Computer Science – Neural and Evolutionary Computing
Scientific paper
2012-04-14
Computer Science
Neural and Evolutionary Computing
Manuscript was submitted to the 12th International Conference on the Simulation of Adaptive Behavior 2012; 10 pages, 6 figures
Scientific paper
Animals behave adaptively in the environment with multiply competing goals. Understanding of the mechanisms underlying such goal-directed behavior remains a challenge for neuroscience as well for adaptive system research. To address this problem we developed an evolutionary model of adaptive behavior in the multigoal stochastic environment. Proposed neuroevolutionary algorithm is based on neuron's duplication as a basic mechanism of agent's recurrent neural network development. Results of simulation demonstrate that in the course of evolution agents acquire the ability to store the short-term memory and, therefore, use it in behavioral strategies with alternative actions. We found that evolution discovered two mechanisms for short-term memory. The first mechanism is integration of sensory signals and ongoing internal neural activity, resulting in emergence of cell groups specialized on alternative actions. And the second mechanism is slow neurodynamical processes that makes possible to code the previous behavioral choice.
Burtsev Mikhail
Lakhman Konstantin
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