Abstract
Starting from the situated and embodied perspective on the study of cognition as a source of inspiration, this paper programmatically outlines a path towards an experimental exploration of the role of the body in a minimal anticipatory cognitive architecture. Cognition is here conceived and synthetically analyzed as a broadly extended and distributed dynamic process emerging from the interplay between a body, a nervous system and their environment. Firstly, we show how a non-neural internal state, crucially characterized by slowly changing dynamics, can modulate the activity of a simple neurocontroller. The result, emergent from the use of a standard evolutionary robotic simulation, is a self-organized, dynamic action selection mechanism, effectively operating in a context dependent way. Secondly, we show how these characteristics can be exploited by a novel minimalist anticipatory cognitive architecture. Rather than a direct causal connection between the anticipation process and the selection of the appropriate behavior, it implements a model for dynamic anticipation that operates via bodily mediation (bodily-anticipation hypothesis). This allows the system to swiftly scale up to more complex tasks never experienced before, achieving flexible and robust behavior with minimal adaptive cost.
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Varela, F.J., Thompson, E.T., Rosch, E.: The Embodied Mind: Cognitive Science and Human Experience. MIT Press, Cambridge (1992)
Thelen, E., Smith, L.B.: A Dynamic Systems Approach to the Development of Cognition and Action. MIT Press, Cambridge (1996)
Clark, A.: Being There: Putting Brain, Body, and World Together Again. MIT Press, Cambridge (1997)
Chrisley, R., Ziemke, T.: Embodiment. In: Encyclopedia of Cognitive Science, pp. 1102–1108. McMillan, London (2002)
Ziemke, T., Zlatev, J., Frank, R.M. (eds.): Body, Language and Mind: Embodiment, vol. 1. Mouton de Gruyter, Berlin (2007)
Nolfi, S.: Power and limits of reactive agents. Neurocomputing 42(1-4), 119–145 (2002)
Wiener, N.: Cybernetics, or Control and Communication in the Animal and the Machine. MIT Press, Cambridge (1965)
Ashby, W.R.: Design for a Brain: The Origin of Adaptive Behavior. Chapman ‘&’ Hall, London (1952)
Köhler, W.: Gestalt Psychology. Liveright (1947)
Gibson, J.J.: The Ecological Approach To Visual Perception. Houghton Mifflin (1979)
Van Gelder, T.: The dynamical hypothesis in cognitive science. Behavioral and Brain Sciences 21, 615–628 (2000)
Kelso, J.A.S.: Dynamic Patterns: The Self-organization of Brain and Behavior. MIT Press, Cambridge (1995)
Beer, R.D.: Parameter space structure of continuous-time recurrent neural networks neural networks. Neural Computation 18, 3009–3051 (2006)
Beer, R.D.: Dynamical approaches to cognitive science. Trends in Cognitive Sciences 4(3), 91–99 (2000)
Chiel, H., Beer, R.D.: The brain has a body: Adaptive behavior emerges from interactions of nervous system, body and environment. Trends in Neurosciences 20(12), 553–557 (1997)
Suzuki, M., Floreano, D.: Enactive robot vision. Adaptive Behavior 16, 122–128 (2008)
Parisi, D.: Internal robotics. Connection Science 16(4), 325–338 (2004)
Ziemke, T.: On the role of emotion in biological and robotic autonomy. BioSystems 91, 401–408 (2008)
Ziemke, T., Lowe, R.: On the role of emotion in embodied cognitive architectures: From organisms to robots. In: Cognitive computation (2009) (accepted)
Damasio, A.: The Feeling of What Happens: Body and Emotion in the Making of Consciousness. Harvest Books (2000)
Damasio, A.: Looking for Spinoza: Joy, Sorrow, and the Feeling Brain. Harcourt (2003)
Montebelli, A., Herrera, C., Ziemke, T.: On cognition as dynamical coupling: An analysis of behavioral attractor dynamics. Adaptive Behavior 16(2-3), 182–195 (2008)
Montebelli, A., Herrera, C., Ziemke, T.: An analysis of behavioral attractor dynamics. In: Almeida e Costa, F. (ed.) Advances in Artificial Life: Proceedings of the 9th European Conference on Artificial Life, pp. 213–222. Springer, Berlin (2007)
Strogatz, S.H.: Nonlinear Dynamics and Chaos. Westview Press, Cambridge (1994)
Rosen, R.: Anticipatory Systems. Pergamon Press, Oxford (1985)
Butz, M.V., Sigaud, O., Gérard, P.: Anticipatory behavior: Exploiting knowledge about the future to improve current behavior. In: Butz, M.V., Sigaud, O., Gérard, P. (eds.) Anticipatory Behavior in Adaptive Learning Systems. LNCS, vol. 2684, pp. 1–10. Springer, Heidelberg (2003)
Butz, M.V., Pezzulo, G.: Benefits of anticipation in cognitive agents. In: Pezzulo, G., Butz, M.V., Castelfranchi, C., Falcone, R. (eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, pp. 45–62. Springer, Heidelberg (2008)
Grush, R.: The emulation theory of representation: motor control, imagery, and perception. Behavioral and Brain Sciences 27, 377–442 (2004)
Barsalou, L.W.: Perceptual symbol systems. Behavioral and Brain Sciences 22, 577–660 (1999)
Barsalou, L.W.: Social embodiment. In: Ross, B.H. (ed.) The Psychology of Learning and Motivation, pp. 43–92. Academic Press, London (2003)
Butz, M.V.: How and why the brain lays the foundations for a conscious self. Constructivist Foundations 4(1), 1–42 (2008)
Parisi, D.: Mente: i nuovi modelli della Vita Artificiale. Il Mulino, Bologna (1999)
Tani, J., Nolfi, S.: Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks 12(7-8), 1131–1141 (1999)
Ito, M., Noda, K., Hoshino, Y., Tani, J.: Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model. Neural Networks 19(3), 323–337 (2006)
Ziemke, T., Hesslow, G., Jirenhed, D.A.: Internal simulation of perception: a minimal neuro-robotic model. Neurocomputing 68, 85–104 (2005)
Schoenbaum, G., Chiba, A.A., Gallagher, M.: Orbitofrontal cortex and basolateral amygdala encode expected outcomes during learning. Nature Neuroscience 1(2), 155–159 (1998)
Haykin, S.: Neural networks: a comprehensive foundation. Prentice Hall, Englewood Cliffs (1999)
Jacobs, R.A., Jordan, M.I., Nowlan, S.J., Hinton, Geoffrey, E.: Adaptive mixtures of local experts. Neural Computation 3(1), 79–87 (1991)
Morse, A., Lowe, R., Ziemke, T.: Towards an enactive cognitive architecture. In: Proceedings of the 2008 International Conference on Cognitive Systems (2008)
Kiebel, S.J., Daunizeau, J., Friston, K.J.: A hierarchy of time-scales and the brain. PLoS Computational Biology 4(11) (2008)
Fusi, S., Asaad, W.F., Miller, E.K., Wang, X.J.: A neural circuit model of flexible sensorimotor mapping: Learning and forgetting on multiple timescales. Neuron 54(2), 319–333 (2007)
Yamashita, Y., Tani, J.: Emergence of functional hierarchy in a multiple timescale neural network model: A humanoid robot experiment. PLoS Computational Biology 4(11) (2008)
Paine, R.W., Tani, J.: How hierarchical control self-organizes in artificial adaptive systems. Adaptive Behavior 13(3), 211–225 (2005)
Maniadakis, M., Tani, J.: Dynamical systems account for meta-level cognition. In: Asada, M., Hallam, J.C.T., Meyer, J.-A., Tani, J. (eds.) SAB 2008. LNCS, vol. 5040, pp. 311–320. Springer, Heidelberg (2008)
Jaeger, H., Haas, H.: Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science 304(5667), 78–80 (2004)
Maass, W., Natschlager, T., Markram, H.: Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation 14(11), 2531–2560 (2002)
Melhuish, C., Ieropoulos, I., Greenman, J., Horsfield, I.: Energetically autonomous robots: food for thought. Autonomous Robots 21, 187–198 (2006)
Tani, J., Ito, M.: Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment. IEEE Trans. on Systems, Man, and Cybernetics. Part B 33(4), 481–488 (2003)
Tani, J.: Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. Neural Networks 16, 11–23 (2003)
Hesslow, G.: Conscious thought as simulation of behaviour and perception. Trends in Cognitive Sciences 6(6), 242–247 (2002)
Bechara, A.: The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and Cognition (55), 30–40 (2004)
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Montebelli, A., Lowe, R., Ziemke, T. (2009). The Cognitive Body: From Dynamic Modulation to Anticipation. In: Pezzulo, G., Butz, M.V., Sigaud, O., Baldassarre, G. (eds) Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2008. Lecture Notes in Computer Science(), vol 5499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02565-5_8
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DOI: https://doi.org/10.1007/978-3-642-02565-5_8
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