Entropy 2012, 14(10), 1939-1952; doi:10.3390/e14101939

Programming Unconventional Computers: Dynamics, Development, Self-Reference

Received: 23 August 2012; in revised form: 8 October 2012 / Accepted: 9 October 2012 / Published: 17 October 2012
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Classical computing has well-established formalisms for specifying, refining, composing, proving, and otherwise reasoning about computations. These formalisms have matured over the past 70 years or so. Unconventional Computing includes the use of novel kinds of substrates–from black holes and quantum effects, through to chemicals, biomolecules, even slime moulds–to perform computations that do not conform to the classical model. Although many of these unconventional substrates can be coerced into performing classical computation, this is not how they “naturally” compute. Our ability to exploit unconventional computing is partly hampered by a lack of corresponding programming formalisms: we need models for building, composing, and reasoning about programs that execute in these substrates. What might, say, a slime mould programming language look like? Here I outline some of the issues and properties of these unconventional substrates that need to be addressed to find “natural” approaches to programming them. Important concepts include embodied real values, processes and dynamical systems, generative systems and their meta-dynamics, and embodied self-reference.
Keywords: unconventional computing; development and morphogenesis; self-reference and reflection
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MDPI and ACS Style

Stepney, S. Programming Unconventional Computers: Dynamics, Development, Self-Reference. Entropy 2012, 14, 1939-1952.

AMA Style

Stepney S. Programming Unconventional Computers: Dynamics, Development, Self-Reference. Entropy. 2012; 14(10):1939-1952.

Chicago/Turabian Style

Stepney, Susan. 2012. "Programming Unconventional Computers: Dynamics, Development, Self-Reference." Entropy 14, no. 10: 1939-1952.

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