On curiosity in intelligent robotic systems

AAAI Fall Symposium - Technical Report

Volumn FS-06-05, Issue , 2006, Pages 44-51

  Stojanov, Georgi ^a   Kulakov, Andrea ^b  

^a AMERICAN UNIVERSITY OF PARIS   (France)

^b SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER ARCHITECTURE; CONTEXT SENSITIVE LANGUAGES; INTELLIGENT ROBOTS; MULTI AGENT SYSTEMS;

COGNITIVE PHENOMENA; DEVELOPMENTAL ROBOTICS; INTELLIGENT ROBOTIC SYSTEMS; INTELLIGENT ROBOTICS;

ROBOTICS;

EID: 33947275282     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (43)

1. Arbib, M. A. and Fellous, J-M., 2004. Emotions: from brain to robot, TRENDS in Cognitive Sciences Vol.8 No. 12
2. Barto, A. G., Singh, S., and Chentanez, N., 2004. Intrinsically motivated learning of hierarchical collections of skills. In Proceedings of International Conference on Developmental Learning (ICDL). MIT Press, Cambridge, MA.
3. Berlyne, D. E., 1950. Novelty and curiosity as determinants of exploratory behavior. British Journal of Psychology, 41, pp. 68-80.
4. Berlyne, D. E., 1954. A theory of human curiosity. British Journal of Psychology, 45, pp. 180-191.
5. Berlyne, D. E. (1960). Conflict, Arousal, and Curiosity. New York: McGraw Hill
6. Bickhard, M. H., 1993. Representational content in humans and machines. Journal of Experimental and Theoretical Artificial Intelligence, 5, pp. 285-333
7. Bickhard, M. H., 1998. Levels of representationality. Journal of Experimental and Theoretical Artificial Intelligence, 10(2), pp. 179-215
8. Bickhard, M. H., 2000. Motivation and Emotion: An Interactive Process Model. In R. D. Ellis, N. Newton (Eds.) The Caldron of Consciousness. J. Benjamins, pp. 161-178.
9. Breazeal C., 2002 Designing Sociable Robots, The MIT Press
10. Blank, D.S., Kumar, D., Meeden, L., and Marshall, J. 2005. Bringing up robot: Fundamental mechanisms for creating a self-motivated, self-organizing architecture. Cybernetics and Systems, 36(2), Taylor & Francis, pp. 125-150
11. Dayan, P., and Balleine., W., 2002. Reward, motivation and reinforcement learning. Neuron, 36, pp. 285-298
12. Dennett, D., 1996. Kinds of Minds, Basic Books, New York.
13. Frijda, N. and Swagerman, J., 1987. Can computers feel? Theory and design of an emotional model. Cognition and Emotion. 1 (3). pp 235-357
14. Hofstadter, D., 2001. Analogy as the Core of Cognition, in Dedre Centner, Keith J. Holyoak, and Boicho Kokinov (eds.) The Analogical Mind: Perspectives from Cognitive Science, Cambridge, MA: The MIT Press/Bradford Book, pp. 499-538
15. Harlow, H. F., 1953. Mice, monkeys, men, and motives. Psychological Review, 60, pp. 23-32
16. Hebb, D. O., 1955. Drives and the C.N.S. (Conceptual Nervous System), Psychological Review, 62, pp. 243-254.
17. Hsiao, K. and Roy, D., 2005. A Habit System for an Interactive Robot. AAAI Fall Symposium 2005: From Reactive to Anticipatory Cognitive Embodied Systems
18. nd International workshop on Epigenetic Robotics - Lund University Cognitive Studies 94, pp. 47-55.
19. Kaelbling, L. P., Littman, M. L., and Moore, A. W. 1996. Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4, pp. 237-285
20. Kliinley, A. P., Ainley, D. G., (eds.) 1998. Great White Sharks: The Biology of Carcharodon carcharias, Academic Press
21. Kakade, S. and Dayan, P., 2002. Dopamine: Generalization and bonuses. Neural Networks, 15, pp. 549-559
22. Kuipers, B., Beeson, P., Modayil, J., and Provost, J. 2006. Bootstrap learning of foundational representations, Connection Science, 18 (2), pp 145-158
23. Kulakov, A., 1998. Vygovorotsky - A Model of an Anticipative and Analogy-making Actor. MSc Thesis, New Bulgarian University, Sofia, Bulgaria
24. Kulakov, A. and Stojanov, G., 2002. Structures, inner values, hierarchies and stages: Essentials for developmental robot architectures. In Proceedings of the 2nd International workshop on Epigenetic Robotics - Lund University Cognitive Studies 94, pp. 63-69
25. Newton, N. 1996. "Foundations of Understanding", John Benjamins Publishing Company, Amsterdam.
26. Oudeyer, P.-Y. and Kaplan, F. 2006. The discovery of communication. Connection Science, 18(2).
27. Piaget, J. 1954. The Construction of Reality in the Child, Basic, New York
28. Precup, D. 2000. Temporal Abstraction in Reinforcement Learnin. Ph.D. Dissertation, U. of Massachusetts, Amherst.
29. Scheutz, M., 2002. Agents With or Without Emotions? In Proceedings of FLAIRS 02, AAAI Press, pp. 89-94
30. Schmidhuber, J., 1991. A possibility for implementing curiosity and boredom in model-building neural controllers. In J. A. Meyer and S. W. Wilson, editors, Proceedings of the International Conference on Simulation of Adaptive Behavior: From Animals to Animals, MIT Press/Bradford Books, pp. 222-227
31. Sloman, A. 1987. Motives mechanisms and emotions. Emotion and Cognition, 1(3):217-234. Reprinted in M. A. Boden, editor, The Philosophy of Artificial Intelligence, Oxford Readings in Philosophy Series, Oxford University Press, pages 231-247, 1990.
32. Stojanov, G., 1997. Expectancy Theory and Interpretation of EXG Curves in Context of Biological and Machine Intelligence. Unpublished PhD Thesis, ETF, Sts. Cyril and Methodius University, Skopje
33. Stojanov, G., Bozinovski, S., Trajkovski G., 1997. Interactionist- Expectative View on Agency and Learning. IMACS Journal for Mathematics and Computers in Simulation, North-Holland Publishers, Amsterdam.
34. st International Workshop on Epigenetic Robotics, Lund University Cognitive Studies, 85
35. Stojanov, G., Trajkovski, G., Kulakov, A., in press, Interactivism in AI and Intelligent Robotics, New Ideas in Psychology, Elsevier
36. Sutton, R. S. and Barto, A. G., 1998. Reinforcement Learning, The MIT Press.
37. Sutton, R., Precup, D. and Singh, S., 1999. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning, Artificial Intelligence 112(1-2), pp.181-211.
38. Thompson, W. R., & Solomon, L. M., 1954. Spontaneous pattern discrimination in the rat. J. comp. physiol. Psychol., 47, 104-107.
39. Trajkovski, G. 2006. An Imitation-based approach to modeling homogenous agents societies, Idea Group Publishing, Hershey.
40. Velásquez, J., 1998. When Robots Weep: Emotional Memories and Decision Making. In: Proceedings of AAAI-98.
41. Weng, J., McClelland, J., Pentland, A. Sporns, O., Stockman, I., Sur, M., and Thelen, E. 2001. Autonomous mental development by robots and animals. Science 291, pp. 599-60.
42. Weng, J., 2002. A theory for mentally developing robots. In Second International Conference on Development and Learning. IEEE Computer Society Press
43. White, R. W., 1959. Motivation reconsidered: The concept of competence. Psychological Review, 66, pp. 297-333