David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
We present an information theoretic account of models as scientific representations, where scientific models are understood as information carrying artifacts. We propose that the semantics of models should be based on this information coupling of the model to the world. The information theoretic account presents a way of avoiding the need to refer to agents' intentions as constitutive of the semantics of scientific representations, and it provides a naturalistic account of model semantics, which can deal with the problems of asymmetry, relevance and circularity that afflict other currently popular naturalistic proposals.
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
|Through your library||Only published papers are available at libraries|
Similar books and articles
Thomas Nickles (1980). Scientific Problems: Three Empiricist Models. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:3 - 19.
S. Ducheyne (2008). Towards an Ontology of Scientific Models. Metaphysica 9 (1):119-127.
Tarja Knuuttila & Atro Voutilainen (2003). A Parser as an Epistemic Artifact: A Material View on Models. Philosophy of Science 70 (5):1484-1495.
Gordana Dodig-Crnkovic (2008). Empirical Modeling and Information Semantics. Mind & Society 7 (2):157.
Alisa Bokulich (2011). How Scientific Models Can Explain. Synthese 180 (1):33 - 45.
William Harms (1997). Reliability and Novelty: Information Gain in Multi-Level Selection Systems. [REVIEW] Erkenntnis 46 (3):335-363.
Added to index2010-03-27
Total downloads3 ( #220,303 of 1,003,857 )
Recent downloads (6 months)1 ( #64,406 of 1,003,857 )
How can I increase my downloads?