Abstract
This paper presents a model of continuous sensory/motor systems for autonomous agents in naviga-tion problems. The Markov environmental model and sequential plan are extended with fuzzy sets, which present the mathematical transformation from discrete state space to continuous state space. The extended fuzzy environmental model and fuzzy sequential knowledge allow the identification of continuous sensory/motor systems with a gradient descent-based parameter estimation algorithm. A simulation demonstrates the feasibility of the proposed method.
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