The automated generation of controllers for real-world autonomous agents by means of evo-
lutionary methods has recently attracted a lot of attention. Most of the pertinent research has …

Increasingly powerful computers are making possible distributed systems comprised of
many adaptive and self-motivated computational agents. Such systems, when distinguished …

This paper provides an overview of the bottom-up approach to artificial intelligence (AI),
commonly referred to as behavior-oriented AI. The behavior-oriented approach, with its …

In recent years, multi-agent systems (MASs) have received increasing attention in the
artificial intelligence community. Research in multi-agent systems involves the investigation …

Abstract Behavior-oriented Artificial Intelligence (AI) is a scientific discipline that studies how
behavior of agents emerges and becomes intelligent and adaptive. Success of the field is …

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 …

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 …

Recent decades have witnessed the emergence of artificial intelligence as a serious science
and engineering discipline. This textbook, aimed at junior to senior undergraduate students …

Providing a guided tour of the pioneering work and major technical issues, Multiagent
Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its …

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 …