The document discusses normative monitoring, including semantics and implementation. It provides definitions for key concepts like norms, counts-as rules, institutions, and normative monitors. The norm lifecycle and labelled transition system for normative monitors are also defined. The goal is to formally define the semantics and provide a direct translation from norms to rules for implementation in rule-based systems.
The document discusses norms and electronic institutions for regulating behavior in distributed systems, particularly for applications in e-contracting environments. It introduces a language for representing norms, discusses how norms can guide the behavior of normative agents, and how electronic institutions can provide safe environments for enforcing norms and coordinating agent interaction through the definition and enforcement of norms. It also discusses how contract-based approaches can provide governance in service-oriented architectures.
Forms are used to collect information from users. They contain form controls like text fields, checkboxes, menus. Forms submit data to a server-side script via the action attribute. The method attribute specifies how data is sent, either via GET which appends data to the URL, or POST which hides data. Labels associate text with form controls for accessibility. Fieldsets group related controls with a legend caption. Common form controls include text & textarea fields, submit/reset buttons, radio buttons, checkboxes, and select menus.
In systems based on organisational specifications a reoccur- ring problem remains to be solved in the disparity between the level of abstractness of the organisational concepts and the concepts used in the implementation. Organisational specifications (deliberately) abstract from general practice, which creates a need to relate the abstract con- cepts used in the specification to concrete ones used in the practice. The prevailing solution for this problem is the use of counts-as statements. However, current implementations of counts-as view the relations ex- pressed in this notion as static ontological classifications, which presents problems in dynamic environments where the meaning of abstract con- cepts can change over time. This limitation has already been solved in complex formal theoretical investigations, but the results of that study are far too complex to make a practical implementation. This paper in- vestigates the limitations of current implementations of counts-as, and proposes a more flexible implementation based on the use of inheritance relations.
The document discusses a project that developed methods for engineering verifiable cross-organizational networked business applications using contracts. The project created a formal contract framework, a contracting language to specify interactions, a contract execution environment for web services, and verification/monitoring tools. It aimed to allow predicting application behavior without full source code access by using contracts to represent obligations between parties.
The document provides an introduction and overview of using tables in HTML, including the basic table structure of <table>, <tr>, <th>, and <td> tags. It also covers additional table attributes and elements like cellpadding, cellspacing, caption, summary, abbr, scope, thead, tbody, and colspan and rowspan to span cells.
This document discusses computational mechanisms for norm enforcement in service-oriented architectures. It introduces concepts like behavior monitoring and enforcement in SOA, and proposes a norm enforcement mechanism. Key topics covered include applying concepts from artificial intelligence research to SOAs, challenges like semantic verification of service behavior and higher-level behavioral control, and how norms and institutions can provide rules to help govern service interactions and reduce risks.
The document discusses normative monitoring, including semantics and implementation. It provides definitions for key concepts like norms, counts-as rules, institutions, and normative monitors. The norm lifecycle and labelled transition system for normative monitors are also defined. The goal is to formally define the semantics and provide a direct translation from norms to rules for implementation in rule-based systems.
The document discusses norms and electronic institutions for regulating behavior in distributed systems, particularly for applications in e-contracting environments. It introduces a language for representing norms, discusses how norms can guide the behavior of normative agents, and how electronic institutions can provide safe environments for enforcing norms and coordinating agent interaction through the definition and enforcement of norms. It also discusses how contract-based approaches can provide governance in service-oriented architectures.
Forms are used to collect information from users. They contain form controls like text fields, checkboxes, menus. Forms submit data to a server-side script via the action attribute. The method attribute specifies how data is sent, either via GET which appends data to the URL, or POST which hides data. Labels associate text with form controls for accessibility. Fieldsets group related controls with a legend caption. Common form controls include text & textarea fields, submit/reset buttons, radio buttons, checkboxes, and select menus.
In systems based on organisational specifications a reoccur- ring problem remains to be solved in the disparity between the level of abstractness of the organisational concepts and the concepts used in the implementation. Organisational specifications (deliberately) abstract from general practice, which creates a need to relate the abstract con- cepts used in the specification to concrete ones used in the practice. The prevailing solution for this problem is the use of counts-as statements. However, current implementations of counts-as view the relations ex- pressed in this notion as static ontological classifications, which presents problems in dynamic environments where the meaning of abstract con- cepts can change over time. This limitation has already been solved in complex formal theoretical investigations, but the results of that study are far too complex to make a practical implementation. This paper in- vestigates the limitations of current implementations of counts-as, and proposes a more flexible implementation based on the use of inheritance relations.
The document discusses a project that developed methods for engineering verifiable cross-organizational networked business applications using contracts. The project created a formal contract framework, a contracting language to specify interactions, a contract execution environment for web services, and verification/monitoring tools. It aimed to allow predicting application behavior without full source code access by using contracts to represent obligations between parties.
The document provides an introduction and overview of using tables in HTML, including the basic table structure of <table>, <tr>, <th>, and <td> tags. It also covers additional table attributes and elements like cellpadding, cellspacing, caption, summary, abbr, scope, thead, tbody, and colspan and rowspan to span cells.
This document discusses computational mechanisms for norm enforcement in service-oriented architectures. It introduces concepts like behavior monitoring and enforcement in SOA, and proposes a norm enforcement mechanism. Key topics covered include applying concepts from artificial intelligence research to SOAs, challenges like semantic verification of service behavior and higher-level behavioral control, and how norms and institutions can provide rules to help govern service interactions and reduce risks.
La gente produce y consume información de las redes sociales. El contenido de estos mensajes puede ayudar a modelar el comportamiento de una ciudad. Éste modelo puede identificar anormalidades y entonces eventos disruptivos.
The document proposes studying how social institutions and individual behaviors interact in the tragedy of the commons problem. It discusses prior work on collective action dilemmas and models of individualistic vs communal agents. The hypothesis is that communal agents may optimize resource provision while individualistic agents optimize resource appropriation. An agent-based model is proposed to analyze the effects of different behavioral patterns and institutional changes on avoiding the tragedy of the commons.
Macros are functions that are supplied with Clojure and defined by users. Argument forms are passed as data to the macro function, which returns a new data structure as a replacement for the macro call. Many things that are built-in to other languages are implemented as macros in Clojure.
The document discusses artificial intelligence techniques used in commercial video games. It notes that pathfinding algorithms like A* are still commonly used. For behavior and strategy, games typically use scripting, finite state machines, rule engines, or decision trees to hardcode actions. This results in a lack of flexibility and reasoning. The document suggests that more reusable AI engines based on planning techniques could help, citing examples like GOAP that allow dynamic planning and re-planning to achieve goals. However, such engines still do not support reasoning about why particular actions are taken.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The ALIVE project aimed to develop techniques for engineering flexible and adaptive service-oriented applications. It involved designing organizational, coordination, and service models to describe distributed systems. Tools were created to specify coordination patterns and organizational rules to govern service interactions. The goal was to close the gap between theoretical approaches and existing web services technologies by bringing together ideas from coordination technology, organizational theory, and model-driven design.
Las técnicas de IA usadas en los juegos comerciales son en la mayoría de los casos predecibles, rígidas y poco adaptativas, causando una pérdida en el realismo de cara al jugador. En esta charla mostraremos cómo hemos conectado varios juegos (GTA IV, Warcraft 3, y otros) al framework ALIVE, basado en teorías organizacionales. El objetivo de nuestro trabajo es dotar al desarrollador de IA para juegos de una metodología y herramientas que permitan modelar escenarios de juego usando estructuras sociales.
This document discusses the ALIVE project, which aims to organize web services to develop dynamic, flexible, distributed systems. It provides an overview of the ALIVE approach, which involves modeling systems at an organizational level, coordination level, and service level. At the organizational level, roles, norms, and objectives are defined. At the coordination level, tasks and plans are allocated to actors. And at the service level, semantic web services are described, matched, and composed. The document presents examples and discusses how the multi-level modeling approach enables adaptation and traceability across levels.
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
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Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
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Building Production Ready Search Pipelines with Spark and MilvusZilliz
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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La gente produce y consume información de las redes sociales. El contenido de estos mensajes puede ayudar a modelar el comportamiento de una ciudad. Éste modelo puede identificar anormalidades y entonces eventos disruptivos.
The document proposes studying how social institutions and individual behaviors interact in the tragedy of the commons problem. It discusses prior work on collective action dilemmas and models of individualistic vs communal agents. The hypothesis is that communal agents may optimize resource provision while individualistic agents optimize resource appropriation. An agent-based model is proposed to analyze the effects of different behavioral patterns and institutional changes on avoiding the tragedy of the commons.
Macros are functions that are supplied with Clojure and defined by users. Argument forms are passed as data to the macro function, which returns a new data structure as a replacement for the macro call. Many things that are built-in to other languages are implemented as macros in Clojure.
The document discusses artificial intelligence techniques used in commercial video games. It notes that pathfinding algorithms like A* are still commonly used. For behavior and strategy, games typically use scripting, finite state machines, rule engines, or decision trees to hardcode actions. This results in a lack of flexibility and reasoning. The document suggests that more reusable AI engines based on planning techniques could help, citing examples like GOAP that allow dynamic planning and re-planning to achieve goals. However, such engines still do not support reasoning about why particular actions are taken.
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The ALIVE project aimed to develop techniques for engineering flexible and adaptive service-oriented applications. It involved designing organizational, coordination, and service models to describe distributed systems. Tools were created to specify coordination patterns and organizational rules to govern service interactions. The goal was to close the gap between theoretical approaches and existing web services technologies by bringing together ideas from coordination technology, organizational theory, and model-driven design.
Las técnicas de IA usadas en los juegos comerciales son en la mayoría de los casos predecibles, rígidas y poco adaptativas, causando una pérdida en el realismo de cara al jugador. En esta charla mostraremos cómo hemos conectado varios juegos (GTA IV, Warcraft 3, y otros) al framework ALIVE, basado en teorías organizacionales. El objetivo de nuestro trabajo es dotar al desarrollador de IA para juegos de una metodología y herramientas que permitan modelar escenarios de juego usando estructuras sociales.
This document discusses the ALIVE project, which aims to organize web services to develop dynamic, flexible, distributed systems. It provides an overview of the ALIVE approach, which involves modeling systems at an organizational level, coordination level, and service level. At the organizational level, roles, norms, and objectives are defined. At the coordination level, tasks and plans are allocated to actors. And at the service level, semantic web services are described, matched, and composed. The document presents examples and discusses how the multi-level modeling approach enables adaptation and traceability across levels.
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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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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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.
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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
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Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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