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dc.contributor.authorDini, Paolo
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorEgri-Nagy, Attila
dc.contributor.authorSchilstra, M.
dc.contributor.authorSchreckling, Daniel
dc.contributor.authorPosegga, Joachim
dc.contributor.authorHorvath, Gabor
dc.contributor.authorMunro, Alastair J.
dc.identifier.citationDini , P , Nehaniv , C L , Egri-Nagy , A , Schilstra , M , Schreckling , D , Posegga , J , Horvath , G & Munro , A J 2012 , ' BIOMICS Project : Biological and Mathematical Basis of Interaction Computing ' , International Journal of Unconventional Computing , vol. 8 , no. 4 , pp. 283-287 .
dc.identifier.otherPURE: 2140278
dc.identifier.otherPURE UUID: 1ef5f131-d7ee-4919-82ad-a4bacf7ba02f
dc.identifier.otherWOS: 000312177000002
dc.identifier.otherScopus: 84870857317
dc.description.abstractThe 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).en
dc.relation.ispartofInternational Journal of Unconventional Computing
dc.subjectUnconventional computing
dc.subjectinteraction computing
dc.subjectbiologically-inspired computing
dc.subjectalgebraic automata theory
dc.subjectcomputational systems biology
dc.subjectcategory theory
dc.subjectLie symmetry
dc.subjectspecification language
dc.subjectsoftware security
dc.subjectcoalgebraic logic
dc.subjectcellular pathway modelling
dc.titleBIOMICS Project : Biological and Mathematical Basis of Interaction Computingen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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