EXPLAINING EMERGENCE: TOWARDS AN ONTOLOGY OF LEVELS

The vitalism/reductionism debate in the life sciences shows that the idea of emergence as something principally unexplainable will often be falsified by the development of science. Nevertheless, the concept of emergence keeps reappearing in various sciences, and cannot easily be dispensed with in an evolutionary world-view. We argue that what is needed is an ontological non reductionist theory of levels of reality which includes a concept of emergence, and which can support an evolutionary account of the origin of levels. Classical explication of emergence as “the creation of new properties” is discussed critically, and specific distinctions between various kinds of emergence is introduced for the purpose of developing an ontology of levels, framed in a materialistic and evolutionary perspective. A concept of the relation between levels as being inclusive is suggested, permitting the “local” existence of different ontologies. We identify, as a working hypothesis, four primary levels and explicate their nonhomomorphic interlevel relations. Explainability of emergence in relation to determinism and predictability is considered. Recent research in self-organizing non-linear dynamical systems represents a revival of the scientific study of emergence, and we argue that these recent developments can be seen as a step toward a final “devitalisation” of emergence.

[1]  J. Baldwin,et al.  Development and Evolution. , 1903 .

[2]  R. L. Burling Evolution and thermodynamics , 1953 .

[3]  M. Polanyi Life's irreducible structure. Live mechanisms and information in DNA are boundary conditions with a sequence of boundaries above them. , 1968, Science.

[4]  P. Anderson More is different. , 1972, Science.

[5]  René Thom,et al.  Structural stability and morphogenesis , 1977, Pattern Recognit..

[6]  H. Pattee DYNAMIC AND LINGUISTIC MODES OF COMPLEX SYSTEMS , 1977 .

[7]  Erich Jantsch,et al.  The self-organizing universe , 1980 .

[8]  Ilya Prigogine,et al.  Order out of chaos , 1984 .

[9]  Stephen Wolfram,et al.  Cellular automata as models of complexity , 1984, Nature.

[10]  M. Conrad Evolving hierarchical systems: Stanley N. Salthe, Columbia University Press, New York, 1985, 343pp. (US$32.50) , 1987 .

[11]  Jeffrey S. Wicken Evolution, thermodynamics and information , 1987 .

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

[13]  Donald O. Walter,et al.  Self-Organizing Systems , 1987, Life Science Monographs.

[14]  Howard H. Pattee,et al.  Simulations, Realizations, and Theories of Life , 1987, ALIFE.

[15]  Charles H. Bennett Logical depth and physical complexity , 1988 .

[16]  Heinz Pagels,et al.  The Dreams of Reason , 1988 .

[17]  Paul Davies,et al.  The cosmic blueprint , 1988 .

[18]  Rolf Herken,et al.  Retrieved July 19 2004 Universal Turing Machine , 2011 .

[19]  Rolf Landauer,et al.  A simple measure of complexity , 1988, Nature.

[20]  Michael Barr,et al.  The Emperor's New Mind , 1989 .

[21]  Stuart A. Kauffman,et al.  The origins of order , 1993 .

[22]  W. Ross Ashby,et al.  Principles of the Self-Organizing System , 1991 .

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

[24]  David Blitz,et al.  Emergent Evolution: Qualitative Novelty and the Levels of Reality , 1992 .

[25]  Gregory J. Chaitin,et al.  Information-Theoretic Incompleteness , 1992, World Scientific Series in Computer Science.

[26]  P Bourgine,et al.  Towards a Practice of Autonomous Systems , 1992 .