David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
British Journal for the Philosophy of Science 45 (2):505-525 (1994)
Biologically motivated computing seeks to transfer ideas from the biosciences to computer science. In seeking to make transfers it is helpful to be able to appreciate the metaphors which people use. This is because metaphors provide the context through which analogies and similes are made and by which many scientific models are constructed. As such, it is important for any rapidly evolving domain of knowledge to have developments accounted for in these terms. This paper seeks to provide one overview of the process of modelling and shows how it can be used to account for a variety of biologically motivated computational models. Certain key ideas are identified in the subsequent analysis of biological sources, notably, systemic metaphors. Three important aspects of biological thinking are then considered in the light of computer science applications: biological organization, the cell, and models of evolution. The analysis throughout the paper is descriptive rather than formalized so that a large variety of potential applications may be considered.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Mathias Gutmann & Benjamin Rathgeber (2008). Information as Metaphorical and Allegorical Construction: Some Methodological Preludes. Poiesis and Praxis 5 (3-4):211-232.
Matti Tedre (2011). Computing as a Science: A Survey of Competing Viewpoints. [REVIEW] Minds and Machines 21 (3):361-387.
Anthony F. Beavers (2011). Recent Developments in Computing and Philosophy. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 42 (2):385-397.
Gheorghe Paun & Mario J. Pérez-Jiménez (2003). Recent Computability Models Inspired From Biology: DNA and Membrane Computing. Theoria 18 (1):71-84.
Subrata Dasgupta (2008). Shedding Computational Light on Human Creativity. Perspectives on Science 16 (2):pp. 121-136.
Rodrick Wallace (2006). Pitfalls in Biological Computing: Canonical and Idiosyncratic Dysfunction of Conscious Machines. Mind and Matter 4 (1):91-113.
Gualtiero Piccinini (2007). Computing Mechanisms. Philosophy of Science 74 (4):501-526.
Ray Paton (1997). Glue, Verb and Text Metaphors in Biology. Acta Biotheoretica 45 (1):1-15.
R. C. Paton (1992). Towards a Metaphorical Biology. Biology and Philosophy 7 (3):279-294.
Added to index2009-01-28
Total downloads3 ( #427,878 of 1,696,586 )
Recent downloads (6 months)1 ( #345,974 of 1,696,586 )
How can I increase my downloads?