Layered control architectures in robots and vertebrates
Adaptive Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Modeling adaptive autonomous agents
Artificial Life
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Theoretical approaches to the problem of action selection in autonomous agents often contrast centralised and distributed selection schemes Here we describe a neural substrate for distributed action selection in the vertebrate brain-stem, the medial reticular formation (mRF), which may form a evolutionary precursor to centralised schemes found in the higher brain We evaluate its competence as a selection device for robot control in a simulated resource co-ordination task, and use a genetic algorithm to evolve the mRF's inputs and internal structure Some configurations of the mRF could sufficiently co-ordinate actions to maximise the robot's energy, but this is critically dependent on a high rate of energy acquisition, which leaves an animal (or agent) susceptible to food shortages Thus, the inflexibility of the mRF as a distributed selection mechanism may have provided impetus for the evolution of more complex, centralised, selection mechanisms in the brain.