Distributed Artificial Intelligence: Architecture and Modelling de Chengqi Zhang

Distributed Artificial Intelligence: Architecture and Modelling: First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995. Proceedings: Lecture Notes in Computer Science, cartea 1087

Chengqi Zhang

Dickson Lukose

en Limba Engleză Paperback – 12 iun 1996

This book constitutes the refereed proceedings of the First Australian Workshop on Distributed Artificial Intelligence, held in Canberra, ACT, Australia, in November 1995.
The 16 full papers included in the book are revised versions of the contributions accepted for presentation at the workshop; they cover a wide range of current issues in the field of DAI, such as formal frameworks, methodology, theory, and architecture; various aspects of agents and multi-agent systems are addressed.

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Specificații

ISBN-13: 9783540613145
ISBN-10: 3540613145
Pagini: 248
Ilustrații: X, 238 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.59 kg
Ediția:1996
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Definition and application of a comprehensive framework for distributed problem solving.- A logical framework for multi-agent systems and joint attitudes.- A kernel-oriented model for autonomous-agent coalition-formation in general environments.- A knowledge-level model of co-ordination.- An evolutionary model of multi-agent systems.- Engagement and cooperation in motivated agent modelling.- A methodology for developing agent based systems.- Plans and the revision of intentions.- A formal view of social dependence networks.- From practice to theory in designing autonomous agents.- Motivation and perception mechanisms in mobile agents for electronic commerce.- Integrated agent architecture: Execution and recognition of mental-states.- Neural network strategies for solving synthesis problems in non-conflict cases in distributed expert systems.- A linearly quasi-anticipatory autonomous agent architecture: Some preliminary experiments.- Cooperation among opportunistic agents on a distributed environment.- A scenario-based design method and an environment for the development of multiagent systems.