Decentralized Artificial Intelligence
Workshop Proceedings
Elsevier (Publisher)
Published on 6. July 1990
Book
Hardback
272 pages
978-0-444-88705-4 (ISBN)
Description
Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other. The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.
Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other. The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.
Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other. The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 250 mm
ISBN-13
978-0-444-88705-4 (9780444887054)
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Schweitzer Classification
Other editions
Additional editions

Content
Introduction (Y. Demazeau, J.-P. Muller) Features of the Autonomous Agent. Distributed Cooperation Algorithms (E. Werner). The Positive Role of Conflict in Cooperative Multi-Agent Systems (J.R. Galliers). Interactions between Decision Capabilities. Social Power: A Point Missed in Multi-Agent, DAI and HCI (C. Castelfranchi). Knowledge Interchange Protocols (J.A. Campbell, M.P. D'Inverno). Distributed AI and Manufacturing Control: Some Issues and Insights (H. Van Dyke Parunak). Interactions between Reasoning Capabilities. Interactions Among Autonomous Planning Agents (F. von Martial). A Temporal Planner for Modelling Autonomous Agents (M. Lizotte, B. Moulin). Motion Planning in a Multi-Agent World (T. Fraichard, Y. Demazeau). A Framework for the Recognition of Actions and Plans from Visual Information (M. Di Manzo, A. Cucchiarelli, S. Valenti). Interaction between Perceiving Capabilities. Cooperation between Distributed Agents through Self-Organisation (L. Steels). An Experiment in Cooperation (D. Connah, P. Wavish). Practical Issues for Information Exchange. Modelling Autonomous Agents and their Groups (T. Maruichi, M. Ichikawa, M. Tokoro). Experiences on Semi-Autonomous User Agents (H. Hammainen, J. Alasuvanto, R. Mantyla). Cooperating Expert Problem-Solving in Blackboard Systems: ATOME Case Study (B. Maitre, H. Laasri).