Seminar: Representations of psychological, logical, or biological features by means of 'softness'

Dr. Koji Sawa
Senior High School, Japan Women's University
Kanagawa, Japan

Representations of psychological, logical, or biological features by means of "softness"

Department of Computer Science
Thursday, September 18, 2014, 2:00 p.m., Room EN-2022


Abstract

The Law of Self-Reflexion, which is schematized by V.A. Lefebvre, is a theory about subject's consciousness. The striking feature of this theory is a reflective introduction of the image of the self in the image of the self. Though Lefebvre represented this reduplication by simple algebraic equations, we transform that to difference equations. Thus, we can treat the feature dynamically. This work is an ongoing collaboration with Andrei Igamberdiev. In addition, I will discuss my former work and present the models about dynamical logic and cell motility. At the first face, the models describing subject's consciousness have no relation to the models describing cell motility. However, they are all considered as using "softness" of objects.

Research interests: Logic, reasoning, complex network

Academic Background:

Ph.D. - Kobe University
M.S. (Mathematics) - Waseda University, Tokyo
B.S. (Mathematics) - Waseda University, Tokyo

Publications (recent work):

Sawa, K., & Gunji, Y.-P. (2014). An emergence of formal logic induced by
an internal agent. BioSystems, 124, 39-45.
doi:10.1016/j.biosystems.2014.08.005

Sawa, K., Yokokawa, J., & Takahashi, T. (2013). Logical equivalence:
symmetric and asymmetric features. Symmetry: Culture and Science, 24.

Sawa, K., Balaz, I., & Shirakawa, T. (2012). Cell Motility Viewed as
Softness. International Journal of Artificial Life Research, 3(1), 1-9.
doi:10.4018/jalr.2012010101

Sawa, K., & Gunji, Y.-P. (2010). Dynamical Logic Driven by Classified
Inferences Including Abduction. In COMPUTING ANTICIPATORY SYSTEMS: CASYS
e09: Ninth International Conference on Computing Anticipatory Systems
(Vol. 1303, pp. 52-59). AIP Publishing. doi:10.1063/1.3527

Contact

Department of Computer Science

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Tel: (709) 864-2530

Fax: (709) 864-2552

becomestudent@mun.ca