An autonomous agent is a computational system that acquires sensory data from its
environment and decides by itself how to relate the external stimulus to its behaviors in order …

Autonomous multientity systems are plentiful in natural and artificial worlds. Many systems
have been studied in depth and some models of them have been built as computational …

In the last years the topic of adaptation and learning in multi-agent systems has gained
increasing attention in Artificial Intelligence. This article is intended to provide a compact …

Each decade has its key software technology to advance artificial intelligence, and each
technology is highlighted in a novel that sells much better than the underlying technology …

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

A challenging current research direction is the design of intelligent software systems—
'agents'—that are able to autonomously solve certain tasks within their environment …

For sometime now agent-based and multi-agent systems (MASs) have attracted the interest
of researchers far beyond traditional computer science and artificial intelligence (AI). In this …

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

Multi-agent systems require adaptability to perform effectively in complex and dynamic
environments. This article shows that agents should be able to benefit from dynamically …

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 …