Allostatic control for robot behavior regulation: A comparative rodent-robot study

Advances in Complex Systems

Volumn 13, Issue 3, 2010, Pages 377-403

  Sanchez Fibla, Marti ^a   Bernardet, Ulysses ^a   Wasserman, Erez ^b   Pelc, Tatiana ^b   Mintz, Matti ^b   Jackson, Jadin C ^c   Lansink, Carien ^d   Pennartz, Cyriel ^c   Verschure, Paul F M J ^a,e  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b TEL AVIV UNIVERSITY   (Israel)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d UNIVERSITY OF MARYLAND   (United States)

^e INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

allostasis; behavioral based robotics; Homeostasis; rodent behavior

Indexed keywords

EID: 77954565486     PISSN: 02195259     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219525910002621     Document Type: Conference Paper

References (40)

1. Arkin, R. C., Behavior-Based Robotics (MIT Press, 1998).
2. Bernardet, U., Bermudezi Badia, S. and Verschure, P., A model for the neuronal substrate of dead reckoning and memory in arthropods: a comparative computational and behavioral study, Theory in Biosciences 127 (2008) 12.
3. Bischof, N., Die regulation der sozialen distanz - von der feldtheorie zur systemtheorie, Zeitschrift fr Psychologie 201 (1993) 5-43.
4. Blanchard, R. J. and Blanchard, C. D., Antipredator defensive behaviors in a visible burrow system, Journal of Comparative Psychology 103 (1989) 70-82.
5. Braitenberg, V., Vehicles, Experiments in Synthetic Psychology (Bradford Book, 1984).
6. Brooks, R. A., Intelligence without representation, Artificial Intelligence (1991) 139-159.
7. Cannon, W., The Wisdom of the Body (Norton New York, 1932).
8. Di Paolo, E. A., Organismically-inspired robotics: homeostatic adaptation and natural teleology beyond the closed sensorimotor loop, in Dynamical Systems Approach to Embodiment and Sociality, (eds.), Murase, K. and Asakura, T., Advanced Knowledge International (2003), pp. 19-42.
9. Doya, K. and Uchibe, E., The cyber rodent project: Exploration of adaptive mechanisms for self-preservation and self-reproduction, Adaptive Behavior 13 (2005) 149-160.
10. Drai, D., Benjamini, Y. and Golani, I., Statistical discrimination of natural modes of motion in rat exploratory behavior, Journal of Neuroscience Methods 96 (2000) 119-131.
11. Dvorkin, A., Benjamini, Y. and Golani, I., Mouse cognition-related behavior in the open-field: emergence of places of attraction, PLoS Comput Biol 4 (2008) e1000027.
12. Guanella, A. and Verschure, P., Prediction of the position of an animal based on populations of grid and place cells: a comparative simulation study, Journal of Integrative Neuroscience 6 (2007) 433.
13. Hull, C., Principles of Behavior (New York: Appleton-Century-Crofts, 1943).
14. Iizuka, H. and Di Paolo, E. A., Extended homeostatic adaptation: improving the link between internal and behavioural stability (2008).
15. Johnson, A. and Redish, D., Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point, Journal of Neuroscience 27 (2007) 12176-12189.
16. Khatib, O., Real-time obstacle avoidance for manipulators and mobile robots, International Journal of Robotics Research 5 (1986) 90-98.
17. Koene, R. A. and Hasselmo, M. E., Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1, Neural Networks 21 (2008) 276-288.
18. Krichmar, J. L., The neuromodulatory system: a framework for survival and adaptive behavior in a challenging world, Adaptive Behavior 16 (2008) 385-399.
19. Marcos, E., Sanchez-Fibla, M. and Verschure, P., The complementary roles of allostatic and contextual control systems in foraging tasks, in Simulating Animal Behavior (SAB) LNCS Springer-Verlag (In Press) (2010).
20. Maslow, A., A theory of human motivation, Psychological Review 50 (1943) 370-396
21. McEwena, B. S. and Wingfield, J. C., The concept of allostasis in biology and biomedicine, Hormones and Behavior 2 (2003) 2-15.
22. Meyer, J.-A., Guillot, A., Girard, B., Khamassi, M., Pirim, P. and Berthoz, A., The psikharpax project: towards building an artificial rat, Robotics and Autonomous Systems 50 (2005) 211-223.
23. Mondada, F., Bonani, M., Raemy, X., Pugh, J., Cianci, C., Klaptocz, A., Magnenat, S., Zufferey, J.-C., Floreano, D. and Martinoli, A., The e-puck, a robot designed for education in engineering (2009).
24. O'Keefe, J. and Dostrovsky, J., The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat, Brain Res. 34 (1971) 171-175.
25. Prescott, T. J., Gonzalez, F. M. M., Gurney, K., Humphries, M. D. and Redgrave, P., A robot model of the basal ganglia: Behavior and intrinsic processing, Neural Networks 19 (2006) 3161.
26. Redish, D., Beyond the Cognitive Map (MIT Press, 1999).
27. Sanchez-Fibla, M., Bernardet, U. and Verschure, P., Allostatic control for robot behaviour regulation: an extension to path planning, in IEEE International Conference on Intelligent Robots and Systems (IROS) (submitted) (2010).
28. Sheynikhovich, D., Chavarriaga, R., Strosslin, T., Arleo, A. and Gerstner, W., Is there a geometric module for spatial orientation? Insights from a rodent navigation model, Psychological Review 116 (2009) 540-566.
29. Simon, P., Dupuis, R. and Costentin, J., Thigmotaxis as an index of anxiety in mice. Influence of dopaminergic transmissions, Behavioural Brain Research 61 (1994) 59-64.
30. Stephens, D. W., Brown, J. S. and Ydenberg, R. C., Foraging: Behavior and Ecology (2007).
31. Sterling, P., Principles of allostasis: optimal design, predictive regulation, pathophysiology and rational therapeutics, Allostasis, Homeostasis, and the Costs of Physiological Adaptation (2004) 17-64.
32. Tamosiunaite, M., Ainge, J., Kulvicius, T., Porr, B., Dudchenko, P. and Worgotter, F., Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning, Journal of Comp. Neuro. 25 (2008) 562-582.
33. Tobin, H. and Logue, A. W., Self-control across species (columba livia, homo sapiens, and rattus norvegicus), Journal of Comparative Psychology 108 (1994) 126-133.
34. Verschure, P. F., Voegtlin, T. and Douglas, R. J., Environmentally mediated synergy between perception and behaviour in mobile robots, Nature 425 (2003) 620-624.
35. Verschure, P. F. M. J. and Althaus, P., A real-world rational agent: Unifying old and new AI, Cognitive Science 27 (2003) 561-590.
36. Verschure, P. F. M. J. and Coolen, A. C. C., Adaptive fields: Distributed representations of classically conditioned associations, Network 2 (1991) 189-206.
37. Wallraff, G., Avian Navigation: Pigeon Homing as a Paradigm (Springer-Verlag, 2005).
38. Watts, A. G., Motivation, in Handbook of Brain Theory and Neural Networks (MIT Press, 2003), pp. 680-683.
39. Wiener, N., Cybernetics or Control and Communication in the Animal and the Machine (The MIT Press, 1965).
40. Wyss, R., Konig, P. and Verschure, P. F. M. J., A model of the ventral visual system based on temporal stability and local memory, PLoS Bio 4 (2006) e120.