A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Affordances, motivations, and the world graph theory
Adaptive Behavior - Special issue on biologically inspired models of navigation
Evolving action selection and selective attention without actions, attention, or selection
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Layered control architectures in robots and vertebrates
Adaptive Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Map-based navigation in mobile robots
Cognitive Systems Research
Map-based navigation in mobile robots
Cognitive Systems Research
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
BRAHMS: Novel middleware for integrated systems computation
Advanced Engineering Informatics
From mirror neurons to computational neurolinguistics
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
A model of reaching that integrates reinforcement learning and population encoding of postures
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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This article describes a biomimetic control architecture affording an animat both action selection and navigation functionalities. It satisfies the survival constraint of an artificial metabolism and supports several complementary navigation strategies. It builds upon an action selection model based on the basal ganglia of the vertebrate brain, using two interconnected cortico-basal-ganglia-thalamo-cortical loops: A ventral one concerned with appetitive actions and a dorsal one dedicated to consummatory actions. The performances of the resulting model are evaluated in simulation. The experiments assess the prolonged survival permitted by the use of high-level navigation strategies and the com plementarity of navigation strategies in dynamic environments. The correctness of the behavioral choices in situations of antagonistic or synergetic internal states are also tested. Finally, the modeling choices are discussed with regard to their biomimetic plausibility, while the experimental results are estimated in terms of animat adaptivity.