Intelligence without representation
Artificial Intelligence
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
Toward learning robots
Issues in evolutionary robotics
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Using emergent modularity to develop control systems for mobile robots
Adaptive Behavior - Special issue on environment structure and behavior
Evolutionary robotics and the radical envelope-of-noise hypothesis
Adaptive Behavior
Evolutionary neurocontrollers for autonomous mobile robots
Neural Networks - Special issue on neural control and robotics: biology and technology
Understanding intelligence
An Behavior-based Robotics
Achieving Artificial Intelligence through Building Robots
Achieving Artificial Intelligence through Building Robots
Macroevolutionary algorithms: a new optimization method on fitnesslandscapes
IEEE Transactions on Evolutionary Computation
Behavior analysis and training-a methodology for behaviorengineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This chapter provides a vision of some of the work we have been carrying out with the objective of making evolutionarily obtained behaviour based architectures and modules for autonomous robots more standardized and interchangeable. These architectures are based on a hierarchical behaviour structure where all of the modules, as well as their interconnections, are automatically obtained through evolutionary processes. The objective has been to obtain practical structures that would work in real robots operating in real environments and it is a first step towards a more ambitious approach in which no inkling to which would be the optimal organization of the modules would be provided. The emphasis of this work is to produce behaviour based structures that work on real robots operating in real environments and to be able to obtain them as independent of the platform as possible. To address this problem we have introduced the concept of virtual sensors and effectors in behaviour based architectures and studied different approaches to automatically obtain them.