dc.contributor.author | Dini, Paolo | |
dc.contributor.author | Nehaniv, C.L. | |
dc.contributor.author | Egri-Nagy, Attila | |
dc.contributor.author | Schilstra, M. | |
dc.contributor.author | Schreckling, Daniel | |
dc.contributor.author | Posegga, Joachim | |
dc.contributor.author | Horvath, Gabor | |
dc.contributor.author | Munro, Alastair J. | |
dc.date.accessioned | 2014-01-30T14:00:33Z | |
dc.date.available | 2014-01-30T14:00:33Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Dini , 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.issn | 1548-7199 | |
dc.identifier.uri | http://hdl.handle.net/2299/12713 | |
dc.description.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). | en |
dc.format.extent | 5 | |
dc.language.iso | eng | |
dc.relation.ispartof | International Journal of Unconventional Computing | |
dc.subject | Unconventional computing | |
dc.subject | interaction computing | |
dc.subject | biologically-inspired computing | |
dc.subject | self-organisation | |
dc.subject | algebraic automata theory | |
dc.subject | computational systems biology | |
dc.subject | category theory | |
dc.subject | Lie symmetry | |
dc.subject | specification language | |
dc.subject | software security | |
dc.subject | coalgebraic logic | |
dc.subject | cellular pathway modelling | |
dc.subject | COMPUTATION | |
dc.subject | COMPLEXITY | |
dc.subject | EVOLUTION | |
dc.subject | NETWORKS | |
dc.subject | SYSTEMS | |
dc.title | BIOMICS Project : Biological and Mathematical Basis of Interaction Computing | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Biocomputation Research Group | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |