An investigation of two mediation strategies suitable for behavioural control in animals and animats
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Using second order neural connections for motivation of behavioral choices
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Layered control architectures in robots and vertebrates
Adaptive Behavior
Combining multiple goals in a behavior-based architecture
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Central Action Selection Using Sensor Fusion
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
The Coevolution of Robot Behavior and Central Action Selection
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Integration of evolution with a robot action selection model
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
The use of evolution in a central action selection model
Applied Bionics and Biomechanics
Minimizing human intervention in the development of basal ganglia-inspired robot control
Applied Bionics and Biomechanics
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In this paper we present a concise analysis of the requirements for effective action selection, and a centralized action selection model that fulfills most of these requirements. In this model, action selection occurs by combining sensory information from the non-homogenous sensors of an off-the-shelf robot with the feedback from competing behavioral modules. In order to successfully clean an arena, the animal robot (animat) has to present a coherent overall behavior pattern for both appropriate selection and termination of a selected behavior type. In the same way, an animat set in a chasing task has to present opportunist action selection to locate the nearest target. In consequence, both an appropriate switching of behavior patterns and a coherent overall behavior pattern are necessary for effective action selection.