Applications of Multi-Agent Systems

6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 1994 Proceedings.

Häftad, Engelska, 1996

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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.

Produktinformation

Utgivningsdatum1996-04-24
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor228
Upplaga1996
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540611578

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Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT
Programvaruutveckling inom Data och IT

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.