Robot Control: From Silicon Circuitry to Cells

1. J. Y. Lettvin, H. R. Maturana, W. S. McCulloch, and W. H. Pitts. What the frog’s

eye tells the frog’s brain. Proc. Inst. Radio Engr., 47:1940–1951, 1959. Reprinted in

The Mind: Biological Approaches to its Functions, W. C. Corning and M. Balaban,

(Eds.), 1968, pp. 233–258.

2. V. Braitenb erg. Experiments in Synthetic Psychology. MIT Press, Cambridge, MA,

1984.

3. B. Webb. View from the b oundary. Biological Bul letin, 200(2):184–189, 2001.

4. B. Hasslacher and M. W. Tilden. Living machines. Robotics and Autonomous

Systems, pages 143–169, 1995.

5. R. D. Beer. Intel ligence as Adaptive Behavior, an Experiment in Computational

Neuroethology. Academic Press, 1990.

6. H. J. Chiel and R. D. Beer. The brain has a b ody: adaptive b ehavior emerges from

interaction of nervous system, b ody and environment. Trends In Neuroscience,

12:553–557, 1997.

7. H. R. Maturana and F. J. Varela. Autopoiesis and Cognition: The Realization of

the Living, volume 42 of Boston Studies in the Philosophy of Science. D. Reidel

Publishing, Dordecht, Holland, 1980.

8. P. Cariani. Some epistemological implications of devices which construct their own

sensors and effectors. In F. J. Varela and P. Bourgine, editors, Toward a Practice of

Autonomous Systems: Proceedings of the First European Conference on Artificial

Life, pages 484–493, Cambridge, MA, 1992. MIT Press.

9. J. K. Chapin, K. A. Moxon, R. S. Markowitz, and M. A. L. Nicolelis. Real-time

control of a rob ot arm using simultaneously recorded neurons in the motor cortex.

Nature neuroscience, 2(7):664–670, 1999.

10. T. B. DeMarse, D. A. Wagenaar, A. W. Blau, and S. M. Potter. The neurally

controlled animat: Biological brains acting with simulated b odies. Autonomous

Robots, 11:305–310, 2001.

11. K. Rinaldo. Augmented fish reality. ARS Electronica Center, Linz, 2004. See also:

http://accad.osu.edu/~rinaldo/works/augmented/.

12. J. Adler and W.-W. Tso. “Decision”-making in bacteria: Chemotactic resp onse of

Escherichia coli to conflicting stimuli. Science, 184:1292–1294, 1974

13. K.-P. Zauner. Molecular information technology. Critical Reviews in Solid State

and Material Sciences, 30(1):33–69, 2005.

14. J. Rothstein. Information, measurement, and quantum mechanics. Reprinted in:

H. S. Leff and A. F. Rex (Eds.), Maxwell’s Demon—Entropy, Information, Com-

puting, pp. 104–108, Bristol: Adam Hilger, 1990., 1951.

15. A. I. Skoultchi and H. J. Morowitz. Information storage and survival of biological

systems at temp eratures near absolute zero. Yale J. Biol. Med., 37:158–163, 1964.

16. H. Kondo, M. Yamamoto, and M. Watanab e. Reversible intracellular displacement

of the cytoskeletal protein and organelles by ultracentrifugation of the sympathetic

ganglion. J. Submicrosc. Cytol. Pathol., 24:241–250, 1992.

17. Michael Conrad. The price of programmability. The Universal Turing Machine:

A Half-Century Survey, pages 285–307, 1988.

18. W. Korohoda, L. Rakoczy, and T. Walczak. On the control mechanism of pro-

toplasmic streamings in the plasmodia of Myxomycetes. Acta Protozoologica,

VI I(29):363–373, 1970.

19. T. Ueda, K. Matsumoto, and Y. Kobatake. Spatial and temp oral organization

of intracellular adenine nucleotides and cyclic nucleotides in relation to rhythmic

motility in physarum plasmodium. Experimental Cel l Research, 162(2):486–494,

February 1986.

20. A. C. H. Durham and E. B. Ridgway. Control of chemotaxis in physarum poly-

cephalum. The Journal of Cel l Biology, 69:218–223, 1976.

21. H. Miura and M. Yano. A model of organization of size invariant p ositional informa-

tion in taxis of physarum plasmodium. Progress of Theoretical Physics, 100(2):235–

251, 1998.

22. Y. Miyake, S. Tabata, H. Murakami, M. Yano, and H. Shimizu. Environmental-

dep endent self-organization of p ositional information field in chemotaxis of

physarum plasmodium. Journal of Theoretical Biology, 178:341–353, 1996.

23. T. Nakagaki, H. Yamada, and A. Toth. Intelligence: Maze-solving by an amoeb oid

organism. Nature, 407:470, 2000.

24. T. Nakagaki, R. Kobayashi, Y. Nishiura, and T. Ueda. Obtaining multiple separate

food sources: b ehavioural intelligence in the physarum plasmodium. R. Soc. Proc.:

Biol. Sci., 271(1554):2305–2310, 2004.

25. M. Aono. Personal communication, 2004.

26. S. Tsuda, M. Aono, and Y.-P. Gunji. Robust and emergent physarum logical-

computing. BioSystems, 73:45–55, 2004.

27. K.-P. Zauner. From prescriptive programming of solid-state devices to orchestrated

self-organisation of informed matter. In J.-P. Banˆtre, J.-L. Giavitto, P. Fradet,

a

and O. Michel, editors, Proceedings of UPP 2004, Unconventional Programming

Paradigms, 15–17 September, Le Mont Saint-Michel, France, volume 3566 of LNCS,

pages 47–55. Springer, 2005.

28. A. Takamtsu, T. Fujii, and I. Endo. Control of interaction strength in a network of

the true slime mold by a microfabricated structure. BioSystems, 55:33–38, 2000.

29. S. Nomura. Symbolization of an object and its freedom in biological systems. PhD

thesis, Kob e University, 2001.

30. T. Ueda, Y. Mori, T. Nakagaki, and Y. Kobatake. Action sp ectra for sup eroxide

generation and UV and visible light photoavoidance in plasmodia of physarum

polycephalum. Photochemistry and Photobiology, 48:705–709, 1988.

31. M. Conrad. Emergent computation through self-assembly. Nanobiology, 2:5–30,

1993.

32. Y.-P. Gunji, T. Takahashi, and M. Aono. Dynamical infomorphism: form of endo-

p ersp ective. Chaos, Solitons and Fractals, 22:1077–1101, 2004