexity based on the structure, language dependence, and size of the Code. Structure is measured by the number of hierarchical elements. Language dependence is measured by the net flow of citations between titles. Size is approximated by the number of words. A weighted composite measure is calculated by ranking titles based on these factors to quantify the complexity of acquiring and understanding the information in different parts of the Code.
Symbols and Search : What makes a machine intelligentAshwin P N
An Undergraduate student's analysis of the 1975 ACM Turing Award Lecture on the paper, "Computer Science as an Epirical Enquiry" by Alan Newell and Herbert Simon.
Expert systems are computer programs that emulate human experts by using knowledge about a domain to solve complex problems. They are divided into a knowledge base containing facts and rules, and an inference engine that applies rules to deduce new facts. Early expert systems were developed in the 1970s and proliferated in the 1980s, becoming some of the first truly successful forms of artificial intelligence software. They were used for applications like medical diagnosis, molecular identification, and configuring computer systems. While interest grew in the 1980s, expert systems declined as a standalone technology in the 1990s as their capabilities were integrated into broader business applications using tools like rule engines.
This document provides a summary of topics covered in Volume I of Principles of Database and Knowledge-Base Systems by Jeffrey D. Ullman. The volume covers classical database concepts such as the relational data model, relational algebra and calculus, query languages like SQL, and database design theory. It also introduces object-oriented and knowledge-base systems, and touches on physical data organization, transaction management, security, and distributed databases. The volume lays foundations for further exploration of these topics in the second volume.
Developing applications that stand the test of timeJeff Long
April 15, 2003: “Leveraging Notational Systems: Developing applications that stand the test of time”. Presented at the Collaborative Expedition workshop, sponsored by the U.S. General Services Administration as part of the federal Chief Information Officers’ Council.
IRJET - Application of Fuzzy Logic: A ReviewIRJET Journal
This document provides a review of the application of fuzzy logic. It begins with an abstract that introduces fuzzy logic as a way to organize ideas that cannot be precisely defined but depend on context, and notes its widespread use in fields with uncertainty like business, medicine, engineering, and behavioral sciences.
The main body of the document then discusses the concepts and foundations of fuzzy logic, including fuzzy sets, linguistic variables, and fuzzy inference systems. It provides examples of how fuzzy logic has been applied successfully in various domains like chemical science, healthcare, and agriculture to deal with nonlinear, uncertain systems. Specific applications mentioned include controlling the pH of wastewater and developing a real-time drug distribution system for open-heart patients.
On Methods for the Formal Specification of Fault Tolerant SystemsMazzara1976
1. The document discusses formal methods for specifying fault tolerant systems, defining them as methods that use mathematics and logic to introduce rigor into the software development process.
2. It proposes a schema for evaluating formal methods that includes having an underlying computational model, a defined language, defined steps and guidance for applying the method.
3. The document outlines a three step method for specifying fault tolerant systems that involves defining system boundaries, deriving specifications, and exposing assumptions about the environment.
New ways to represent complex systems and processesJeff Long
November 2, 1994: "New Ways to Represent Complex Systems & Processes". Talk presented at a seminar of the George Washington University Notational Engineering Laboratory (NEL).
Managing and benefiting from multi million rule systemsJeff Long
October 31, 2007: “Managing and Benefiting from Multi-Million Rule Systems”. Presented at the 2007 Conference of the New England Complex Systems Institute.
Notational systems and the abstract built environmentJeff Long
The document discusses the abstract built environment, which includes all abstract concepts, rules, and beliefs made possible by notational systems. Notational systems introduce new metaconcepts and provide a means to represent abstract concepts physically. Concepts derived from metaconcepts can be combined into rule systems through various notational systems, expanding the effability space of what can be expressed. The abstract built environment has grown over human history with the development of new notational systems and will continue to evolve. The document calls for the discipline of notational engineering to systematically study and develop new notational systems.
Systems nature of large complex projectsBob Prieto
This document discusses the systems nature of large complex programs. It argues that large complex programs behave as open systems rather than closed systems as traditional project management theory assumes. Key characteristics of large complex programs aligned with general systems theory include embracing uncertainty and change, having fluid boundaries, and demonstrating emergent properties. Adopting a systems approach requires thinking strategically and using tools like soft systems methodology to manage complexity. Large complex programs benefit from understanding interactions between elements at different levels and preparing for irregular and unexpected operations.
Four ways to represent computer executable rulesJeff Long
July 27, 2008: "Four Ways to Represent Computer-Executable Rules". Presented at InterSymp 2008 conference sponsored by the International Institute for Advanced Studies
in Systems Research and Cybernetics (IIAS). Paper published in conference proceedings.
This document summarizes a case study of a company that represents business rules primarily as relational data rather than via code. The company grew from $13 million to $175 million in revenues over 23 years while transitioning through three enterprise systems. The most recent system, developed using a "Ultra-Structure" approach where rules are stored as data, required more time and money than planned but resulted in lower ongoing maintenance costs compared to the industry average. Representing rules as data rather than code allows for more flexibility and easier updates over time as rules change.
2008: "Case Study of an Enterprise System That Represents Rules Primarily as Relational Data Rather Than via Code". Published in Acta Systemica Vol. 8 No. 2 (2008) pp. 47‐54 available at http://iias.info/pdf_general/Booklisting.pdf
Ten lessons from a study of ten notational systemsJeff Long
August 1, 2007: "Ten Lessons from a Study of Ten Notational Systems". Presented at InterSymp 2007 Conference, sponsored by the International institute for Advanced Studies in Systems Research and Cybernetics (IIAS). Paper published in conference proceedings.
Notational systems and cognitive evolutionJeff Long
October 29, 2005: “Notational Systems and Cognitive Evolution”. Presented at the 2005
Annual Conference of the American Society for Cybernetics. Paper published in conference proceedings.
This document provides an overview of notational systems and abstractions. It defines key terms like notational systems, abstraction spaces, and abstraction instances. It argues that notational systems reify abstractions by mapping abstraction spaces. Each notational system maps a different abstraction space, and a useful system implies something about the nature of reality and cognition. Studying notational systems can provide insights into the nature of abstractions.
May 20, 2000: "Issues in the Study of Abstractions". Presented at the Eighth
Interdisciplinary Conference on General Evolutionary Systems, sponsored by the Washington Evolutionary Systems Society.
This document proposes a new discipline called "notational engineering" within the field of semiotics. It discusses how the scope of semiotic studies has expanded over time to include any patterned communication system. Notational systems are described as having distinctive features and mapping abstraction spaces. The document argues that a systematic study of notational systems, their development, strengths, limitations, and applications could lead to breakthroughs in representing complex ideas and solving problems. It outlines the goals and next steps for establishing notational engineering as a new cross-disciplinary field.
A metaphsical system that includes numbers rules and bricksJeff Long
February 24, 1996: "A Metaphysical System That Includes Numbers, Rules, and Bricks: The Evolution of Evolution." Presented at the Fourth Interdisciplinary Conference on General Evolutionary Systems, sponsored by the Washington Evolutionary Systems Society.
February 11, 1995: "The Nature of Notational Engineering." Presented at the Third Interdisciplinary Conference on General Evolutionary Systems, sponsored by the Washington Evolutionary Systems Society.
The co evolution of symbol systems and societyJeff Long
This document is a cover page and proposal for a talk on the co-evolution of symbol systems and society presented by Jeffrey G. Long at the Library of Congress on January 18, 1995. It includes an abstract outlining the talk, which will discuss how notational revolutions like the alphabet and numerals seem to follow general patterns, and how the Whorfian hypothesis applies more to notations than language. The presentation will be followed by a question period. The document also provides contact information for Jeffrey G. Long.
August 17, 1994: "Representing Emergence with Rules: The Limits of Addition." Presented at the 7th International Conference on Systems Research, Information and Cybernetics. Sponsored by The International Institute for Advanced Studies in Systems Research and Cybernetics, and the Society for Applied Systems Research. Paper published in Lasker, G. E. and Farre, G. L. (editors), Advances in Synergetics, Volume I: Systems Research on Emergence. (1994)
The evolution of symbol systems and societyJeff Long
June 25, 1994: "The Evolution of Symbol Systems and Society." Presented at the Fourth Annual International Conference, sponsored by The Society for Chaos Theory in Psychology and the Life Sciences.
Towards a new metaphysics of complex processesJeff Long
January 29, 1994: "Towards A New Metaphysics of Complex Processes." Presented at the Second Interdisciplinary Conference on General Evolutionary Systems, sponsored by the Washington Evolutionary Systems Society.
June 30, 1993: "Call for a New Notation: Creating the Future through New Ways of Seeing" Presented at the World Future Society Seventh General Assembly, sponsored by the World Future Society.
January 16, 1993: "Notational Evolution and Revolution". Presented at the Interdisciplinary Conference on Evolutionary Systems, sponsored by the Washington Evolutionary Systems Society.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Presentation of the OECD Artificial Intelligence Review of Germany
Understanding complex systems
1. Cover Page
Understanding
Complex Systems
Author: Jeffrey G. Long (jefflong@aol.com)
Date: March 28, 2003
Forum: Talk presented at the University of North Carolina, Chapel Hill.
Contents
Pages 1‐23: Slides (but no text) for presentation
License
This work is licensed under the Creative Commons Attribution‐NonCommercial
3.0 Unported License. To view a copy of this license, visit
http://creativecommons.org/licenses/by‐nc/3.0/ or send a letter to Creative
Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.
Uploaded June 27, 2011
3. P oposed o tline
Proposed outline
1: Background on the general problem:
representation and notational systems
2: Overview of Ultra Structure: one
Ultra-Structure:
new approach to complex systems
3: Simple Example of Biology Prototype
March 28, 2002 Copyright 2002 Jeff Long 2
4. 1: h
1 The Problem
bl
March 28, 2002 Copyright 2002 Jeff Long 3
5. Many if not most of our current problems arise
y o os o ou u p o s s
from the way we represent them
We may have pragmatic competence in using certain
y p g p g
kinds of complex systems but we still don’t really
understand them theoretically
economics, finance, markets
, ,
medicine, physiology, biology, ecology
This is not because of the nature of the systems but
systems,
rather because our analytical tools – our notational
systems and the abstractions they reify -- are
inadequate
March 28, 2002 Copyright 2002 Jeff Long 4
6. Complexity is not a property of systems; rather,
o p y s o p op y o sys s; ,
perplexity is a property of the observer
Systems appear complex under certain conditions; when
better understood they may still be “complicated” but
they are tractable to explanation
Using the wrong, or too-limited, an analytical toolset
creates these “complexity barriers”; they cannot be
breached without a new notational system
b h d ith t t ti l t
These problems cannot be solved by working harder,
using faster computers, or moving to OO techniques; they
do not arise due to lack of effort or lack of factual
information
March 28, 2002 Copyright 2002 Jeff Long 5
7. So far we have settled maybe
y
12 major abstraction spaces
March 28, 2002 Copyright 2002 Jeff Long 6
8. Notational systems are the primary tool that
human cognition has d
u og o s developed to embody
op d o ody
abstractions
Each primary notational system maps a different
“abstraction space”
Abstraction spaces are incommensurable
Perceiving these is a unique human ability
Acquiring literacy in a notation is learning how to see
a new abstraction space
Having
H i acquired such literacy, we see the world
i d h lit th ld
differently and can think about it differently
March 28, 2002 Copyright 2002 Jeff Long 7
9. This is essentially a broadening of Whorf’s notion
of linguistic relativity, Chomsky s notion of an
Chomsky’s
innate linguistic capability, and Tolstoy’s theory
of challenge and response by civilizations
All higher forms of thinking require the use of one or
more notational systems; the facility to perceive
these (but not the content) is biologically built in
( ) g y
The notational systems we habitually use influence
the manner in which we perceive our environment:
our picture of the universe shifts as we acquire
literacy in new notational systems
Notational systems have been central to the
evolution of the modern mind and modern civilization
March 28, 2002 Copyright 2002 Jeff Long 8
10. Conclusion to Section 1
Every analytical toolset (which is always based on a
y y ( y
notational system) has limitations: this appears to us
as a “complexity barrier”
The problems we face now in biology (and as a
civilization!) are, in many cases, notational
We need a more systematic way to develop and
settle abstraction spaces: notational engineering
March 28, 2002 Copyright 2002 Jeff Long 9
11. 2: One New Approach
March 28, 2002 Copyright 2002 Jeff Long 10
12. Current systems analysis methods work well only
under certain conditions
March 28, 2002 Copyright 2002 Jeff Long 11
13. The theory is based upon a different way of
describing complex systems and processes
observable
behaviors surface structure
generates
rules middle structure
constrains
form of rules
f f l deep structure
March 28, 2002 Copyright 2002 Jeff Long 12
14. Rules are a very powerful way of describing
things
Multi-notational: can include all other notational
systems
Explicitly
E li itl contingent
ti t
Describe both behavior and mechanism
Hundreds of thousands can be represented and
p
executed by a small computer!
March 28, 2002 Copyright 2002 Jeff Long 13
15. Any type of assertion can (evidently) be
reformulated into one or more If-Then rules
Natural language statements
Musical scores
Logical arguments
Business processes
Architectural drawings
Mathematical statements
But often one “molecular” rule becomes several
molecular
“atomic” rules
March 28, 2002 Copyright 2002 Jeff Long 14
16. Rules can be represented as data (records)
i a relational d t b
in l ti l database
Ultra-Structure Theory is a general theory of systems
representation, developed/tested starting 1985
Focuses on optimal computer representation of
F ti l t t ti f
complex, conditional and changing rules
Based on a new abstraction called ruleforms
The breakthrough was to find the unchanging
features of changing systems
March 28, 2002 Copyright 2002 Jeff Long 15
17. Rules in Ultra-Structure are Literal Implementations of
p
If-Then Statements
If X then consider A
h id and B
d Existential
Ruleform
TAA (Atomic Weight)
If X and Y then consider A and B Compound
Translation TAA (Stop Encoding) Ruleform
March 28, 2002 Copyright 2002 Jeff Long 16
18. Structured and Ultra-Structured data
are different
Structured data separates algorithms and data, and is
good for data processing and information retrieval
tasks,e.g. reports, queries, data entry
Ultra-Structured data has only “rules”, formatted in a
manner that allows a very small inference engine to
reason with them using standard deductive logic
“Animation” ft
“A i ti ” software h littl or no knowledge of
has little k l d f
the external world
March 28, 2002 Copyright 2002 Jeff Long 17
19. The Ruleform Hypothesis
Complex system structures are created by not-
necessarily complex processes; and these
il l d th
processes are created by the animation of
operating rules. Operating rules can be grouped
into a small number of classes whose form is
i ll b f l h f i
prescribed by "ruleforms". While the operating
rules of a system change over time, the ruleforms
remain constant. A well-designed collection of
i ll d i d ll i f
ruleforms can anticipate all logically possible
operating rules that might apply to the system,
and constitutes the deep structure of the system.
d h d f h
March 28, 2002 Copyright 2002 Jeff Long 18
20. The CoRE Hypothesis
We can create “Competency Rule Engines”, or
CoREs,
C RE consisting of <50 ruleforms, th t are
i ti f 50 l f that
sufficient to represent all rules found among systems
sharing broad family resemblances, e.g. all
corporations. Their definitive d
ti Th i d fi iti deep structure will b
t t ill be
permanent, unchanging, and robust for all members
of the family, whose differences in manifest
structures and b h i
d behaviors will b represented entirely
ill be d i l
as differences in operating rules. The animation
procedures for each engine will be relatively simple
compared to current applications, requiring less than
100,000 lines of code in a third generation language.
March 28, 2002 Copyright 2002 Jeff Long 19
21. The deep structure of a system
p y
specifies its ontology or “genotype”
What is common among all systems of type X?
What is the fundamental nature of type X systems?
What are the primary processes and entities involved
in type X systems?
What makes systems of type X different from
systems of type Y?
If we can answer these questions about a system,
then we have achieved real understanding
March 28, 2002 Copyright 2002 Jeff Long 20
22. Conclusion to Section 2
One example of a new abstraction is ruleforms To
ruleforms.
truly understand complex systems such as biological
systems, we must get beyond appearances (surface
structure) and rules (middle structure) to the stable
ruleforms (deep structure).
This is the goal of Ultra-Structure Theory.
March 28, 2002 Copyright 2002 Jeff Long 21
23. 3: A simple application example
March 28, 2002 Copyright 2002 Jeff Long 22
24. References
Long, J., and Denning, D., “Ultra-Structure: A design theory for
complex systems and processes.” In C
l d ” Communications of the
i i f h
ACM (January 1995)
Long, J., “Representing emergence with rules: The limits of
addition.
addition ” In Lasker, G E. and Farre G L (editors) Advances
Lasker G. E Farre, G. L. (editors),
in Synergetics, Volume I: Systems Research on Emergence.
(1996)
Long, J., “A new notation for representing business and other
g, , p g
rules.” In Long, J. (guest editor), Semiotica Special Issue:
Notational Engineering, Volume 125-1/3 (1999)
Long, J., “How could the notation be the limitation?” In Long, J.
(guest editor), S i ti S
( t dit ) Semiotica Special Issue: Notational Engineering,
i lI N t ti lE i i
Volume 125-1/3 (1999)
March 28, 2002 Copyright 2002 Jeff Long 23