This is the first comprehensive introduction to multiagent systems and contemporary
distributed artificial intelligence that is suitable as a textbook. The book provides detailed …

Multiagent systems is an expanding field that blends classical fields like game theory and
decentralized control with modern fields like computer science and machine learning. This …

Multi-agent systems is a subfield of Distributed Artificial Intelligence that has experienced
rapid growth because of the flexibility and the intelligence available solve distributed …

This edition is a translation of the book formerly published in French in 1995 (Les systèmes
multi-agents: Vers une intelligence collective, Inter Editions, Paris.) Even now, it is still the …

The term multi-agent system is currently in vogue, and has been generally applied to any
system that is, or can be considered to be, composed of multiple interacting agents. In the …

Multiagent systems have a long academic tradition. They have their roots in distributed
problem solving in Artificial Intelligence (AI) from where they emerged in the mid-eighties as …

Learning and intelligence are intimately related to each other. It is usually agreed that a
system capable of learning deserves to be called intelligent; and conversely, a system being …

This text contains introductory material on the subject of Multiagent Systems and Distributed
AI. It has been used as lecture notes for 3rd and 4th year courses at the Informatics Institute …

Computers are not very good at knowing what to do: every action a computer performs must
be explicitly anticipated, planned for, and coded by a programmer. If a computer program …

Scientific research and practice in multiagent systems focuses on constructing
computational frameworks, principles, and models for how both small and large societies of …