title: Local, General and Universal Prediction Strategies: A Game-Theoretical Approach to the Problem of Induction
creator: Schurz, Gerhard
subject: Confirmation/Induction
description: In this paper I present a game-theoretical approach to the problem of induction. I investigate the comparative success of prediction methods by mathematical analysis and computer programming. Hume's problem lies in the fact that although the success of object-inductive prediction strategies is quite robust, they cannot be universally optimal. My proposal towards a solution of the problem of induction is meta-induction. I show that there exist meta-inductive prediction strategies whose success is universally optimal, modulo short-run losses which are upper-bounded. I then turn to the implications of my approach for the evolution of cognition. In the final section I suggest a revision of the paradigm of bounded rationality by introducing the distinction between local, general and universal prediction strategies.
date: 2008
type: Conference or Workshop Item
type: NonPeerReviewed
format: application/pdf
identifier: http://philsci-archive.pitt.edu/3944/1/EPSA07SchurzPaper.pdf
identifier: Schurz, Gerhard (2008) Local, General and Universal Prediction Strategies: A Game-Theoretical Approach to the Problem of Induction. In: [2007] EPSA07: 1st Conference of the European Philosophy of Science Association (Madrid, 15-17 November, 2007) .
relation: http://philsci-archive.pitt.edu/3944/