Olivier Boissier - Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo
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- Book:Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo
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Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo: summary, description and annotation
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A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.
The book puts the approach into practice using the JaCaMo programming model and platform. It employs an easy-to-follow, step-by-step style, showing solutions to increasingly complex scenarios. The book also discusses the integration of MAOP into existing technologies and application domains, including mobile computing, web-based computing, and robotics. Finally, it considers artificial intelligence (AI)related classical problems from an MAOP perspective and discusses an agent-oriented approach to software engineering.
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Intelligent Robotics and Autonomous Agents
Edited by Ronald C. Arkin
A complete list of the books in the Intelligent Robotics and Autonomous Agents series appears at the back of this .
Multi-Agent Oriented Programming
Programming Multi-Agent Systems Using JaCaMo
Olivier Boissier, Rafael H. Bordini, Jomi F. Hbner, Alessandro Ricci
The MIT Press
Cambridge, Massachusetts
London, England
2020 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
Library of Congress Cataloging-in-Publication Data
Names: Boissier, Olivier, author. | Bordini, Rafael H., author. | Hbner, Jomi Fred, author. | Ricci, Alessandro, 1984- author.
Title: Programming collective autonomous systems: multi-agent oriented programming using JaCaMo / Olivier Boissier, Rafael H. Bordini, Jomi F. Hbner, and Alessandro Ricci.
Description: Cambridge, Massachusetts: The MIT Press, [2020] | Series: Intelligent robotics and autonomous agents series | Includes bibliographical references and index.
Identifiers: LCCN 2019059143 | ISBN 9780262044578 (hardcover)
Subjects: LCSH: Multiagent systems. | Intelligent agents (Computer software)
Classification: LCC QA76.76.I58 B67 2020 | DDC 006.3/0285436dc23
LC record available at https:// lccn .loc .gov /2019059143
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To Marie Dominique, Nomie, Mathilde, and Guillemette
OB
To Ismael, Kyra, Thor, and Maggi
RB
To Ilze, Morgana, and Thales
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To Sara, Sofia, Leonardo, Eugenio, and Gregorio
AR
Graphical symbols used in the book.
A representation of multi-agent systems inspired by Jennings (2001).
Analogy between MAS and human system (a bakery workshop scenario).
Dimensions of Multi-Agent Oriented Programming.
Dimensions and main concepts for MAOP.
Dynamic relations among instances of concepts of the MAOP dimensions.
Single-agent Hello-World configuration.
Coordination by communication.
Coordination using the environment.
Coordination by organization: Hello-World organization specification.
Coordination by organization: Entities of the Hello-World organization.
Main concepts in the agent dimension.
Concepts in the agent dimension.
Reasoning cycleruntime concepts in the agent dimension.
Agents and artifacts in the bakery workshop scenario.
Main concepts in the environment dimension.
Zooming environment concepts map and their relationships with the agent dimension.
A simple Counterartifact example.
Agents using and observing an artifact.
Linking artifacts.
Overview of distributed environments.
The room_controlleragent acting on and perceiving the hvacartifact in the roomworkspace.
Statechart diagram of the hvacartifact.
Smart room execution.
Fair room multi-agent system.
The votinginteraction protocol.
The
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