|Título||Inducing domain theory from problem solving in a multi-agent system|
|Publication Type||Book Chapter|
|Year of Publication||2004|
|Authors||Puertas E, Armengol E|
|Editor||J. Vitrià etal.|
|Book Title||Recent Advances in Artificial Intelligence Research and Development|
The approach of in this paper tries to model the scenario of how an agent with poor domain experience could improve its problem solving behavior. In contrast to other approaches, we do not permit that agents exchange domain knowledge (neither cases nor domain theory). The agent with poor experience takes benefit of the problem solving behavior of other agents to improve its performance. Thus, it requests other agents for solving known problems and then induces one domain theory per requested agent. Finally, the agent achieves a higher accuracy in solving problems by his own using the induced domain theories.
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