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Subject: Philosophy  Book Title: Understanding People
Understanding People
Normativity and Rationalizing Explanation
Millar, Alan , Department of Philosophy, University of Stirling
Print publication date: 2004
Published to Oxford Scholarship Online: January 2007
Print ISBN-13: 978-0-19-925440-8
doi:10.1093/acprof:oso/9780199254408.001.0001
 
Abstract: This book shows that ascriptions of beliefs and intentions are normative in that they have normative implications. Since there is no more to believing something and intending something than meeting the conditions for falling under, respectively, the concepts of so believing and of so intending, it follows that there is a normative dimension to the states of believing and intending. The idea is extended to all propositional attitudes via the assumption that attitudes with conceptual content have a normative dimension. The resulting picture is applied to issues about understanding people in terms of rationalizing explanations of what they think or do. An important concern is to explain how the fact that agents’ attitudes rationalize the performance of actions or the formation of beliefs on their part can be relevant to the explanation of what they do or believe. Along the way, there are discussions of normative commitments, differences between reasons for action and reasons for belief, practices conceived as essentially rule-governed activities, simulation theory, and the limits of mentalistic explanation.

Keywords: propositional attitudes, normative reasons, normative commitments, semantic meaning, concepts, practices
Table of Contents
Preface
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CHAPTER I. Introduction
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CHAPTER 2. Reasons for Belief and for Action
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CHAPTER 3. Normative Commitments and the Very Idea of Normativity
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CHAPTER 4. Explaining Normative Import
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CHAPTER 5. The Reflexivity of Intention and Belief
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CHAPTER 6. Meaning and Intentional Content
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CHAPTER 7. The Problem of Explanatory Relevance
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CHAPTER 8. Rationality and Simulation
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CHAPTER 9. Limits
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Bibliography
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Index
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doi:10.1093/acprof:oso/9780199254408.001.0001
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