A multi-agent system (MAS) or self-organized system is a computational system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning. With advancements in large language models, LLM-based multi-agent systems have emerged as a new area of research, enabling more sophisticated interactions and coordination among agents.
Facts
Origin YearRecorded here as a subfield of distributed artificial intelligence per this source; the multi-agent-systems entity traces its origin to the 1975 emergence of distributed artificial intelligence. Core ConcernHow multiple interacting intelligent agents can be coordinated to solve problems no single agent or monolithic system can solve alone. 2 Connections
Associated With
Multi-agent systems research is characterized in its own article as concerned with AI problem-solving architectures.
Source Multi-Agent Systems (Wikipedia)
Field-to-field association; both are standard neighbouring areas of computing
Sources
1. Distributed Artificial Intelligence (Wikipedia)
Wikimedia FoundationDevelopment section, sentence 1Quote, Development section, sentence 1
In 1975 distributed artificial intelligence emerged as a subfield of artificial intelligence that dealt with interactions of intelligent agents.
2. Multi-Agent Systems (Wikipedia)
Wikimedia FoundationLead paragraph, first sentence
A multi-agent system (MAS) or "self-organized system" is a computational system composed of multiple interacting intelligent agents.
Associated With: Artificial Intelligence, Research section
The study of multi-agent systems is "concerned with the development and analysis of sophisticated AI problem-solving and control architectures..."
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