Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers

1. Angeline, P.J., Saunders, G.B., Pollack, J.B.: An Evolutionary Algorithm that Evolves Recurrent Neural Networks. IEEE Transactions on Neural Networks 5, 54–65 (1994)

   Article  Google Scholar 

2. Arbib, M.A., Erdi, P., Szentagothai, J.: Neural Organization: Structure, Function, and Dynamics. MIT Press, Cambridge (1998)

   Google Scholar 

3. Bajcsy, R.: Active Perception. In: Proceedings of the IEEE, vol. 76, pp. 996–1005 (1988)

   Google Scholar 

4. Ballad, D.H.: Animate vision. Artificial Intelligence 48, 57–86 (1991)

   Article  Google Scholar 

5. Beer, R.: A dynamical systems perspective on agent-environment interaction. Artificial Intelligence 72(1), 173–215 (1995)

   Article  Google Scholar 

6. Bickhard, M.H., Treveen, L.: Foundational Issues in Artificial Intelligence and Cognitive Science. Elsevier Scientific, Amsterdam (1995)

   Google Scholar 

7. Braitenberg, V.: Vehicles: Experiments in Synthetic Psychology. MIT Press, Cambridge (1984)

   Google Scholar 

8. Harnard, S.: The symbold grouding problem. Physica D 42, 335–346 (1990)

   Article  Google Scholar 

9. Hülse, M., Pasemann, F.: Dynamical neural schmitt trigger for robot control. In: Dorronsoro, J.R. (ed.) ICANN 2002. LNCS, vol. 2415, pp. 783–788. Springer, Heidelberg (2002)

   Chapter  Google Scholar 

10. Hülse, M.: Implementation of homing behavior based on a recurrent neuro-controller and macro-action maps, MPEG video 12.12 (2002), http://www.ais.fraunhofer.de/INDY/aml/X/MRChoming.mpeg

11. Krichmar, J.L., Edelman, G.M.: Machine Psychology: Autonomous Behavior, Perceptual Categorization, and Conditioning in a Brain-Based Device. Cerebral Cortex 12, 818–830 (2002)

    Article  Google Scholar 

12. Matarić, M.J.: Navigating With a Rat Brain: A Neurobiologically-Inspired Model for Robot Spatial Representation. In: Proceedings of the International Conference on Simulation of Adaptive Behavior: From Animals to Animats, vol. 3, pp. 282–290 (1994)

    Google Scholar 

13. Metta, G., Fitzpatrick, P.: Better Vision Through Manipulation. In: Prince, C.G., Demiris, Y., Marom, Y., Kozima, H., Balkenius, C. (eds.) Proceedings of the Second International Workshop on Epigenetic Robotics: Modeling Cognitive Developement in Robotic Systems. Lund University Cognitive Studies, vol. 94, pp. 97–104 (2002)

    Google Scholar 

14. Michel, O.: Khepera Simulator Package version 2.0: Freeware mobile robot simulator written at the University of Nice Sophia-Antipolis by Oliver Michel. Downloadable from the World Wide, Web at http://wwwi3s.unice.fr/~om/khep-sim.html

15. Möller, R.: Perception Through Anticipation - A Behavior-Based Approach to Visual Perception. In: Riegler, A., von Stein, A., Peschl, M. (eds.) Understanding Representation in the Cognitive Sciences. Plenum Press, New York (1999)

    Google Scholar 

16. Mondada, F., Franzi, E., Ienne, P.: Mobile robots miniaturization: a tool for investigation in Control Algorithms. In: Proceedings of ISER 1993, Kyoto (October 1993)

    Google Scholar 

17. Mondada, F., Floreano, D.: Evolution of neural control structures: Some experiments on mobile robots. Robotics and Autonomous Systems 16, 183–195 (1995)

    Article  Google Scholar 

18. Nolfi, S., Floreano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. MIT Press, Cambridge (2000)

    Google Scholar 

19. Nolfi, S., Marocco, D.: Active Perception: A Sensorimotor Account of Object Categorization. In: Proceedings of the 7th International Conference on Simulation of Adaptive Behavior: From Animals to Animats, vol. 7, pp. 266–271 (2002)

    Google Scholar 

20. Pasemann, F.: Dynamics of a single model neuron. International Journal of Bifurcation and Chaos 2, 271–278 (1993)

    Article  MathSciNet  Google Scholar 

21. Pasemann, F.: Neuromodules: A dynamical systems approach to brain modelling. In: Herrmann, H., Pöppel, E., Wolf, D. (eds.) Supercomputing in Brain Research - From Tomography to Neural Networks, pp. 331–347. World Scientific, Singapore (1995)

    Google Scholar 

22. Pasemann, F.: Characteristics of periodic attractors in neural ring networks. Neural Networks 8, 421–429 (1995)

    Article  Google Scholar 

23. Pasemann, F., Steinmetz, U., Hülse, M., Lara, B.: Robot control and the evolution of modular neurodynamics. Theory in Biosciences 120, 311–326 (2001)

    Google Scholar 

24. Tani, J.: An Interpretation of the “Self” From the Dynamical Systems Perspective: A Constructivist Approach. Journal of Consciousness Studies 5(5-6) (1998)

    Google Scholar 

25. Tani, J., Sugita, Y.: On the Dynamics of Robot Exploration Learning. In: Floreano, D., Mondada, F. (eds.) ECAL 1999. LNCS, vol. 1674, pp. 279–288. Springer, Heidelberg (1999)

    Google Scholar 

26. Wolpert, D.M., Ghahramani, Z., Flanagan, J.R.: Perspectives and problems in motor learning. Trends in Cognitive Science 5(11), 487–494 (2001)

    Article  Google Scholar 

Download references