BIOMICS Project : Biological and Mathematical Basis of Interaction Computing
Dini, Paolo, Nehaniv, C.L., Egri-Nagy, Attila, Schilstra, M., Schreckling, Daniel, Posegga, Joachim, Horvath, Gabor and Munro, Alastair J.
(2012)
BIOMICS Project : Biological and Mathematical Basis of Interaction Computing.
pp. 283-287.
ISSN 1548-7199
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).
Item Type | Article |
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Uncontrolled 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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Date Deposited | 18 Nov 2024 12:25 |
Last Modified | 18 Nov 2024 12:25 |