Distributed Artificial Intelligence: Architecture and Modelling

First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995. Proceedings

AvChengqi Zhang,Dickson Lukose

Häftad, Engelska, 1996

Del i serien Lecture Notes in Computer Science

559 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:1996-06-12
Mått:155 x 235 x 14 mm
Vikt:382 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:238
Upplaga:1996
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540613145

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
3D-grafik och modellering inom Data och IT

Innehållsförteckning

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.