BIOMICS Project: Biological and Mathematical Basis of Interaction Computing

Paolo Dini; C.L. Nehaniv; Attila Egri-Nagy; M. Schilstra; Daniel Schreckling; Joachim Posegga; Gabor Horvath; Alastair J. Munro

BIOMICS Project: Biological and Mathematical Basis of Interaction Computing

Paolo Dini, C.L. Nehaniv, Attila Egri-Nagy, M. Schilstra, Daniel Schreckling, Joachim Posegga, Gabor Horvath, Alastair 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

Unconventional computing
interaction computing
biologically-inspired computing
self-organisation
algebraic automata theory
computational systems biology
category theory
Lie symmetry
specification language
software security
coalgebraic logic
cellular pathway modelling
COMPUTATION
COMPLEXITY
EVOLUTION
NETWORKS
SYSTEMS

Cite this

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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). ",

keywords = "Unconventional computing, interaction computing, biologically-inspired computing, self-organisation, algebraic automata theory, computational systems biology, category theory, Lie symmetry, specification language, software security, coalgebraic logic, cellular pathway modelling, COMPUTATION, COMPLEXITY, EVOLUTION, NETWORKS, SYSTEMS",

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T2 - Biological and Mathematical Basis of Interaction Computing

AU - Dini, Paolo

AU - Nehaniv, C.L.

AU - Egri-Nagy, Attila

AU - Schilstra, M.

AU - Schreckling, Daniel

AU - Posegga, Joachim

AU - Horvath, Gabor

AU - Munro, Alastair J.

PY - 2012

Y1 - 2012

N2 - 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).

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 - Unconventional computing

KW - interaction computing

KW - biologically-inspired computing

KW - self-organisation

KW - algebraic automata theory

KW - computational systems biology

KW - category theory

KW - Lie symmetry

KW - specification language

KW - software security

KW - coalgebraic logic

KW - cellular pathway modelling

KW - COMPUTATION

KW - COMPLEXITY

KW - EVOLUTION

KW - NETWORKS

KW - SYSTEMS

M3 - Article

SN - 1548-7199

VL - 8

SP - 283

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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