David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Episteme 6 (2):200-220 (2009)
The justification of induction is of central significance for cross-cultural social epistemology. Different ‘epistemological cultures’ do not only differ in their beliefs, but also in their belief-forming methods and evaluation standards. For an objective comparison of different methods and standards, one needs (meta-)induction over past successes. A notorious obstacle to the problem of justifying induction lies in the fact that the success of object-inductive prediction methods (i.e., methods applied at the level of events) can neither be shown to be universally reliable (Hume's insight) nor to be universally optimal. My proposal towards a solution of the problem of induction is meta-induction. The meta-inductivist applies the principle of induction to all competing prediction methods that are accessible to her. By means of mathematical analysis and computer simulations of prediction games I show that there exist meta-inductive prediction strategies whose success is universally optimal among all accessible prediction strategies, modulo a small short-run loss. The proposed justification of meta-induction is mathematically analytical. It implies, however, an a posteriori justification of object-induction based on the experiences in our world. In the final section I draw conclusions about the significance of meta-induction for the social spread of knowledge and the cultural evolution of cognition, and I relate my results to other simulation results which utilize meta-inductive learning mechanisms
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References found in this work BETA
Gerd Gigerenzer (1999). Simple Heuristics That Make Us Smart. Oxford University Press.
Irving J. Good (1983). Good Thinking: The Foundations of Probability and its Applications. Univ Minnesota Pr.
Robin M. Hogarth & Natalia Karelaia (2006). “Take-the-Best” and Other Simple Strategies: Why and When They Work “Well” with Binary Cues. Theory and Decision 61 (3):205-249.
Kevin Kelly (1996). The Logic of Reliable Inquiry. Oxford University Press, USA.
John D. Norton (2003). A Material Theory of Induction. Philosophy of Science 70 (4):647-670.
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