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» Neural learning of embodied interaction dynamics
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IJON
2007
99views more  IJON 2007»
13 years 6 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliļ...
Anna Levina, Udo Ernst, J. Michael Herrmann
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 5 days ago
Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion
ā€” There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
Jonas Buchli, Fumiya Iida, Auke Jan Ijspeert
ECAL
2001
Springer
13 years 10 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artiļ¬cial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
IJCNN
2007
IEEE
14 years 14 days ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstractā€” Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown
ACMACE
2006
ACM
14 years 4 days ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher