All intelligence relies on search-for example, the search for an intelligent agent's next action.
Search is only likely to succeed in resource-bounded agents if they have already been …

Purpose–The purpose of this paper is to demonstrate a novel use of a generalized Lennard‐
Jones (LJ) force law in Physicomimetics, combined with offline evolutionary learning, for the …

Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes
the joint behaviors of agents with some degree of autonomy and the complexities arising …

Nowadays, there are many problems whose complexity is much higher than the capabilities
of modern information technologies. Such problems arise in economics, ecology, managing …

The complexity raised in software systems by several emerging computing scenarios has
moved beyond the capabilities of traditional approaches to computer science and software …

Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual
approaches for dealing with complex distributed interactive software and information …

As intelligent systems become more pervasive and capture more expert and organizational
knowledge, the expectation that they be integrated into larger problem-solving systems is …

This paper provides an overview of research and development activities in the field of
autonomous agents and multi-agent systems. It aims to identify key concepts and …