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Computational modeling of an early evolutionary stage of the nervous system The main questions How did the nervous system and the most primitive forms of intelligence came into being ? How a system can be organized during evolution that is able to ensure the adaptive behavior of a being ? What are the basic rules of construction that are sufficient to create a workable nervous system without specifying the details of the construction ? Introduction Artificial life Computational neuroethology Adaptive behavior The animat and its environment Anatomy Histology Genetics Environment Anatomy Evolution of the nervous system are not separable from the anatomy and morphogenesis of the modeled animal The animat is a tube-like organism which is similar to the body structure of a Hydra whit most primitive nervous system and without tentacles Histology Epithelial cells Muscle cells Nerve cells Genetics The basic information about the construction and functioning of animats are encoded in a genome Environment The environment is modeled as a box The stimulus is the appearance of a piece of food Experiments Parameters : Time and space-constant of the epithelial cells and nerve cells Number of nerve cells Maximum length of neural processes Time-constant and space-constant Number of nerve cells length of the processes Summary Efficiency of conductivity Adaptivity of behavior A possible direction of evolution : Epithelial cells Creation of nerve cells Increasing the number of nerve cells Increasing the time- And space-constant of nerve cells Action potential