Skip to main content
Article thumbnail
Location of Repository

Are Probabilities Indispensable to the Design Inference?

By Robert C. Koons


After sketching the various probabilistic accounts of the design inference, including the Bayesian and Dembskian models, I make a stab at developing, in an admittedly crude form, a non-probabilistic model, based on a measure of ontological complexity, which, I conjecture, may more faithfully represent the design inference as found in such classical texts as Aquinas, Reid and Paley. I discuss the various pluses and minuses of probabilistic and non-probabilistic models, with reference to one important test case: inferring design from anthropic coincidences in the fundamental constants of physics

Year: 2002
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.