Bootstrapping system defined by inconsistent relation between Boolean and non-Boolean algebra

Abstract We claim the using the formal biological system as a model evoking life must be much more unpredictable than Langton's guiding principle for artificial life, because any interaction is assumed to be computable in Langton's idea. In order to estimate nonlogical aspects of interactions which are not computable, we concentrate here on the relationship between a part and a whole. In other words, nonlogical aspects of interactions are articulated into the “prescription” described by a local observer and the “postscription” by a nonlocal observer. In this framework, we cannot deduce a prescribed local rule from a wholeness, and a local rule cannot be reduced from postscribed wholeness. We first show that such articulations with hierarchical structures result from descriptions involving measurements and/or observations. We propose a Bootstrapping system in which a local rule has two modes of descriptive manner: prescription, described in a logic a priori and a postscription, described in a logic a posteriori. We define cellular-automata fashioned model with a Bootstrapping system in adopting restricted Pseudo-Boolean algebra and Boolean algebra as a logic a priori and a posteriori, respectively, and show unpredictability underlying in the relation between a part and a whole, or deduction and reduction.

[1]  Christopher G. Langton,et al.  Life at the Edge of Chaos , 1992 .

[2]  Yukio-Pegio Gunji,et al.  Forms of life: unprogrammability constitutes the outside of a system and its autonomy , 1993 .

[3]  Y. Gunji The form of life. I. It is possible but not necessary , 1992 .

[4]  Jorge Soto-Andrade,et al.  Self-reference and fixed points: A discussion and an extension of Lawvere's Theorem , 1984 .

[5]  F. Varela Principles of biological autonomy , 1979 .

[6]  Michael Conrad,et al.  Neuron generator potentials evoked by intracellular injection of cyclic nucleotides and mechanical distension , 1985, Brain Research.

[7]  Marvin Minsky,et al.  Computation : finite and infinite machines , 2016 .

[8]  P. T. Saunders Theoretical Biology and Complexity : Robert Rosen, Editor, Academic Press, New York, 1985, 210 pp., $55.00 , 1986 .

[9]  J. Barham From enzymes to E = mc2: A reply to critics , 1992 .

[10]  S. Kauffman,et al.  Coevolution to the edge of chaos: coupled fitness landscapes, poised states, and coevolutionary avalanches. , 1991, Journal of theoretical biology.

[11]  G. C. Wraith Lectures on elementary topoi , 1975 .

[12]  Stuart R. Hameroff,et al.  Ultimate computing - biomolecular consciousness and nanotechnology , 1987 .

[13]  Koichiro Matsuno,et al.  Protobiology Physical Basis Of Biology , 1989 .

[14]  Cristopher Moore,et al.  Generalized shifts: unpredictability and undecidability in dynamical systems , 1991 .

[15]  E. Berlekamp,et al.  Winning Ways for Your Mathematical Plays , 1983 .

[16]  A S Perelson,et al.  Modeling adaptive biological systems. , 1989, Bio Systems.

[17]  S. Wolfram Statistical mechanics of cellular automata , 1983 .

[18]  Yukio-Pegio Gunji,et al.  Autonomic life as the proof of incompleteness and Lawvere's theorem of fixed point , 1994 .

[19]  H. Maturana,et al.  The Tree of Knowledge: The Biological Roots of Human Understanding , 2007 .

[20]  Bernardo A. Huberman,et al.  The ecology of computation , 1988, Digest of Papers. COMPCON Spring 89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage.

[21]  J. Barham A Poincarean approach to evolutionary epistemology , 1990 .

[22]  B. Goodwin,et al.  The origin of species: a structuralist approach , 1982 .

[23]  Norio Konno,et al.  Artificial life with autonomously emerging boundaries , 1991 .

[24]  Stephen Wolfram,et al.  Universality and complexity in cellular automata , 1983 .

[25]  Wentian Li Mutual information functions versus correlation functions , 1990 .

[26]  R. J. Bagley,et al.  Spontaneous emergence of a metabolism , 1990 .

[27]  Y P Gunji Global logic resulting from disequilibration process. , 1995, Bio Systems.

[28]  Alan Garfinkel,et al.  Self-organizing systems : the emergence of order , 1987 .

[29]  Schumacher,et al.  Non-Boolean derived logics for classical systems. , 1993, Physical review. A, Atomic, molecular, and optical physics.

[30]  Charles E. Taylor,et al.  Artificial Life II , 1991 .

[31]  Y Gunji,et al.  Time reverse automata patterns generated by Spencer-Brown's modulator: invertibility based on autopoiesis. , 1991, Bio Systems.