Toward spinozist robotics: Exploring the minimal dynamics of behavioral preference

Adaptive Behavior

Volumn 15, Issue 4, 2007, Pages 359-376

  Iizuka, Hiroyuki ^a,b   Di Paolo, Ezequiel A ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b FUTURE UNIVERSITY HAKODATE   (Japan)

Author keywords

Behavioral preference; Dynamical systems approach to cognition; Evolutionary robotics; Homeostatic adaptation

Indexed keywords

EID: 35548953222     PISSN: 10597123     EISSN: 17412633     Source Type: Journal    
DOI: 10.1177/1059712307084687     Document Type: Article

References (37)

1. Ashby, W.R. (1960). Design for a brain: The origin of adaptive behaviour (2 nd ed.). London: Chapman and Hall.
2. Beer, R.D. (1990). Intelligence as adaptive behavior: An experiment in computational neuroscience. San Diego: Academic Press.
3. Beer, R.D. (1996). Toward the evolution of dynamical neural networks for minimally cognitive behavior. In P. Maes, M. J. Mataric, J-A. Meyer, J. B. Pollack, & S. W. Wilson (Eds.), From Animals to Animats 4: Proceedings of the 4th International Conference on Simulation of Adaptive Behavior (pp. 421-429). Cambridge, MA: MIT Press.
4. Beer, R.D. (1999). Arches and stones in cognitive architecture. Adaptive Behavior, 11, 299 - 305.
5. Beer, R. (2003). The dynamics of active categorical perception in an evolved model agent. Adaptive Behavior, 11, 209 - 243.
6. Bennett, J. (1984). A study of Spinoza's Ethics. Indianapolis: Hackett Publishing.
7. Bennett, J. (1992). Spinoza and teleology: A reply to Curley. In E. Curley & P. F. Morean (Eds.), Spinoza, issues and directions (pp. 53 - 57). Leiden: E. J. Brill.
8. Bourgine, P., & Stewart, J. (2004). Autopoiesis and cognition. Artificial Life, 10, 327 - 346.
9. Breazeal (Ferrell), C. (1998). A motivational system for regulating human-robot interaction. In Proceedings of AAAI-98, Madison, WI (pp. 54-61).
10. Bryson, J. (2003). Action selection and individuation in agent based modelling. In D. L. Sallach & C. Macal (Eds.), The Proceedings of Agent 2003: Challenges of social simulation. Argonne: Argonne National Laboratory (pp. 317- 330).
11. Clark, A. (1997). Being there. Cambridge, MA: MIT Press.
12. Curley, E. (1990). On Bennett's Spinoza: The issue of teleology. In E. Curley & P. F. Morean (Eds.), Spinoza, issues and directions (pp. 39 - 52). Leiden: E. J. Brill.
13. Di Paolo, E.A. (2000). Homeostatic adaptation to inversion in the visual field and other sensorimotor disruptions. In J. Meyer, A. Berthoz, D. Floreano, H. Roitblat, & S. Wilson (Eds.), From Animals to Animats VI: Proceedings of the 6th International Conference on Simulation of Adaptive Behavior (pp. 440-449). Cambridge, MA: MIT Press.
14. Di Paolo, E.A. (2005). Autopoiesis, adaptivity, teleology, agency. Phenomenology and the Cognitive Sciences, 4, 429 - 452.
15. Goldstein, K. (1934 / 1995). The organism. New York: Zone Books.
16. Harvey, I., Di Paolo, E., Wood, R., Quinn, M., & Tuci, E.A. (2005). Evolutionary Robotics: A new scientific tool for studying cognition. Artificial Life, 11, 79 - 98.
17. Humphrys, M. (1997). Action selection methods using reinforcement learning. Unpublished doctoral dissertation, University of Cambridge, UK.
18. Ito, M., Noda, K., Hoshino, Y., & Tani, J. (2006). Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model. Neural Networks, 19, 323 - 337.
19. Jonas, H. (1966). The phenomenon of life: Towards a philosophical biology. Evanston: Northwestern University Press.
20. Juarrero, A. (1999). Dynamics in action: Intentional behavior as a complex system. Cambridge, MA: MIT Press.
21. Kelso, J.A.S. (1995). Dynamic patterns: The self-organization of brain and behavior. Cambridge, MA: MIT Press.
22. Matson, W. (1977). Death and destruction in Spinoza's ethics. Inquiry, 20, 403 - 417.
23. Maturana, H., & Varela, F. (1980). Autopoiesis and cognition: The realization of the living. Boston: Reidel.
24. Merleau-Ponty, M. (1962). Phenomenology of perception (Colin Smith, Trans.). London: Routledge & Kegan Paul.
25. Ogai, Y., & Ikegami, T. (forthcoming). Microslip as a simulated artificial mind.
26. Phattanasri, P., Chiel, H., & Beer, R. (n.d.) The dynamics of associative learning in evolved model circuits. Submitted for publication.
27. Piaget, J. (1954). The construction of reality in the child. New York: Basic Books.
28. Stewart, J. (1992). Life=cognition: The epistemological and ontological significance of artificial life. In P. Bourgine & F. Varela (Eds.), Toward a practice of autonomous systems: Proceedings of the First European Conference on Artificial Life (pp. 475-483). Cambridge, MA: MIT Press.
29. Thelen, E., Schoener, G., Scheier, C., & Smith, L. (2001). The dynamics of embodiment: A dynamic field theory of infant perseverative reaching. Behavioural and Brain Sciences, 24, 1 - 86.
30. Thelen, E., & Smith, L.B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: MIT Press.
31. Thompson, E., & Varela, F. (2001). Radical embodiment: Neural dynamics and conscious experience. Trends in Cognitive Science, 5, 418 - 425.
32. Varela, F., & Thompson, E. (2003). Neural synchrony and the unity of mind: A neurophenomenological perspective. In A. Cleeremans (Ed.), The unity of consciousness binding, integration, and dissociation (pp. 266 - 287). Oxford University Press.
33. Velsquez, J. (1997). Modeling emotions and other motivations in synthetic agents. In Proceedings of AAAI-97. Menlo Park: AAAI Press, pp. 10-15.
34. Weber, A., & Varela, F. (2002). Life after Kant: Natural purposes and the autopoietic foundations of biological individuality. Phenomenology and the Cognitive Sciences, 1, 97 - 125.
35. Wheeler, M. (1997). Cognition's coming home: The reunion of life and mind. In P. Husbands & I. Harvey (Eds.), Proceedings of the Fourth European Conference on Artificial Life (pp. 10-19). Cambridge, MA: MIT Press.
36. Williams, H. (2004). Homeostatic plasticity in recurrent neural networks. In S. Schaal, A. Ijspeert, A. Billard, S. Vijayakumar, & J. Meyer (Eds.), From Animals to Animats 8: Proceedings of the 8th International Conference on the Simulation of Adaptive Behavior (pp. 344-353). Cambridge MA: MIT Press.
37. Wood, R., & Di Paolo, E. (2007). New models for old questions: Evolutionary robotics and the "A not B" error. In F. Almeida e Costa, L. M. Rocha, E. Costa (Eds.) Proceedings of the 9th European Conference on Artificial life. Berlin: Springer-Verlag, pp. 1141-1150.