Distributed software agents and applications : 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 3-5, 1994 : proceedings
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書誌事項
Distributed software agents and applications : 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 3-5, 1994 : proceedings
（Lecture notes in computer science, 1069 . Lecture notes in artificial intelligence）
Springer, c1996
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注記
Includes bibliographical references
内容説明・目次
内容説明
This book constitutes the refereed proceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, held in Odense, Denmark, in August 1994.
The 15 revised full papers included in the book were carefully selected from the workshop contributions; they address various current aspects of multi-agent systems, with a certain focus on applicational aspects. In addition, there is an invited paper "Agents: towards a society in which humans and computers cohabitate" by Mario Tokoro.
目次
Agents: Towards a society in which humans and computers cohabitate.- ARCHON and its environment.- What ants cannot do.- Towards a theory of cooperative problem solving.- A tool for handling uncertain information in multi-agent systems.- DA-SoC: A testbed for modelling distribution automation applications using agent-oriented programming.- APPEAL: A multi-agent approach to interactive learning environments.- Language constructs for coordination in an agent space.- A distributed approach to partial constraint satisfaction problems.- A collaboration strategy for repetitive encounters.- ASIC: An architechture for social and individual control and its application to computer vision.- Hierarchical model and communication by signs, signals, and symbols in multi-agent environments.- Plan recognition: From single-agent to multi-agent plans.- Distributed negotiation-based task planning for a flexible manufacturing environment.- A multi-agent approach to dynamic, adaptive scheduling of material flow.- Motion planning for an articulated robot: A multi-agent approach.
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