Searching for authors named "Oliver Schulte" – sorted by Relevance.

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16 documents found, showing 1 through 10. Next 10 →

Hard Choices in Scientific Inquiry
by Oliver Schulte — 1997
…Contents 1 Induction: The Problem and How To Solve It 7 1.1 The Problem of Induction . . . . . . . . . . . . . . . . . . . . . . 7 1.2 Hypothetical Imperatives for Inductive Inference . . . . . . . . . 9 1.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.3.1 Means-En…
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The Logic of Reliable and Efficient Inquiry
by Oliver Schulte — 2001 — Journal of Philosophical Logic
…This paper pursues a thorough-going instrumentalist, or meansends, approach to the theory of inductive inference. I consider three epistemic aims: convergence to a correct theory, fast convergence to a correct theory and steady con- vergence to a correct theory (avoiding retractions). For each of…
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Means-Ends Epistemology
by Oliver Schulte — 2001 — The Monist
…This paper describes the cornerstones of a means-ends approach to the philosophy of inductive inference. I begin with a fallibilist ideal of convergence to the truth in the long run, or in the "limit of inquiry". I determine which methods are optimal for attaining additional epistemic aims (notab…
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Minimal belief change, pareto-optimality and logical consequence. Economic Theory
by Oliver Schulte — 2002
…Summary. A rational agent changes her beliefs in response to new information; a widely held idea is that such belief changes should be minimal. This paper is an overview of the theory of minimal belief revision. I employ a decisiontheoretic framework to compare various principles for minimal belief …
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Iterated backward inference: An algorithm for proper rationalizability
by Oliver Schulte — 2003 — Proceedings of TARK IX (Theoretical Aspects of Reasoning about Knowledge
…An important approach to game theory is to examine the consequences of beliefs that agents may have about each other. This paper investigates respect for public preferences. Consider an agent A who believes that B strictly prefers an option a to an option b. ThenA respects B’s preference if A assign…
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Inferring Conservation Laws in Particle Physics: A Case Study
by Oliver Schulte — 2001 — in the Problem of Induction”, The British Journal for the Philosophy of Science, Forthcoming
…This paper develops a means-ends analysis of an inductive problem that arises in particle physics: how to infer from observed reactions conservation principles that govern all reactions among elementary particles. I show that there is a reliable inference procedure that is guaranteed to arrive at an…
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Minimal belief change and the pareto principle
by Oliver Schulte — 1999 — Synthese
…This paper analyzes the notion of a minimal belief change that incorporates new information. I apply the fundamental decision-theoretic principle of Pareto-optimality to derive a notion of minimal belief change, for two different representations of belief: First, for beliefs represented by a theory–…
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Simultaneous Discovery of Conservation Laws and Hidden Particles With Smith Matrix Decomposition
by Oliver Schulte
…Particle physics experiments, like the Large Hadron Collider in Geneva, can generate thousands of data points listing detected particle reactions. An important learning task is to analyze the reaction data for evidence of conserved quantities and hidden particles. This task involves latent structure…
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Mind change efficient learning
by Wei Luo, Oliver Schulte — 2005 — Info. & Comp
…Abstract. This paper studies efficient learning with respect to mind changes. Our starting point is the idea that a learner that is efficient with respect to mind changes minimizes mind changes not only globally in the entire learning problem, but also locally in subproblems after receiving some evi…
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Mind Change Optimal Learning of Bayes Net Structure". O.Schulte
by Oliver Schulte, Russell Greiner — 2007 — in Proceedings of the 20th Annual Conference on Learning Theory
…Abstract. This paper analyzes the problem of learning the structure of a Bayes net (BN) in the theoretical framework of Gold’s learning paradigm. Bayes nets are one of the most prominent formalisms for knowledge representation and probabilistic and causal reasoning. We follow constraint-based approa…
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