Can Darwinian mechanisms make novel discoveries?: Learning from discoveries made by evolving neural networks [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Foundations of Science 5 (2):225-238 (2000)
Some philosophers suggest that the development of scientificknowledge is a kind of Darwinian process. The process of discovery,however, is one problematic element of this analogy. I compare HerbertSimon's attempt to simulate scientific discovery in a computer programto recent connectionist models that were not designed for that purpose,but which provide useful cases to help evaluate this aspect of theanalogy. In contrast to the classic A.I. approach Simon used, ``neuralnetworks'' contain no explicit protocols, but are generic learningsystems built on the model of the interconnections of neurons in thebrain. I describe two cases that take the connectionist approach a stepfurther by using genetic algorithms, a form of evolutionary computationthat explicitly models Darwinian mechanisms. These cases show thatDarwinian mechanisms can make novel discoveries of complex, previouslyunknown patterns. With some caveats, they lend support to evolutionaryepistemology.
|Keywords||connectionism evolutionary epistemology genetic algorithms neural networks scientific discovery|
|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
Robert T. Pennock (2012). Negotiating Boundaries in the Definition of Life: Wittgensteinian and Darwinian Insights on Resolving Conceptual Border Conflicts. [REVIEW] Synthese 185 (1):5-20.
Similar books and articles
Tyrone Lai (1991). Discovery as a Problem for the Inventor. British Journal for the Philosophy of Science 42 (3):327-337.
Noretta Koertge (1982). Explaining Scientific Discovery. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:14 - 28.
Eric Dietrich, Arthur B. Markman & Michael Winkley (2003). The Prepared Mind: The Role of Representational Change in Chance Discovery. In Yukio Ohsawa Peter McBurney (ed.), Chance Discovery by Machines. Springer-Verlag, Pp. 208-230.
Toby J. Sommer (2001). Suppression of Scientific Research: Bahramdipity and Nulltiple Scientific Discoveries. Science and Engineering Ethics 7 (1):77-104.
Daniel James McArthur (2011). Discovery, Theory Change and Structural Realism. Synthese 179 (3):361 - 376.
Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
Tyrone Lai (1989). How We Make Discoveries. Synthese 79 (3):361 - 392.
Pio García (2009). Discovery by Serendipity: A New Context for an Old Riddle. [REVIEW] Foundations of Chemistry 11 (1):33-42.
David Chalmers (1992). The Evolution of Learning: An Experiment in Genetic Connectionism. In Connectionist Models: Proceedings of the 1990 Summer School Workshop. Morgan Kaufmann
Wei-Min Shen (1995). The Process of Discovery. Foundations of Science 1 (2):233-251.
Added to index2009-01-28
Total downloads13 ( #268,616 of 1,796,439 )
Recent downloads (6 months)4 ( #206,830 of 1,796,439 )
How can I increase my downloads?