Abstract
One of the main goals of Artificial Intelligence (AI) is to gain insight into natural intelligence through a synthetic approach, by generating and analyzing artificial intelligent behavior. In order to glean an understanding of a phenomenon as complex as natural intelligence, we need to study complex behavior in complex environments.
First published in: L. Steels (ed.), Nato ASI Series 144 (pp. 275–295). Berlin-Heidelberg: Springer-Verlag (copyright 1998 by Springer-Verlag, Berlin-Heidelberg).
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References
Brooks, R.A. (1987). A Hardware retargetable distributed layered architecture for mobile robot control. In IEEE International Conference on Robotics and Automation (pp. 106–110). Raleigh, NC: IEEE Computer Society Press.
Brooks, R.A. (1990a). The behavior language. User’s guide. Technical Report AIM-1227. Cambridge, MA: MIT Artificial Intelligence Laboratory.
Brooks, R.A. (1990b). Challenges for complete creature architectures. In J.-A. Meyer & S. Wilson (eds.), From animals to animais: International Conference on Simulation of Adaptive Behavior (pp. 434–443). Cambridge, MA: MIT Press.
Brooks, R.A. (1991). Intelligence without reason. In Proceedings IJCAI-91 (pp. 569–595). San Mateo, CA: Morgan Kaufman.
Canny, J.F. (1988). The complexity of robot motion planning. Cambridge, MA: MIT Press.
Deneubourg, J.L., S. Goss, N. Franks, A. Sendova-Franks, C. Detrain, & L. Chretien (1990). The dynamics of collective sorting. In J.-A. Meyer & S. Wilson (eds.), From animals to animats: International Conference on Simulation of Adaptive Behavior (pp. 356–363). Cambridge, MA: MIT Press.
Gutzwiller, M. (1992). Quantum chaos. Scientific American, January 1992.
Mataric, M.J. (1992). Designing emergent behaviors: From local interactions to collective intelligence. In J.-A. Meyer, H. Roitblat, & S. Wilson (eds.), From animals to animats: International Conference on Simulation of Adaptive Behavior (pp. 432–441). Cambridge, MA: MIT Press.
Mataric, M.J. (1993). Kin recognition, similarity, and group behavior. Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 705–710). Boulder, COLO: Lawerence Erlbaum Ass.
Mataric, M.J. (1994a). Interaction and intelligent behavior. Technical Report AI-TR-1495. Cambridge, MA: MIT Artificial Intelligence Laboratory.
Mataric, M.J. (1994b). Reward functions for accelerated learning. In W.W. Cohen & H. Hirsh (eds.), Proceedings of the Eleventh International Conference on Machine Learning (ML-94) (pp. 181–189). New Brunswick, NJ: Morgan Kauffman.
Minsky, M.L. (1986). The society of mind. New York: Simon and Schuster.
Simon, H. (1969). The sciences of the artificial. Cambridge, MA: MIT Press.
Weisbuch, G. (1991). Complex system dynamics. Lecture Notes Vol. II. Santa Fe Institute Studies in the Sciences of Complexity. New York: Addison-Wesley.
Wiggins, S. (1990). Introduction to applied nonlinear dynamical sytems and chaos. New York: Springer Verlag.
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Matarić, M.J. (2000). From Local Interactions to Collective Intelligence. In: Cruse, H., Dean, J., Ritter, H. (eds) Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3. Studies in Cognitive Systems, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0870-9_61
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DOI: https://doi.org/10.1007/978-94-010-0870-9_61
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