Distributed artificial intelligence (DAI) was a subfield of Artificial intelligence research dedicated to the development of distributed solutions for complex problems regarded as requiring intelligence. These days DAI has been largely supplanted by the field of Multi-Agent Systems. See the paper by Inman and Hewitt on some of the limitations of classic DAI.
There are many reasons for wanting to distribute intelligence or cope with multiagent sys...
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Distributed artificial intelligence (DAI) was a subfield of Artificial intelligence research dedicated to the development of distributed solutions for complex problems regarded as requiring intelligence. These days DAI has been largely supplanted by the field of Multi-Agent Systems. See the paper by Inman and Hewitt on some of the limitations of classic DAI.
There are many reasons for wanting to distribute intelligence or cope with multiagent systems
Mainstreams in DAI research included the following:
The key concept used in DPS and MABS is the abstraction called software agents. An agent is a virtual (or physical) autonomous entity that has an understanding of its environment and acts upon it. An agent is usually able to communicate with other agents in the same system to achieve a common goal, that one agent alone could not achieve.
A first classification that is useful is to divide agents into:
Well-recognized agent architectures that describe how an agent is internally structured...
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