Predictability, Complexity, and Learning
Neural Computation
All else being equal be empowered
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Evolving spatiotemporal coordination in a modular robotic system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Empowerment for continuous agent-environment systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Empowerment is a promising concept to begin explaining how some biological organisms may assign a priori value expectations to states in taskless scenarios. Standard empowerment samples the full richness of an environment and assumes it can be fully explored. This may be too aggressive an assumption; here we explore impoverished versions achieved by limiting the bandwidth of the empowerment generating action sequences. It turns out that limited richness of actions concentrate on the "most important" ones with the additional benefit that the empowerment horizon can be extended drastically into the future. This indicates a path towards and intrinsic preselection for preferred behaviour sequences and helps to suggest more biologically plausible approaches.