Semiotic Approach to Perceptual State Construction for Behavior-Based Robot through Recursive and Progressive Deepening Utilization of Memory

Journal of Robotics and Mechatronics

Volumn 12, Issue 6, 2000, Pages 640-649

  Sawaragi, Tetsuo ^a   Iwatsu, Satoshi ^b  

^a KYOTO UNIVERSITY   (Japan)

^b MITSUBISHI ELECTRIC CORPORATION   (Japan)

Author keywords

Concept formation; Inductive learning; Reinforcement learning; Semiotic learning; State grounding

Indexed keywords

INTELLIGENT ROBOTS; LEARNING ALGORITHMS; SEMIOTICS;

BEHAVIOR-BASED ROBOTS; CONCEPT FORMATION; INDUCTIVE LEARNING; INDUCTIVE LEARNING METHODS; REINFORCEMENT LEARNINGS; ROBOTIC AGENTS; SEMIOTIC APPROACHES; SEMIOTIC LEARNING; STATE GROUNDING; STATE-SPACE;

REINFORCEMENT LEARNING;

EID: 85165938954     PISSN: 09153942     EISSN: 18838049     Source Type: Journal    
DOI: 10.20965/jrm.2000.p0640     Document Type: Article

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