Category Formation in Self-Organizing Embodied Agents

Handbook of Categorization in Cognitive Science

Volumn , Issue , 2005, Pages 869-889

  Nolfi, Stefano ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33747824678     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044612-7/50094-9     Document Type: Chapter

References (19)

1. Beer R.D. A dynamical systems perspective on agent-environment interaction. Artificial Intelligence 1995, 72:173-215.
2. Beer R.D. The dynamics of active categorical perception in an evolved model agent. Adaptive Behavior 2003, 11:209-243.
3. Brooks R.A. Intelligence without reason. Proceedings of 12th International Joint Conference on Artificial Intelligence 1991, 569-595. Morgan Kaufmann, San Mateo, CA. J. Mylopoulos, R. Reiter (Eds.).
4. Cangelosi (this volume), "Grounding symbols in perceptual and sensorimotor categories: Connectionist and embodied approaches", in: H. Cohen and C. Lefebvre, eds., Handbook of Categorization in Cognitive Science (Elsevier, Amsterdam).
5. Clark A. Being There: Putting Brain, Body and World Together Again 1997, MIT Press, Cambridge, MA.
6. De Croon, G., S. Nolfi and E. O. Postma (in press), "Toward pro-active embodied agents: on the importance of neural mechanisms suitable to process information in time", in: D. Braha, A. Minai and Y. Bar-Yam, eds., Complex Engineering Systems (Perseus Books Groups Press, New York).
7. Maturana H.R., Varela F.J. Autopoiesis and Cognition: The Realization of the Living 1980, Reidel, Dordrecht.
8. Maturana H.R., Varela F.J. The Tree of Knowledge: The Biological Roots of Human Understanding 1988, New Science Library, Boston.
9. Mondada R., Franzi E., Ienne P. Mobile robot miniaturization: a tool for investigation in control algorithms. Proceedings of the 3rd International Symposium on Experimental Robots 1993, 501-513. Springer, Berlin. T.Y. Yoshikawa, F. Miyazaki (Eds.).
10. Nolfi S. Evolving robots able to self-localize in the environment: the importance of viewing cognition as the result of processes occurring at different time scales. Connection Science 2002, 3(14):231-244.
11. Nolfi S. Power and limits of reactive agents. Neurocomputing 2002, 49:119-145.
12. Nolfi S., Floreano D. Evolutionary Robotics: The Biology, Intelligence, and Technology of Selforganizing Machines 2000, MIT Press, Cambridge, MA.
13. Nolfi S., Marocco D. Evolving robots able to integrate sensory-motor information over time. Theory in Biosciences 2001, 120:287-310.
14. Nolfi S., Marocco D. Active perception: a sensorimotor account of object categorization. From Animals to Animats 7: Proceedings of the VII International Conference on Simulation of Adaptive Behavior 2002, 266-271. MIT Press, Cambridge, MA. B. Hallam, D. Floreano, J. Hallam, G. Hayes, J.-A. Meyer (Eds.).
15. Nolfi S., Tani J. Extracting regularities in space and time through a cascade of prediction networks: the case of a mobile robot navigating in a structured environment. Connection Science 1999, 11:129-152.
16. Pfeifer R., Scheier C. Understanding intelligence 1999, MIT Press, Cambridge, MA.
17. Scheier C., Pfeifer R., Kuniyoshi Y. Embedded neural networks: exploiting constraints. Neural Networks 1998, 11:1551-1596.
18. Slocum A.C., Downey D.C., Beer R.D. Further experiments in the evolution of minimally cognitive behavior: From perceiving affordances to selective attention. From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior 2000, 430-439. MIT Press, Cambridge, MA. J. Meyer, A. Berthoz, D. Floreano, H. Roitblat, S. Wilson (Eds.).
19. Thornton C. Separability is a learner's best friend. Proceedings of the Neural Computation and Psychology Workshop: Connectionist Representations 1997, Springer, London. J.A. Bullinaria, D.W. Glasspool, G. Houghton (Eds.).