Abstract
Examples of prerational intelligence are given using three case studies of robot navigation. It is demonstrated that the philosophy of focusing on cheap designs contributes significantly to our understanding of behavior. The real world has properties which can be exploited in the agent-environment interaction. This interaction, which is based on physical rather than information processes, must be taken into account when designing agents. It is also an essential part of understanding animal and human behavior.
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References
Brooks, R.A. (1990). Elephants don’t play chess. In P. Maes (ed.); Designing autonomous agents: Theory and practice from biology to engineering and back. Cambridge, MA: MIT Press, 3–15.
Brooks, R.A. (1991). Intelligence without reason. IJCAI-91, Proceedings of the Twelfth International Joint Conference on Artificial Intelligence; vol. 1 (pp. 569–595). San Mateo, CA: Morgan Kaufmann.
Chapman, D. (1987). Planning for conjunctive goals. Artificial Intelligence 32, 333–337.
Clancey, W.J. (1991). The frame of reference problem in the design of intelligent machines. In K. van Lehn (ed.), Architectures for intelligence. The 22nd Carnegie Mellon Symposium on Cognition (pp.357–423). Hillsdale, NJ: Lawrence Erlbaum Assoc.
Connell, J.H. (1992). Minimalist mobile robotics. Boston: Academic Press.
Franceschini, N., J.M. Pichon, &Blanes (1992). From insect vision to robot vision. Philosophical Transactions of the Royal Society London B 337, 283–294.
Hemelrijk, C., & D. Lambrinos (1994). Performance of two homing strategies in environments with differently distributed obstacles. Proceedings from Perception to Action Conference (pp. 352–355). Lausanne, Switzerland.
Horswill, I. (1992). Characterizing adaptation by constraint. Toward A Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life (pp. 21–30). Cambridge, MA: MIT Press.
Lambrinos, D., M. Maris, H. Kobayashi, T. Labhart, R. Pfeifer, & R. Wehner (1997). An autonomous agent navigating with a polarized light compass. Adaptive Behavior 6(1), 131–161. Cambridge, MA: MIT Press.
Maris, M. (1994). One sensor robot control. AILab internal report. Nr. 94.08. Zurich, Switzerland: University of Zurich.
McFarland, D. (1991). What it means for robot behaviour to be adaptive. In J.A. Mayer & S.W. Wilson (eds.), From animals to animats (pp. 152–159). Cambridge, MA: MIT Press.
McFarland, D., & T. Bösser (1993). Intelligent behavior in animals and robots. Cambridge, MA: MIT Press.
Mondada, F., E. Franzi, & P. Ienne (1993). Mobile robot miniaturisation: A tool for investigation in control algorithms. Third International Symposium on Experimental Robotics (pp. 501–513). Kyoto, Japan.
Müller, M., & R. Wehner (1988). Path integration in desert ants Cataglyphis fortis. Proceedings of the National Academy of Sciences, USA, 85, 528–7–5290.
Nehmzow, U., & B. McGonigle (1993). Robot navigation by light. Proceedings of the 2nd European Conference on Artificial Life (pp.835–844). Brussels, Belgium.
Pfeifer, R. (1995). Cognition: Perspectives from autonomous agents. Robotics and Autonomous Systems 15, 47–70.
Pfeifer, R., & C. Scheier (1999). Understanding Intelligence. Cambridge/Boston, MA: MIT Press.
Pfeifer, R., & P.F.M.J. Verschure (1992). Distributed adaptive control: A paradigm for designing autonomous agents. Toward A Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life (pp. 21–30). Cambridge, MA: MIT Press.
Pfeifer, R., & P.F.M.J. Verschure (1993). Designing efficiently navigating non-goal-directed robots. Proceedings of the Second International Conference on Simulation of Adaptive Behavior. From animals to animats (pp. 31–39). Cambridge, MA: MIT Press.
Pylyshyn, Z.W. (ed.), (1987). The robot’s dilemma. The frame problem in artificial intelligence. Norwood, NJ: Ablex.
Trullier, O., S.I. Wiener, A. Berthoz, & J.A. Meyer (1997). Biologically based artificial navigation systems: Review and prospects. Progress in Neurobiology 51, 483–544.
Verschure, P.F.M.J., B.J.A. Kröse, & R. Pfeifer (1992). Distributed adaptive control: The self-organization of structured behavior. Robotics and Autonomous Systems 9, 181–196.
Verschure, P.F.M.J., & R. Pfeifer, R. (1993). Categorization, representation, and the dynamics of system-environment interaction. Proceedings of the Second International Conference on Simulation of Adaptive Behavior From animals to animais (pp. 210–217). Cambridge, MA: MIT Press.
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Pfeifer, R., Maris, M. (2000). Cheap Designs: Exploiting the Dynamics of the System-Environment Interaction. Three Case Studies on Navigation. 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_52
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DOI: https://doi.org/10.1007/978-94-010-0870-9_52
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