BIOMICS project : biological and mathematical basis of interaction computing

Paolo Dini; Chrystopher L. Nehaniv; Attila Egri-Nagy; Maria J. Schilstra; Daniel Schreckling; Joachim Posegga; Gabor Horvath; Alistair J. Munro

BIOMICS project : biological and mathematical basis of interaction computing

Paolo Dini, Chrystopher L. Nehaniv, Attila Egri-Nagy, Maria J. Schilstra, Daniel Schreckling, Joachim Posegga, Gabor Horvath, Alistair J. Munro

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The main idea that led us to propose this project is inspired by the observation that cell metabolic/regulatory systems are able to self-organise and/or construct order dynamically, through random interactions between their components and based on a wide range of possible inputs. We think it is possible for this behaviour to be reproduced in a controllable way through interacting finite-state automata. This will lead to a radically new model of "bottom-up computation" with equal applicability to computer science and systems biology that we call Interaction Computing (IC).

Original language	English
Pages (from-to)	283-287
Number of pages	5
Journal	International Journal of Unconventional Computing
Volume	8
Issue number	4
Publication status	Published - 2012

Keywords

Lie symmetry
algebraic automata theory
category theory
coalgebraic logic
computational systems biology
computing
self, organisation
software security
specification language

Cite this

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AU - Dini, Paolo

AU - Nehaniv, Chrystopher L.

AU - Egri-Nagy, Attila

AU - Schilstra, Maria J.

AU - Schreckling, Daniel

AU - Posegga, Joachim

AU - Horvath, Gabor

AU - Munro, Alistair J.

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AB - The main idea that led us to propose this project is inspired by the observation that cell metabolic/regulatory systems are able to self-organise and/or construct order dynamically, through random interactions between their components and based on a wide range of possible inputs. We think it is possible for this behaviour to be reproduced in a controllable way through interacting finite-state automata. This will lead to a radically new model of "bottom-up computation" with equal applicability to computer science and systems biology that we call Interaction Computing (IC).

KW - Lie symmetry

KW - algebraic automata theory

KW - category theory

KW - coalgebraic logic

KW - computational systems biology

KW - computing

KW - self, organisation

KW - software security

KW - specification language

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EP - 287

JO - International Journal of Unconventional Computing

JF - International Journal of Unconventional Computing

IS - 4

ER -

BIOMICS project : biological and mathematical basis of interaction computing

Abstract

Keywords

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