Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Suicide as an Evolutionarily Stable Strategy
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Active vision and feature selection in evolutionary behavioral systems
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Learning in multi-robot scenarios through physically embedded genetic algorithms
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Introducing long term memory in an ANN based multilevel darwinist brain
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Co-evolving complex robot behavior
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This work is concerned with the study of the application of the MDB (Multilevel Darwinist Brain) evolution based Cognitive Architecture in real robots performing adaptive learning tasks The experiments described here display the capabilities of this architecture when dealing with tasks that involve real time learning from a teacher and real time adaptation to changes in the goals provided or the communication pattern used by the teacher One of the consequences of the interaction of the robot with the environment through the MDB is the generation of induced behaviors that allow the robot to continue its operation when no teacher is present The experiments were carried out using a Sony AIBO robot and a Pioneer 2 robot with the same mechanism running on both just to demonstrate the robustness of the approach.