Learning predictive representations

Neurocomputing

Volumn 32-33, Issue , 2000, Pages 785-791

  Herrmann, J Michael ^a,b   Pawelzik, Klaus ^c   Geisel, Theo ^a  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^b Hanse Institute for Advanced Study   (Germany)

^c UNIVERSITY OF BREMEN   (Germany)

Author keywords

Autonomous robots; Hidden Markov models; Predictive representations

Indexed keywords

ALGORITHMS; BIOMECHANICS; COMPUTER SIMULATION; MARKOV PROCESSES; MATHEMATICAL MODELS; ROBOTS; SENSORY PERCEPTION;

ANIMAL EXPLORING; HIDDEN MARKOV MODEL; PREDICTIVE REPRESENTATION;

NEURAL NETWORKS;

ANIMAL EXPERIMENT; ARTICLE; ENVIRONMENT; ERROR; EXPLORATORY BEHAVIOR; LEARNING; MATHEMATICAL MODEL; MOVEMENT (PHYSIOLOGY); NONHUMAN; PERCEPTION; PERCEPTIVE DISCRIMINATION; PREDICTION; PRIORITY JOURNAL; RECOGNITION; SENSORY STIMULATION;

EID: 18544409493     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(00)00245-9     Document Type: Article

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