Artificial Intelligence
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Understanding intelligence
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Classification as Sensory-Motor Coordination: A Case Study on Autonomous Agents
Proceedings of the Third European Conference on Advances in Artificial Life
Artificial Intelligence Review
Active categorical perception in an evolved anthropomorphic robotic arm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Co-evolving controller and sensing abilities in a simulated Mars rover explorer
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A swarm cognition realization of attention, action selection, and spatial memory
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Active categorical perception of object shapes in a simulated anthropomorphic robotic arm
IEEE Transactions on Evolutionary Computation
On the dynamics of active categorisation of different objects shape through tactile sensors
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Development of abstract categories in embodied agents
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Emergence of coherent coordinated behavior in a network of homogeneous active elements
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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We describe the results of a set of experiments in which we evolved the control system of artificial agents that are asked to categorize objects with different shapes on the basis of tactile information. Agents are provided with a 3-segments arm with 6 degrees of freedom and extremely coarse touch sensors. As we will see, despite such a limited sensory systems, evolved individuals are perfectly able to solve the problem. The analysis of the obtained results shows that evolved individuals always develop a well defined behavioral strategy that allows them to easily and robustly discriminate different objects despite the limitation of their sensory apparatus. Moreover, we discuss the general advantage of the evolutionary method for the synthesis of effective artificial agents.