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Applications of Multi-Agent Systems

6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 1994 Proceedings., Lecture Notes in Computer Science 1069 - Lecture Notes in Artificial Intelligence
ISBN/EAN: 9783540611578
Umbreit-Nr.: 1507349

Sprache: Englisch
Umfang: viii, 228 S.
Format in cm:
Einband: kartoniertes Buch

Erschienen am 24.04.1996
€ 53,49
(inklusive MwSt.)
Lieferbar innerhalb 1 - 2 Wochen
  • Zusatztext
    • 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.
  • Kurztext
    • InhaltsangabeAgents: 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.