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Volumn 3139, Issue , 2004, Pages 259-270

Maximizing learning progress: An internal reward system for development

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; COMPUTER ARCHITECTURE; ERROR ANALYSIS; HUMAN COMPUTER INTERACTION; PERTURBATION TECHNIQUES; VECTORS; COMPUTERS;

EID: 23144453063     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-27833-7_19     Document Type: Conference Paper
Times cited : (61)

References (20)
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    • A neural substrate of prediction and reward
    • Schultz, W., Dayan, P., Montague, P.: A neural substrate of prediction and reward. Science 275 (1997) 1593-1599
    • (1997) Science , vol.275 , pp. 1593-1599
    • Schultz, W.1    Dayan, P.2    Montague, P.3
  • 5
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    • Metalearning and neuromodulation
    • Doya, K.: Metalearning and neuromodulation. Neural Networks 15 (2002)
    • (2002) Neural Networks , vol.15
    • Doya, K.1
  • 8
    • 1842793184 scopus 로고    scopus 로고
    • Motivational principles for visual know-how development
    • Prince, C., Berthouze, L., Kozima, H., Bullock, D., Stojanov, G., Balkenius, C., eds., Lund University Cognitive Studies
    • Kaplan, F., Oudeyer, P.Y.: Motivational principles for visual know-how development. In Prince, C., Berthouze, L., Kozima, H., Bullock, D., Stojanov, G., Balkenius, C., eds.: Proceedings of the 3rd international workshop on Epigenetic Robotics: Modeling cognitive development in robotic systems. Number 101, Lund University Cognitive Studies (2003) 73-80
    • (2003) Proceedings of the 3rd International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems , vol.101 , pp. 73-80
    • Kaplan, F.1    Oudeyer, P.Y.2
  • 14
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    • Finding structure in time
    • Elman, J.: Finding structure in time. Cognitive Science 14 (1990) 179-211
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.1
  • 16
    • 0033213813 scopus 로고    scopus 로고
    • Learning to perceive the world as articulated: An approach for hiearchical learning in sensory-motor systems
    • Tani, J., Nolfi, S.: Learning to perceive the world as articulated: An approach for hiearchical learning in sensory-motor systems. Neural Network 12 (1999) 1131-1141
    • (1999) Neural Network , vol.12 , pp. 1131-1141
    • Tani, J.1    Nolfi, S.2
  • 17
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    • Hierarchical mixtures of experts and the em algorithm
    • Jordan, M., Jacobs, R.: Hierarchical mixtures of experts and the em algorithm. Neural Computation 6 (1994) 181-214
    • (1994) Neural Computation , vol.6 , pp. 181-214
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  • 19
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    • Active vision and feature selection in evolutionary behavioral systems
    • Hallam, B., Floreano, D., Hallam, J., Hayes, G., Meyer, J.A., eds., Cambridge, MA., MIT Press
    • Marocco, D., Floreano, D.: Active vision and feature selection in evolutionary behavioral systems. In Hallam, B., Floreano, D., Hallam, J., Hayes, G., Meyer, J.A., eds.: From Animals to Animats 7, Cambridge, MA., MIT Press (2002)
    • (2002) From Animals to Animats , vol.7
    • Marocco, D.1    Floreano, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.