Salzberg C. A graph-based reflexive artificial chemistry.
Biosystems 2007;
87:1-12. [PMID:
16733079 DOI:
10.1016/j.biosystems.2005.12.008]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2005] [Revised: 12/01/2005] [Accepted: 12/02/2005] [Indexed: 10/25/2022]
Abstract
The conceptual divide between formal systems of computation and abstract models of chemistry is considered. As an attempt to concretely bridge this divide, a formalism is proposed that describes a constructive artificial chemistry on a space of directed graph structures. The idea for the formalism originates in computer science theory, with the traditional abstraction of a physical machine, the finite-state machine (FSM). In the FSM, the machine (state-transition graph) and input string (series of binary digits) are fundamentally distinct objects, separated by nature of the underlying formalism. This distinction is dissolved in the proposed system, resulting in a construction process that is reflexive: graphs interact with their own topological structure to generate a product. It is argued that this property of reflexivity is a key element missing from earlier model chemistries. Examples demonstrate the continuous emergence complex self-similar topologies, novel reaction pathways, and seemingly open-ended diversity. Implications of these findings are discussed.
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