Conceptual Modelling of Multi-Agent Systems proposes the methodology and engineering environment CoMoMAS for the development of multi-agent systems. CoMoMAS is among the most elaborated and most often cited multi-agent development approaches available in the field. Its originality is to address the issue of the development of multi-agent systems (MAS) from a knowledge engineering perspective, which means that agents are seen as interacting entities having different kinds of knowledge, which is to be identified during development. Knowledge has played an important role for MAS development in the past, but CoMoMAS makes a step further in proposing a complete set of conceptual models and a solid methodology to guide the overall development process of a MAS-from design to validation.
Conceptual Modelling of Multi-Agent Systems is an excellent reference for both researchers and practitioners in the broad area of distributed systems development. This book is of particular value from the point of view of computer science, including knowledge engineering, artificial intelligence, agent and multi-agent technology, and software engineering.

Glaser, Norbert

Boston, Mass.: Kluwer Academic Publishers

Multiagent systems, artificial societies, and simulated organizations : MASA : Intern. book ser -- 4, Boston [etc.], United States, 2002

Multiagent systems, artificial societies, and simulated organizations, Boston, MA, Massachusetts, 2002

United States, United States of America

1 edition, May 31, 2002

Includes bibliographical references (p. [245]-261) and index.

Библиогр.: с. 245-261
Указ.

РГБ

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In the last 10 years, research on distributed artificial intelligence (DAI) and on systems of several more or less autonomous agents, called multi-agent systems (MAS), has received much interest in the domain of artificial intelligence.

Multiagent Systems, Artificial Societies, and Simulated Organizations
Erscheinungsdatum: 31.05.2002

xviii, 265 p. : 25 cm
Includes bibliographical references (p. [245]-261) and index

Концептуальное моделирование многоэлементных систем представления знаний

2024-07-01