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• W1911500079 abstract "In behavior-based robotics the control of a robot is shared between a set of purposive perception-action units, called behaviors. A major issue in the design of behavior-based control systems is the formulation of effective mechanisms for coordination of the behaviors' activities into strategies for rational and coherent behavior. There has been extensive work to construct an optimal controller for a mobile robot by evolutionary approaches such as genetic algorithm, genetic programming, and so on. In this line of research, we have also presented a method of applying CAM-Brain, evolved neural networks based on cellular automata (CA), to control a mobile robot. However, this approach has limitations to make the robot to perform appropriate behavior in complex environments. The multi module coordination method can make complex and general behaviors by combining several modules evolved or programmed, to do a simple behavior. In this paper, we coordinate several modules evolved to do a simple behavior by Maes's action selection mechanism. Maes (1989) has proposed a mechanism for action selection, which is reviewed here and is evaluated using a simulation environment. Experimental results show that this approach has potential to develop a sophisticated evolutionary neural controller for complex environments." @default.
• W1911500079 created "2016-06-24" @default.
• W1911500079 creator A5044514062 @default.
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• W1911500079 date "2002-11-13" @default.
• W1911500079 modified "2023-09-26" @default.
• W1911500079 title "Coordination of multiple behavior modules evolved on CAM-Brain" @default.
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• W1911500079 doi "https://doi.org/10.1109/cec.2001.934357" @default.
• W1911500079 hasPublicationYear "2002" @default.
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