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Complex Behavior Using Classifier System

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-4 Issue-1
	Year of Publication : 2021
	Unique Identification Number : IJSRED-V4I1P23
	Authors : Afrah mahmood Abdulla
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Abstract :

Intelligent robots should be able to use sensors information to learn how to behave in a changing environment. As environmental complexity grows, the learning task becomes more and more difficult. This problem is faced by using an architecture based on learning classifier systems and on the structural properties of animals behavioral organization. Our proposed system used a fast GBML system called NEBOLE system to learn simulated robot to adopt a complex behavior which is combined from two or more basic behavior using a kind of architectures called Monolithic architecture.Our system adopt Rat-Cat-Dog problem as a complex behavior to be learned.