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 journalArticlepeer-review

3 Citations (Scopus)


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 languageEnglish
Pages (from-to)283-287
Number of pages5
JournalInternational Journal of Unconventional Computing
Issue number4
Publication statusPublished - 2012


  • 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


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