Abstraction and representation in living organisms: When does a biological system compute?

18Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Even the simplest known living organisms are complex chemical processing systems. But how sophisticated is the behaviour that arises from this? We present a framework in which even bacteria can be identified as capable of representing information in arbitrary signal molecules, to facilitate altering their behaviour to optimise their food supplies, for example. Known as Abstraction/Representation theory (AR theory), this framework makes precise the relationship between physical systems and abstract concepts. Originally developed to answer the question of when a physical system is computing, AR theory naturally extends to the realm of biological systems to bring clarity to questions of computation at the cellular level.

Cite

CITATION STYLE

APA

Horsman, D., Kendon, V., Stepney, S., & Young, J. P. W. (2017). Abstraction and representation in living organisms: When does a biological system compute? In Studies in Applied Philosophy, Epistemology and Rational Ethics (Vol. 28, pp. 91–116). Springer International Publishing. https://doi.org/10.1007/978-3-319-43784-2_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free