Primordial evolution in the finitary process soup

A general and basic model of primordial evolution-a soup of reacting fini- tary and discrete processes-is employed to identify and analyze fundamental mechanisms that generate and maintain complex structures in prebiotic sys- tems. The processes?-machines as defined in computational mechanics-and their interaction networks both provide well defined notions of structure. This enables us to quantitatively demonstrate hierarchical self-organization in the soup in terms of complexity. We found that replicating processes evolve the strategy of successively building higher levels of organization by autocataly- sis. Moreover, this is facilitated by local components that have low structural complexity, but high generality. In e®ect, the finitary process soup sponta- neously evolves a selection pressure that favors such components. In light of the finitary process soup’s generality, these results suggest a fundamental law of hierarchical systems: global complexity requires local simplicity.

[1]  Olof Görnerup,et al.  Objects that make objects: the population dynamics of structural complexity , 2004, Journal of The Royal Society Interface.

[2]  Steen Rasmussen,et al.  The coreworld: emergence and evolution of cooperative structures in a computational chemistry , 1990 .

[3]  Thomas S. Ray,et al.  An Approach to the Synthesis of Life , 1991 .

[4]  Young,et al.  Inferring statistical complexity. , 1989, Physical review letters.

[5]  C. Titus Brown,et al.  Evolutionary Learning in the 2D Artificial Life System "Avida" , 1994, adap-org/9405003.

[6]  M Mitchell,et al.  The evolution of emergent computation. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

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

[8]  J. Crutchfield,et al.  Thermodynamic depth of causal states: Objective complexity via minimal representations , 1999 .

[9]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[10]  J. Glenn Brookshear,et al.  Theory of Computation: Formal Languages, Automata, and Complexity , 1989 .

[11]  H. Maturana,et al.  Autopoiesis: the organization of living systems, its characterization and a model. , 1974, Currents in modern biology.

[12]  M. Eigen,et al.  The Hypercycle: A principle of natural self-organization , 2009 .

[13]  J. Crutchfield The calculi of emergence: computation, dynamics and induction , 1994 .

[14]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[15]  Walter Fontana,et al.  The Barrier of Objects: From Dynamical Systems to Bounded Organizations , 1996 .