LEARNING
Emergence of Intelligence through Reinforcement Learning with a Neural Network
Katsunari Shibata
- Year
- 2011
- Citations
- 14
- Access
- Open access
Abstract
Recognition Action Planning modularized, sequential, and not flexible sensor motor massively parallel cohesively flexible & sequential and linguistic Control Fig. 1. Comparison of processing between humans and robots. The robot process is developed based on the understanding of the brain function through consciousness.
Keywords
Reinforcement learningArtificial neural networkReinforcementComputer scienceArtificial intelligencePsychologySocial psychology
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002