Sensory - motor coordination: The metaphor and beyond

Abstract Any agent in the real world has to be able to make distinctions between different types of objects, i.e. it must have the competence of categorization. In mobile agents, there is a large variation in proximal sensory stimulation originating from the same object. Therefore, categorization behavior is hard to achieve, and the successes in the past in solving this problem have been limited. In this paper it is proposed that the problem of categorization in the real world is significantly simplified if it is viewed as one of sensory—motor coordination, rather than one of information processing happening “on the input side”. A series of models are presented to illustrate the approach. It is concluded that we should consider replacing the metaphor of information processing for intelligent systems by the one of sensory-motor coordination. However, the principle of sensory-motor coordination is more than a metaphor. It offers concrete mechanisms for putting agents to work in the real world. These ideas are illustrated with a series of experiments.

[1]  J. Kruschke,et al.  ALCOVE: an exemplar-based connectionist model of category learning. , 1992, Psychological review.

[2]  Bernd Fritzke,et al.  Growing cell structures--A self-organizing network for unsupervised and supervised learning , 1994, Neural Networks.

[3]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[4]  G. Bower,et al.  From conditioning to category learning: an adaptive network model. , 1988 .

[5]  R. Douglas,et al.  The neurobiology of primate vision. , 1993, Bailliere's clinical neurology.

[6]  C. Scheier,et al.  Extended Braitenberg Architectures , 1995 .

[7]  H. Ruff,et al.  Infants' manipulative exploration of objects: Effects of age and object characteristics. , 1984 .

[8]  M Kuperstein,et al.  Neural model of adaptive hand-eye coordination for single postures. , 1988, Science.

[9]  Linda B. Smith,et al.  A dynamic systems approach to development: Applications. , 1993 .

[10]  David R. Shanks,et al.  CATEGORIZATION BY A CONNECTIONIST NETWORK , 1991 .

[11]  L. Barsalou Cognitive Psychology: An Overview for Cognitive Scientists , 1992 .

[12]  Pattie Maes,et al.  Categorization in a real-world agent using haptic exploration and active perception , 1996 .

[13]  J. Dewey,et al.  The Philosophy of John Dewey , 1928 .

[14]  David R. Shanks,et al.  CATEGORIZATION BY A CONNECTIONIST NETWORK , 1991 .

[15]  E. Bushnell,et al.  Motor development and the mind: the potential role of motor abilities as a determinant of aspects of perceptual development. , 1993, Child development.

[16]  George Lakoff,et al.  Women, Fire, and Dangerous Things , 1987 .

[17]  C. Palmer,et al.  The discriminating nature of infants' exploratory actions , 1989 .

[18]  Klaus Pawelzik,et al.  Quantifying the neighborhood preservation of self-organizing feature maps , 1992, IEEE Trans. Neural Networks.

[19]  G. Lakoff,et al.  Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .

[20]  Christison The Reflex Arc Concept In Psychology , 1897 .

[21]  Philippe Gaussier,et al.  PerAc: A neural architecture to control artificial animals , 1995, Robotics Auton. Syst..

[22]  Rolf Pfeifer,et al.  Classification as Sensory-Motor Coordination: A Case Study on Autonomous Agents , 1995, ECAL.

[23]  Christian Scheier Incremental category learning in a real world artifact using growing dynamic cell structures , 1996, ESANN.

[24]  Thomas Martinetz,et al.  Topology representing networks , 1994, Neural Networks.

[25]  Christian Scheier,et al.  Categorization in a Real-World Agent Using Haptic Exploration and Active Perception , 1996 .

[26]  D. Lewkowicz,et al.  A dynamic systems approach to the development of cognition and action. , 2007, Journal of cognitive neuroscience.

[27]  M. Goodale,et al.  The visual brain in action , 1995 .

[28]  D. Massaro,et al.  Models of integration given multiple sources of information. , 1990, Psychological review.

[29]  Dana H. Ballard,et al.  Animate Vision , 1991, Artif. Intell..

[30]  G. Edelman Neural Darwinism: The Theory Of Neuronal Group Selection , 1989 .

[31]  Stephen Grossberg,et al.  Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..

[32]  Massimo Tistarelli,et al.  Active/space-variant object recognition , 1995, Image Vis. Comput..