Intelligence as adaptive behavior: an experiment in computational neuroethology
Intelligence as adaptive behavior: an experiment in computational neuroethology
Intelligence without representation
Artificial Intelligence
Detour Behaviour in Evolving Robots: Are Internal Representations Necessary?
Proceedings of the First European Workshop on Evolutionary Robotics
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Evolving mobile robots in simulated and real environments
Artificial Life
The grounding of motivation in artificial animals: Indices of motivational behavior
Cognitive Systems Research
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To be useful in psychology "artificial organisms" have to perform tasks comparable to those performed by animals. One way to achieve this is to rephcate actual animal experiments. Here we reproduce an experiment showing "detour behavior" in chicks - a behavior usually explained in terms of "cognitive maps" or other forms of internal representation. We artificially evolve software-simulated robots with a "generic" ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the results achieved in the original experiment. This proves that internal representations are not a necessary condition for primitive detour behavior and suggests that "detouring" evolves naturally from simpler behaviors. Future research will show whether it is possible to evolve more complex detour abilities using a similar bottom-up strategy.