Abstract
To be useful in psychology “artificial organisms” have to perform tasks comparable to those performed by animals. One way to achieve this is to replicate actual animal experiments. Here we reproduce an experiment showing “detour behavior” in chicks - a behavior usually explained in terms of “cognitive maps” or other forms of internal representation. We artificially evolve software-simulated robots with a “generic” ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the results achieved in the original experiment. This proves that internal representations are not a necessary condition for primitive detour behavior and suggests that “detouring” evolves naturally from simpler behaviors. Future research will show whether it is possible to evolve more complex detour abilities using a similar bottom-up strategy.
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References
Marr D. (1982)-Vision, W.H. Freeman and Company.
Prato Previde, E., M. Colombetti, M.D. Poli & E. Cenami Spada (1992). The mind of organisms: Some issues about animal cognition. Focal article with commentary, International Journal of Comparative Psychology, 6(2), 79–119.
Braitenberg, V. (1984), Vehicles, Experiments in Synthetic Pscychology, MIT Press.
Beer R.D., (1989) Intelligence as Adaptive Behavior, Academic Press.
Lund H. H., Webb B., and Hallam, J. A (1997). Robot Attracted to the Cricket Species Gryllus bimaculatus. In P. Husbands and I. Harvey, editors, Proceedings of Fourth European Conference on Artificial Life, pages 246–255, Cambridge, MA,. MIT Press, Bradford Books.
Burgess N., Donnett J.G., O’Keefe, J., (1997) Robotic and Neuronal Simulation of Hippocampal navigation, AISB Workshop on “Spatial reasoning in Mobile Robots and Animals, Technical Report n. UMCS-75-4-1, University of Manchester.
Clark A., (1997), Being There, MIT Press.
Clark, A. and Thornton, C. (1997). Trading Spaces: Computation, Representation, and Limits of Uniformed Learning. Behavioral and Brain Sciences. 20, 57–90.
Cliff D. & Miller G.F. (1996) Co-evolution of Pursuit and Evasion II: Simulation methods and Results, in From animals to animats 4: Proceedings of the Fourth International Conference pm Simulation of Adaptive Behavior (SAB96), Maes P, Meyer J-A, Pollack J. & Wilson S.W. (eds), MIT Press.
Brooks, R.A. (1991). Intelligence without representation. Artificial Intelligence, 47(1–3), 139–159.
Nolfi, S., Floreano D., Miglino O., Mondada F., (1994), How to evolve autonomous robots: different approaches in evolutionary robotics. In Brooks R.A. & Maes P. (eds), Artificial Life IV-Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pp. 190–197, Cambridge MA, MIT Press.
Miglino O., Lund H. H., Nolfi S. (1996), Evolving Mobile Robots in Simulated and Real Environments, Artificial Life, 2(4): 417–434.
Walker R, Miglino O. (1999). Simulating exploratory behavior in evolving artificial neural networks, GECCO 1999, Proceedings of the Genetic and Evolutionary Computation Conference (in press).
Miglino, O., Denaro, D., Tascini, E., Parisi, D. (1998). Detour behavior in evolving robots. Porceedings of First European Workshop on Evolutionary Robotics.
Koelher, W. (1925). The Mentality of Apes. Harcout Brace, New York.
Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological Review, 36, 13–24.
Regolin, L., Vallortigara, G., Zanforlin, M. (1994) Object and Spatial Representations in Detour Problems by Chicks. Animal Behavior, 48:1–5.
Tolman, E.C. and Honzik, C.H. (1930). Insight in rats, University of California Publications in Psychology, vol 4, pp 215–32, 77–8.
Bennett, A. T. D., (1996). Do animals have cognitive maps?. Journal of Experimental Biology, 199(1), 219–224.
O’Keefe J., & Nadel L. (1978), The hippocampus as a cognitive map. Oxford University Press.
Roberts D.L., & Good M. (1999). Hippocampal lesions disrupt navigation based on cognitive maps but not heading vectors, John M. Pearce, Amanda, Nature, 396, 75–77
Wood R., Dudchenko P.A. & Eichenbaum H. (1999), The global record of memory in hippocampal neuronal activity, Nature Vol 397, 613–616.
Mondada F., Franzi E. & Ienne P. (1993) Mobile Robot miniaturisation. A tool for investigation in control algorithms. In Proceedings of the Third International Symposium on Experimental Robotics, Kyoto, Japan.
Minsky M. & Papert S., (1988) Perceptrons, MIT. Press.
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© 1999 Springer-Verlag Berlin Heidelberg
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Walker, R., Miglino, O. (1999). Replicating Experiments in “Detour Behavior” with Artificially Evolved Robots: An A-Life Approach to Comparative Psychology. In: Floreano, D., Nicoud, JD., Mondada, F. (eds) Advances in Artificial Life. ECAL 1999. Lecture Notes in Computer Science(), vol 1674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48304-7_27
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DOI: https://doi.org/10.1007/3-540-48304-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66452-9
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