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Title:
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NEURAL NETWORKS AS IMPROVING TOOLS FOR AGENT BEHAVIOR |
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Author(s):
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Alketa Hyso , Eva Çipi , Betim Çiço |
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ISBN:
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978-972-8924-87-4 |
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Editors:
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António Palma dos Reis |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Intelligent agent, machine learning techniques, multilayer perceptron |
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Type:
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Poster/Demonstration |
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First Page:
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261 |
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Last Page:
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263 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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One of the most interesting issues in agent technology has always been the modeling and enhancement of agent behavior.
In this paper we are focused on the intersection of agent technology and machine learning techniques for producing
intelligent agents. Our application shows that using neural network techniques we improve the reasoning mechanism of
our agent supplying to it a new behavior which it did not possess from the beginning. The learning process can be applied
initially to train dummy agent to further improve agent reasoning. The machine learning algorithms allow for an agent
to adequately respond to environment changes and improve the behavioral rules or acquire intelligent behavior. A case
study will be given to demonstrate such enhancement. |
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