Inference of Affordances and Active Motor Control in Simulated Agents
Fedor Scholz,
Christian Gumbsch,
Sebastian Otte
et al.
Abstract:Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference formalizes the generation of such behavior from a computational neuroscience perspective. Based on the theory, we introduce an output-probabilistic, temporally predictive, modular artificial neural network architecture, which processes sensorimotor information, infers behavior-relevant aspects of its world, and invokes highly flexible, goal-directed behavior. W… Show more
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