Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Intelligence without representation
Artificial Intelligence
Adaptive Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A Study of Off-Line Uses of Anticipation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Efference copies in neural control of dynamic biped walking
Robotics and Autonomous Systems
Vision-Motor Abstraction toward Robot Cognition
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
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In this study we show how simulated robots evolved to display a navigation skills can spontaneously develop an internal model and rely on it to complete their task when sensory stimulation is temporarily unavailable. The analysis of some of the best evolved agents indicates that their internal model operates by anticipating functional properties of the next sensory state rather than the exact state that sensors would have assumed. The characteristics of the states that are anticipated and of the sensory-motor rules that determine how the agents react to the experienced states, however, ensure that the agents produce very similar behaviour during normal and blind phases in which sensory stimulation is available or is self-generated by the agent itself, respectively. The characteristics of the agents' internal models also ensure an effective transition during the phases in which agents' internal dynamics is decoupled and re-coupled with the sensory-motor flow.