David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
In B. V. Srikantan (ed.), Foundations of Science. Center for Studies in Civilizations (forthcoming)
What should be the ontology of the world such that life and cognition are possible? In this essay, I undertake to outline an alternative ontological foundation which makes biological and cognitive phenomena possible. The foundation is built by defining a model, which is presented in the form of a description of a hypothetical but a logically possible world with a defined ontological base. Biology rests today on quite a few not so well connected foundations: molecular biology based on the genetic dogma; evolutionary biology based on neo-Darwinian model; ecology based on systems view; developmental biology by morphogenetic models; connectionist models for neurophysiology and cognitive biology; pervasive teleonomic explanations for the goal-directed behavior across the discipline; etc. Can there be an underlying connecting theme or a model which could make these seemingly disparate domains interconnected? I shall atempt to answer this question. By following the semantic view of scientific theories, I tend to believe that the models employed by the present physical sciences are not rich enough to capture biological (and some of the non-biological) systems. A richer theory that could capture biological reality could also capture physical and chemical phenomena as limiting cases, but not vice versa.
|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
Margaret Morrison (1997). Physical Models and Biological Contexts. Philosophy of Science 64 (4):324.
Karlis Podnieks (2009). Is Scientific Modeling an Indirect Methodology? The Reasoner 3 (1):4-5.
Nancy J. Nersessian (2006). Model-Based Reasoning in Distributed Cognitive Systems. Philosophy of Science 73 (5):699-709.
Nagarjuna G. (2009). Tracing the Biological Roots of Knowledge. In Rangaswamy N. S. (ed.), Life and Organicism. Centre for Studies in Civilizations.
Niall Shanks (2001). Modeling Biological Systems: The Belousov–Zhabotinsky Reaction. [REVIEW] Foundations of Chemistry 3 (1):33-53.
Uri Wilensky & Kenneth Reisman (2006). Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories. Cognition & Instruction 24 (2):171-209.
Arciszewski Michal, Reducing the Dauer Larva: Molecular Models of Biological Phenomena in Caenorhabditis Elegans Research.
Barbara Webb (2001). Can Robots Make Good Models of Biological Behaviour? Behavioral and Brain Sciences 24 (6):1033-1050.
Added to index2009-01-28
Total downloads12 ( #137,616 of 1,140,000 )
Recent downloads (6 months)1 ( #157,514 of 1,140,000 )
How can I increase my downloads?