MULTI AGENT SYSTEM A LITERATURE SURVEY

Abstract

Multi-agent systems (MAS) are a core area of research of contemporary artificial intelligence. A multi-agent system consists of multiple decision-making agents which interact in a shared environment to achieve common or conflicting goals. Multi-agent systems (MASs) are a new and promising area in the field of distributed artificial intelligence (DAI), as well as in the mainstream computer science. These systems are compound of relatively autonomous and intelligent parts, called agents. Even if we restrict ourselves to computer science, a word ‘agent’ has many meanings. In agent is defined as hardware or (more usually) software based computer system that enjoys the following properties: Autonomy: Agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; Social ability: Agents interact with other agents (and possibly humans) via some kind of agent-communication language; Reactivity: Agents perceive their environment (which may be the physical world, a user via a graphical user interface, a collection of other agents, the Internet, or perhaps all of these combined), and respond in a timely fashion to changes that occur in it; Pro-activeness: agents do not simply act in response to their environment, they are able to exhibit goal-directed behavior by taking the initiative.” Multi-agent systems (MASs) are defined as a group of interacting entities or agents sharing a common environment that changes over time, with capabilities of perception and action, and the mechanisms for their coordination provide a modern perspective on systems that traditionally were regarded as centralized.(Aida Huerta Barrientos and Alejandro Nila Luevano,2022)1 MAS allow the sub problems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interests and goals. (Peter Stone Manuela Veloso, 2000) 

Author

Alwin Manuel, Dr.G.Gunasekaran