This article investigates the phenomenological aspects of selves in relation to autonomous agents. Through a review of a series of neuro-robotics experiments conducted by the author’s group, we elucidate three different aspects of selves, namely, minimal selves, social selves and self-referential selves. Upon integrative discussions of these selves, it is suggested that genuine constructs of “authentic” selves may appear with criticality, which is self-organized in the iterative interplay between regression of past experience and lookahead prediction of future outcomes. It is concluded that genuine autonomy of agents likely originates from genuine autonomy of authentic selves.
Arbib, M. ( 1981). Perceptual structures and distributed motor control . In Handbook of physiology: The nervous system, II. Motor control. Brooks, VB. (Ed.). (pp. 1448-1480). Cambridge, MA: MIT Press.
2.
Auvray, M., Lenaya, C., & Stewart, J. ( 2009). Perceptual interactions in a minimalist virtual environment . New Ideas in Psychology, 27, 32-47.
3.
Bak, P. ( 1996). How nature works: The science of self-organized criticality . Copernicus Books. New York, NY, USA.
4.
Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: an explanation of the 1/f noise. Physical Review Letters, 59, 381-384.
5.
Barandiaran, X.E., Di Paolo, E., & Rohde, M. ( 2009). Defining agency: individuality, normativity, asymmetry and spatiotemporality in action. Adaptive Behavior, 17(5), 367-386.
6.
Beebe, B., & Lachmann, F. ( 1988). Infant observation: The contribution of mother-infant mutual influence to the origins of self- and object-representations. Psychoanalytic Psychology, 5, 305-337.
7.
Beer, R. ( 1995). A dynamical systems perspective on agent-environment interaction. Artificial Intelligence, 72(1), 173-215.
8.
Blanke, O., & Metzinger, T. ( 2009). Full-body illusions and minimal phenomenal selfhood . Trends in Cognitive Sciences, 13, 7-13.
9.
Brooks, R. ( 1991). Intelligence without representation. Artificial Intelligence, 47, 139-159.
10.
Butz, M. ( 2008). How and why the brain lays the foundations for a conscious self. Constructivist Foundations, 4(1), 1- 14.
Gallagher, S. ( 2000). Philosophical conceptions of the self: implications for cognitive science. Trends in Cognitive Sciences, 4(1), 14-21.
13.
Haruno, M., Wolpert, D., & Kawato, M. ( 2003). Hierarchical mosaic for movement generation. International Congress Series, 1250, 575-590.
14.
Heidegger, M. ( 1962). Being and time. New York: Harper and Row.
15.
Holland, J., & Reitman, J. ( 1978). Cognitive systems based on adaptive algorithms . In D. Watermann & F. Hayes-Roth (Eds.), Pattern directed inference systems . New York: Academic Press , 313-329.
16.
Holland, O., & Goodman, R. ( 2003). Robots with internal models a route to machine consciousness ? Journal of Consciousness Studies, 10, 77-109.
17.
Hopfield, J., & Tank, D. ( 1985). Neural computation of decision in optimization problems . Biological Cybernetics, 52, 141-152.
18.
Horswill, I. ( 1993). Polly: A vision-based artificial agent. In Proceedings of AAAI-93 (pp. 824-829). Cambridge, MA: MIT Press.
19.
Hume, D. ( 1975). A treatise of human nature. Clarendon Press. Oxford, UK.
20.
Husserl, E. ( 1964). The phenomenology of internal time consciousness (J. S. Churchill, Trans.). Bloomington, IN: Indiana University Press.
21.
Iizuka, H., & Di Paolo, E. ( 2007). Minimal agency detection of embodied agents. Frenando Almeida e Costa (Ed.). In Proceedings of ECAL2007. LNCS, (Vol. 4648, pp. 485-494). Heidelberg: Springer.
22.
Iizuka, H., & Ikegami, T. ( 2004). Adaptability and diversity in simulated turn-taking behavior . Artificial Life, 10(4), 361- 378.
23.
Ito, M., & Tani, J. ( 2004). On-line imitative interaction with a humanoid robot using a dynamic neural network model of a mirror system. Adaptive Behavior, 12(2), 93-114.
24.
James, W. ( 1890). The principles of psychology. Dover Publ. (reprinted 1950). New York, NY, USA.
25.
Jordan, M. ( 1986). Attractor dynamics and parallelism in a connectionist sequential machine. In Proceedings of the 8th Annual Conference of Cognitive Science Society (pp. 531- 546). Hillsdale, NJ: Erlbaum.
26.
Kohonen, T. ( 2001). Self-organizing maps. Berlin : Springer.
27.
Maes, P. ( 1991). Designing autonomous agents: Theory and practice from biology to engineering and back. Cambridge, MA: MIT Press.
28.
Martius, G., Nolfi, S., & Herrmann, J. ( 2008). Emergence of interaction among adaptive agents . Minoru Asada, John Hallam , Jean-Arcady Meyer and Jun Tani (Eds.). In Proceedings of SAB2008. LNCS (Vol. 5040, pp. 457-466). Berlin: Springer.
29.
Maturana, H., & Varela, F. ( 1980). Autopoiesis and cognition: the realization of the living . Boston: D. Riedel Publishing.
30.
Nolfi, S., & Floreano, D. ( 2000). Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. Cambridge, MA: MIT Press/Bradford Books.
31.
Ogai, Y., & Ikegami, T. ( 2008). Microslip as a simulated artificial mind. Adaptive Behavior, 16(2-3), 129-147.
32.
Paine, R., & Tani, J. ( 2005). How hierarchical control self-organizes in artificial adaptive systems. Adaptive Behavior, 13(3), 211-225.
33.
Reed, E., & Schoenherr, D. (1992). The neuropathology of everyday life: On the nature and significance of microslips in everyday activities . Unpublished manuscript.
34.
Rizzolatti, G., Fadiga, L., Galless, V., & Fogassi, L. ( 1996). Premotor cortex and the recognition of motor actions . Cognitive Brain Research, 3, 131-141.
35.
Rumelhart, D., Hinton, G., & Williams, R. ( 1986). Learning internal representations by error propagation . In D. Rumelhart & J. McClelland (Eds.), Parallel distributed processing (pp. 318-362). Cambridge, MA: MIT Press.
36.
Schoner, S., & Kelso, S. ( 1988). Dynamic pattern generation in behavioral and neural systems . Science, 239, 1513-1519.
37.
Strawson, G. ( 1997). The self. Journal of Consciousness Studies , 4(5-6), 405-428.
38.
Tani, J. ( 1996). Model-based learning for mobile robot navigation from the dynamical systems perspective. IEEE Transactions on SMC (B), 26(3), 421-436.
39.
Tani, J. ( 1998). An interpretation of the "self" from the dynamical systems perspective: a constructivist approach. Journal of Consciousness Studies, 5(5-6), 516-42.
40.
Tani, J. ( 2003). Learning to generate articulated behavior through the bottom-up and the top-down interaction process. Neural Networks , 16, 11-23.
41.
Tani, J. ( 2004). The dynamical systems accounts for phenomenology of immanent time: An interpretation by revisiting a robotics synthetic study . Journal of Consciousness Studies, 11(9), 5-24.
42.
Tani, J., Ito, M., & Sugita, Y. ( 2004). Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB . Neural Networks, 17, 1273-1289.
43.
Tani, J., & Nolfi, S. ( 1999). Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks, 12, 1131-1141.
44.
Trevarthen, C. ( 1993). The self born in intersubjectivity: The psychology of an infant communicating. Cambridge, UK: Cambridge University Press.
45.
Turing, A. ( 1950). Computing machinery and intelligence. Mind LIX, 236, 433-460.
46.
Varela, F. ( 1996). Neurophenomenology: a methodological remedy for the hard problem. Journal of Conscious Studies, 3(4), 330-350.
47.
Varela, F. ( 1999). Present-time consciousness. Journal of Consciousness Studies, 6(2-3), 111-140.
48.
Wolpert, D., Doya, K., & Kawato, M. ( 2003). A unifying computational framework for motor control and social interaction. Philosophical Transactions of the Royal Society B, 358(1431), 593-602.
49.
Yamashita, Y., & Tani, J. ( 2008). Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. PLoS Computational Biology, 4, e1000220.
50.
Ziemke, T., Jirenhed, D., & Hesslow, G. ( 2005). Internal simulation of perception: Minimal neurorobotic model. Neuro-computing, 68, 85-104.
