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

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 …

Agents operate and exist in some environment, which typically is both computational and
physical. The environment might be open or closed, and it might or might not contain other …

The development of enabling infrastructure for the next generation of multi-agent systems
consisting of large numbers of agents and operating in open environments is one of the key …

Automated intelligent agents inhabiting a shared environment must coordinate their
activities. Cooperation—not merely coordination—may improve the performance of 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 …

As computer scientists, our goals are motivated by the desire to improve computer systems
in some way: making them easier to design and implement, more robust and less prone to …

Much of the current research related to intelligent agents has focused on the capabilities and
structure of individual agents. However, in order to solve complex problems, these agents …

As more AI applications are being formulated in terms of spatially, functionally, or temporally
distributed processing, multiagent systems(or what was previously called distributed AI) are …