Search results for: agents-and-computational-autonomy

Agents and Computational Autonomy

Author : Matthias Nickles
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This volume contains the postproceedings of the 1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003), held at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume represents the ?rst comprehensive survey of the state-of-the-art of research on autonomy, capturing di?erent theories of autonomy, perspectives on autonomy in di?erent kinds of agent-based systems, and practical approaches to dealing with agent autonomy. Agent orientation refers to a software development perspective that has evolved in the past 25 years in the ?elds of computational agents and multiagent systems. The basic notion underlying this perspective is that of a computational agent, that is, an entity whose behavior deserves to be called ?exible, social, and autonomous. As an autonomous entity, an agent possesses action choice and is at least to some extent capable of deciding and acting under self-control. Through its emphasis on autonomy, agent orientation signi?cantly di?ers from traditional engineering perspectives such as structure orientation or object o- entation. These perspectives are targeted on the development of systems whose behavior is fully determined and controlled by external units (e.g., by a p- grammer at design time and/or a user at run time), and thus inherently fail to capture the notion of autonomy.

Autonomous Agents and Multi agent Systems

Author : Jiming Liu
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An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system. Contents: Behavioral Modeling, Planning, and Learning; Synthetic Autonomy; Dynamics of Distributed Computation; Self-Organized Autonomy in Multi-Agent Systems; Autonomy-Oriented Computation; Dynamics and Complexity of Autonomy-Oriented Computation. Readership: Undergraduate and graduate students in computer science and most engineering disciplines, as well as computer scientists, engineers, researchers and practitioners in the field of machine intelligence.

Journal of Research and Practice in Information Technology

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Agent Autonomy

Author : Henry Hexmoor
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Autonomy is a characterizing notion of agents, and intuitively it is rather unambiguous. The quality of autonomy is recognized when it is perceived or experienced, yet it is difficult to limit autonomy in a definition. The desire to build agents that exhibit a satisfactory quality of autonomy includes agents that have a long life, are highly independent, can harmonize their goals and actions with humans and other agents, and are generally socially adept. Agent Autonomy is a collection of papers from leading international researchers that approximate human intuition, dispel false attributions, and point the way to scholarly thinking about autonomy. A wide array of issues about sharing control and initiative between humans and machines, as well as issues about peer level agent interaction, are addressed.

Multiagent System Technologies

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Agent Engineering

Author : Jiming Liu
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Agent engineering concerns the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating and delegating in a dynamic environment. It is one of the most promising areas of research and development in information technology, computer science and engineering. This book addresses some of the key issues in agent engineering: What is meant by “autonomous agents”? How can we build agents with autonomy? What are the desirable capabilities of agents with respect to surviving (they will not die) and living (they will furthermore enjoy their being or existence)? How can agents cooperate among themselves? In order to achieve the optimal performance at the global level, how much optimization at the local, individual level and how much at the global level would be necessary? Contents: Introduction to Agent Engineering (J-M Liu et al.)Why Autonomy Makes the Agent (S Joseph & T Kawamura)Knowledge Granularity Spectrum, Action Pyramid, and the Scaling Problem (Y-M Ye & J K Tsotsos)The Motivation for Dynamic Decision-Making Frameworks in Multi-Agent Systems (K S Barber & C E Martin)Dynamically Organizing KDD Processes in a Multi-Agent KDD System (N Zhong et al.)Self-Organized Intelligence (J-M Liu)Valuation-Based Coalition Formation in Multi-Agent Systems (S J Johansson)Simulating How to Cooperate in Iterated Chicken and Prisoner's Dilemma Games (B Carlsson)Training Intelligent Agents Using Human Data Collected on the Internet (E Sklar et al.)Agent Dynamics: Soap Paradigm (F W K Lor) Readership: Computer scientists, programmers, information technology practitioners, systems engineers, managers, researchers and graduate students in engineering. Keywords:

Engineering Societies in the Agents World

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Advances in Artificial Intelligence

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Logics in Artificial Intelligence

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Intelligent Agents

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The British National Bibliography

Author : Arthur James Wells
File Size : 82.63 MB
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Computational Science and Its Applications

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2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation

Author : Hong Zhang
File Size : 45.16 MB
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Bringing Knowledge to Business Processes

Author : Steffen Staab
File Size : 44.98 MB
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Proceedings

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Understanding Agent Systems

Author : Mark D'Inverno
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This book helps to organise the diverse landscape of agent-based systems by applying formal methods to provide a defining and encompassing agent framework. The Z specification language is used to provide an accessible and unified formal account of agent systems and inter-agent relationships. In particular, the framework precisely and unambiguously provides meanings for common concepts and terms for agent systems, enables alternative agent models and architectures to be described within it, and provides a foundation for subsequent development of increasingly more refined agent concepts. It describes agents, the relationships between them and the requisite capabilities for effective functioning in multi-agent systems, and is applied in different case studies. In the second edition the authors have revised and updated the existing chapters of the book to respond to advice from readers of the first edition, to add references to recent work in agent systems, and generally to bring the content up to date. They have extended the introduction and conclusions chapters to include a better review of the field and the current state of the art. This new edition features chapters on agent interaction and norms, and outlines an implementation framework. The book will appeal equally to researchers, students and technologists interested in intelligent agents and multi-agent systems. TOC:The Agent Landscape.- The SMART Agent Framework.- Agent Relationships.- An Operational Analysis of Agent Relationships.- Sociological Agents.- Autonomous Interaction.- The Contract Net as a Goal Directed System.- Computational Architecture for BDI Agents.- Evaluating Social Dependence Networks.- Normative Agents.- actSMART: Building a SMART System.- Conclusions.- A. The Z Specification Language.- References.- Index.

BOTS and Other Internet Beasties

Author : Joseph Williams
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Describes how to use intelligent, robot-like programs to retrieve, quantify, and present useful information from the Internet, as well as how to create and customize them. Topics include filtering agents, search engines, BargainFinder, security issues, agent mobility, robots, and manufacturing agents. The languages used to author these agents--Tcl, Telescript, and Java--are also presented. For the casual to accomplished user. The CD-ROM contains a Tcl/Tk compiler from Sun Labs, a Java Developer's Kit, and links to Tcl resources and software agents. Annotation copyrighted by Book News, Inc., Portland, OR

ISADS 95 Second International Symposium on Autonomous Decentralized Systems

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Holonic and Multi agent Systems for Manufacturing

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Cooperative Information Systems

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