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Programming Multi-Agent Systems in AgentSpeak using Jason (c) by

Wiley-Interscience

The type of the release is: eBook

In the PDF format with ISBN: 0470029005 and Pub Date: December 04, 2007

The size of the release is: 02 disks x 1.44mb

And released on: 12/20/2007

Jason is an Open Source interpreter for an extended version of

AgentSpeak - a logic-based agent-oriented programming language - written

in Java. It enables users to build complex multi-agent systems that are

capable of operating in environments previously considered too

unpredictable for computers to handle. Jason is easily customisable and

is suitable for the implementation of reactive planning systems

according to the Belief-Desire-Intention (BDI) architecture. Programming

Multi-Agent Systems in AgentSpeak using Jason provides a brief

introduction to multi-agent systems and the BDI agent architecture on

which AgentSpeak is based. The authors explain Jason's AgentSpeak

variant and provide a comprehensive, practical guide to using Jason to

program multi-agent systems. Some of the examples include diagrams

generated using an agent-oriented software engineering methodology

particularly suited for implementation using BDI-based programming

languages. The authors also give guidance on good programming style with

AgentSpeak. Programming Multi-Agent Systems in AgentSpeak using Jason

- Describes and explains in detail the AgentSpeak extension

interpreted by Jason and shows how to create multi-agent systems using

the Jason platform.

- Reinforces learning with examples, problems, and illustrations.

- Includes two case studies which demonstrate the use of Jason in

practice.

- Features an accompanying website that provides further learning

resources including sample code, exercises, and slides This essential

guide to AgentSpeak and Jason will be invaluable to senior undergraduate

and postgraduate students studying multi-agent systems. The book will

also be of interest to software engineers, designers, developers, and

programmers interested in multi-agent systems.

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