
Thinking about Acting
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Content
- Intro
- Contents
- Chapter 1: Rational Choice and Classical Decision Theory
- 1. Rational Cognition
- 2. Ideal Rationality and Real Rationality
- 3. Human Rationality and Generic Rationality
- 4. Decision Making
- 5. Classical Decision Theory and the Optimality Prescription
- Part I: Values
- Chapter 2: Evaluative Cognition and the Evaluative Database
- 1. The Doxastic/ Conative Loop
- 2. Preference Rankings
- 3. Analog Representations of Values
- 4. Conclusions
- Chapter 3: Evaluative Induction
- 1. The Need for Evaluative Induction
- 2. Human Conative States
- 3. Evaluative Induction
- 4. Evaluative Induction as a Q&I Module
- 5. Conclusions
- Chapter 4: Some Observations about Evaluative Cognition
- 1. Liking Activities
- 2. Evaluating the Human Cognitive Architecture
- 3. State Liking
- 4. Conclusions
- Chapter 5: The Database Calculation
- 1. The Database Calculation
- 2. Justifying the Database Calculation
- 3. Feature-Based Evaluative Cognition
- Part II: Probabilities
- Chapter 6: Subjective Probabilities
- 1. Two Kinds of Probabilities
- 2. Subjective Probabilities and Degrees of Belief
- 3. Belief Simpliciter
- 4. Subjective Expected Utility Theory
- 5. Rational Decision Making
- 6. Do Subjective Probabilities Exist
- 7. Deriving the Optimality Prescription from Rationality Constraints
- 8. Subjective Probabilities from Epistemology
- 9. A Return to Objective Probabilities
- Chapter 7: Objective Probabilities
- 1. Physical Probabilities and Relative Frequencies
- 2. Empirical Theories
- 3. Nomic Probability
- 4. Mixed Physical/Epistemic Probabilities
- 5. Conclusions
- Chapter 8: Causal Probabilities
- 1. Causal Decision Theory
- 2. Probabilistic Causation
- 3. Skyrms and Lewis
- 4. Defining Causal Probability
- 5. Conditional Causal Probability
- 6. C-PROB[sub(A)] and K-PROB[sub(A)]
- 7. Computing Causal Probabilities
- 8. Computing Conditional Causal Probabilities
- 9. Simplifying the Computation Defeasibly
- 10. Conclusions
- Part III: Decisions
- Chapter 9: Rational Choice and Action Omnipotence
- 1. Actions and the Optimality Prescription
- 2. Action Omnipotence
- 3. Restricting the Scope of the Optimality Prescription
- 4. Expected Utility
- 5. Conditional Policies and Expected Utilities
- 6. Two Problems
- 7. Computing Expected-Utilities
- 8. Conclusions
- Chapter 10: Plans and Decisions
- 1. Against Optimality
- 2. The Logical Structure of Practical Deliberation
- 3. Groups of Actions
- 4. Actions and Plans
- 5. Choosing between Plans
- 6. AI Planning Theory: The Real World versus Toy Problems
- 7. When Is a Plan a Good One?
- 8. Locally Global Planning
- 9. Conclusions
- Chapter 11: Plans and Their Expected Utilities
- 1. Linear Plans
- 2. Linear Policies
- 3. Nonlinear Plans
- 4. Conditional Plans
- 5. An Example
- 6. Conclusions
- Chapter 12: Locally Global Planning
- 1. The Theory
- 2. Incremental Decision-Theoretic Planning
- 3. Goal-Directed Planning
- 4. Presumptively Additive Expected Utilities
- 5. Finding and Repairing Decision-Theoretic Interference
- 6. Conclusions
- Appendix: The Theory of Nomic Probability
- 1. Introduction
- 2. Computational Principles
- 3. The Statistical Syllogism
- 4. Direct Inference and Definite Probabilities
- 5. Indefinite Probabilities and Probability Distributions
- 6. Induction
- 7. Conclusions
- Bibliography
- Index
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