Abstract
The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist approach of reward and punishment. The paper introduces a new principle based on ’flow theory’. This new, ‘autotelic’, principle proposes that agents can become self-motivated if their target is to balance challenges and skills. The paper presents an operational version of this principle and argues that it enables a developing robot to self-regulate its development.
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References
Cohen, L., et al.: A constructivist model of infant cognition. Cognitive Development 17, 1323–1343 (2002)
Csikszentmihalyi, M.: Beyond Boredom and Anxiety: Experiencing Flow in Work and Play. Cambridge University Press, Cambridge (1978)
Csikszentmihalyi, M.: Flow. The Psychology of Optimal Experience .Harper and Row, New York (1990)
Csikszentmihalyi, M., Selega, I. (eds.): Optimal Experience: Psychological Studies of Flow in Consciousness. Cambridge University Press, Cambridge (2001)
Elman, J.: Learning and development in neural networks: The importance of starting small. Cognition 48, 71–89 (1993)
Elman, J.L., Bates, E.A., Johnson, M.H., Karmiloff-Smith, A., Parisi, D., Plunkett, K.: Rethinking innateness: A connectionist perspective on development. MIT Press, Cambridge (1996)
Hopfield, J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities. In: Proceedings of the National Academy of Sciences, USA, vol. 79, pp. 2554–2558 (1982)
Johnson, M.: The Infant Brain. In: Tokoro, M., Steels, L. (eds.) The Future of Learning, vol. 1, pp. 101–116. IOS Press, Amsterdam (2003)
Kirkpatrick, S., Gerlatt Jr., C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science 220, 671–680 (1983)
Matthews, J.: Art Education as a form of child abuse. Lecture for the National Institute of Education Singapore (1993)
Kaplan, F., Oudeyer, P.Y.: A generic engine for open-ended sensory-motor development. In: Epigenetic Robotics Workshop, Genoa (2004)
McFarland, D., Boesser, M.: Intelligent Behavior in Animals and Robots. MIT Press, Cambridge (1993)
Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)
Papadimitrious, C., Steiglitz, K.: Combinatorial Optimization: Algorithms and Complexity, Dover, New York (1998)
Steels, L., Brooks, R. (eds.): The Artificial life Route to Artificial Intelligence. Building Situated Embodied Agents. Lawrence Erlbaum, New Haven (1995)
Skinner, B.F.: Science and Human Behavior. Macmillan, New York (1953)
Steels, L.: Language games for Autonomous Agents. IEEE Intelligent Systems (2001)(September /October Issues)
Steels, L.: Evolving grounded communication for robots. Trends in Cognitive Science 7(7), 308–312 (2003)
Thelen, B., Smith, L.: A dynamic systems approach to cognition and development. MIT press, Cambridge (1994)
Uchibe, E., Asada, M., Hosoda, K.: Environmental complexity control for visionbased learning mobile robot. In: Proc. of IEEE Int. Conf on Robotics and Automation, pp. 1865–1870 (1998)
Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., Thelen, E.: Autonomous mental development by robots and animals. Science 291, 599–600 (2001)
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Steels, L. (2004). The Autotelic Principle. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds) Embodied Artificial Intelligence. Lecture Notes in Computer Science(), vol 3139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27833-7_17
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DOI: https://doi.org/10.1007/978-3-540-27833-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22484-6
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