To Learn or Not to Learn ...
نویسنده
چکیده
Multiagent systems in which agents interact with each other are now being proposed as a solution to many problems which can be grouped together under the \distributed problem solv-ing" umbrella. For such systems to work properly , it is necessary that agents learn from their environment and adapt their behaviour accordingly. In this paper we present a system which uses a combination of neuro{fuzzy learning and static adaptation to coordinate the activity of multiple agents. An epistemic utility based formulation is used to automatically generate the exemplars for learning, making the process un-supervised. The system has been developed in the context of a scientiic computing scenario.
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