document: From a biological to a computational model for the autonomous behavior of an animat Endowing an autonomous system like a robot with intelligent behavior is difficult for several reasons . First , behavior is such a wide topic that a general framework paradigm of inspiration must be chosen in order to obtain a consistent model . Such a framework can be , for example , biological modeling or an artificial intelligence approach . Second , a general framework is not sufficient to determine a fully specified program to be implemented in a robot . Many choices , tuning and tests must be carried out before obtaining a robust system . A biological model is presented , based on the definition of cortex-like automata , representing elementary functions in the perceptive , motor or associative domain . These automata are connected in a network whose architecture , functioning and learning rules are described in a cortical framework . Second , the computational model derived from that biological model is specified . The way units exchange and compute variables through links is explained , with reference to corresponding biological elements . It is then easier to report experiments allowing an autonomous system to learn regularities of a simple environment and to exploit them to satisfy some internal drives . Even if additional biological hints can be added , this model allow us to better understand how a biological model can be implemented and how biological properties can emerge from a distributed set of units
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