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  1. J. McKenzie Alexander (2011). Expectations and Choiceworthiness. Mind 120 (479):803-817.
    The Pasadena game is an example of a decision problem which lacks an expected value, as traditionally conceived. Easwaran (2008) has shown that, if we distinguish between two different kinds of expectations, which he calls ‘strong’ and ‘weak’, the Pasadena game lacks a strong expectation but has a weak expectation. Furthermore, he argues that we should use the weak expectation as providing a measure of the value of an individual play of the Pasadena game. By considering a modified version of (...)
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  2. Horacio Arló-Costa (2005). Models of Preference Reversals and Personal Rules: Do They Require Maximizing a Utility Function with a Specific Structure? Behavioral and Brain Sciences 28 (5):650-651.
    One of the reasons for adopting hyperbolic discounting is to explain preference reversals. Another is that this value structure suggests an elegant theory of the will. I examine the capacity of the theory to solve Newcomb's problem. In addition, I compare Ainslie's account with other procedural theories of choice that seem at least equally capable of accommodating reversals of preference.
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  3. Frank Arntzenius, Adam Elga & and John Hawthorne (2004). Bayesianism, Infinite Decisions, and Binding. Mind 113 (450):251-283.
    We pose and resolve several vexing decision theoretic puzzles. Some are variants of existing puzzles, such as ‘Trumped’ (Arntzenius and McCarthy 1997), ‘Rouble trouble’ (Arntzenius and Barrett 1999), ‘The airtight Dutch book’ (McGee 1999), and ‘The two envelopes puzzle’ (Broome 1999). Others are new. A unified resolution of the puzzles shows that Dutch book arguments have no force in infinite cases. It thereby provides evidence that reasonable utility functions may be unbounded and that reasonable credence functions need not be countably (...)
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  4. Max Black (1978). The « Prisoner's Dilemma » and the Limits of Rationality. International Studies in Philosophy 10:7-22.
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  5. Nick Bostrom (2001). The Meta-Newcomb Problem. Analysis 61 (4):309–310.
    There are two boxes in front of you and you are asked to choose between taking only box B or taking both box A and box B. Box A contains $ 1,000. Box B will contain either nothing or $ 1,000,000. What B will contain is (or will be) determined by Predictor, who has an excellent track record of predicting your choices. There are two possibilities. Either Predictor has already made his move by predicting your choice and putting a million (...)
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  6. Darren Bradley, Bayesianism And Self-Locating Beliefs.
    How should we update our beliefs when we learn new evidence? Bayesian confirmation theory provides a widely accepted and well understood answer – we should conditionalize. But this theory has a problem with self-locating beliefs, beliefs that tell you where you are in the world, as opposed to what the world is like. To see the problem, consider your current belief that it is January. You might be absolutely, 100%, sure that it is January. But you will soon believe it (...)
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  7. John W. Carroll (1993). The Indefinitely Iterated Prisoner's Dilemma: Reply to Becker and Cudd. Theory and Decision 34 (1):63-72.
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  8. José Luis Ferreira (2010). Monty Hall Drives a Wedge Between Judy Benjamin and the Sleeping Beauty: A Reply to Bovens. Analysis 70 (3).
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  9. John Martin Fischer (2001). Newcomb’s Problem: A Reply to Carlson. Analysis 61 (271):229–236.
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  10. Olav Gjelsvik (2002). Paradox Lost, but in Which Envelope? Croatian Journal of Philosophy 2 (3):353-362.
    The aim of this paper is to diagnose the so-called two envelopes paradox. Many writers have claimed that there is something genuinely paradoxical in the situation with the two envelopes, and some writers are now developing non-standards theories of expected utility. I claim that there is no paradox for expected utility theory as I understand that theory, and that contrary claims are confused. Expected utility theory is completely unaffected by the two-envelope paradox.
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  11. Jeremy Gwiazda (2012). Repeated St Petersburg Two-Envelope Trials and Expected Value. The Reasoner 6 (3).
    It is commonly believed that when a finite value is received in a game that has an infinite expected value, it is in one’s interest to redo the game. We have argued against this belief, at least in the repeated St Petersburg two-envelope case. We also show a case where repeatedly opting for a higher expected value leads to a worse outcome.
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  12. Leigh B. Kelley (1988). Reflections on Deliberative Coherence. Synthese 76 (1):83 - 121.
    This paper treats two problem cases in decision theory, the Newcomb problem and Reed Richter''s Button III. Although I argue that, contrary to Richter, the latter case does not constitute a genuine counterexample to a standard general proposition of (causal) decision theory, I agree with and undertake to amplify his solution to the decision problem in Button III. I then apply the conclusions and distinctions in the foregoing treatment of Button III to the Newcomb problem and argue that a familiar (...)
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  13. Brian Kierland & Bradley Monton (2005). Minimizing Inaccuracy for Self-Locating Beliefs. Philosophy and Phenomenological Research 70 (2):384-395.
    One's inaccuracy for a proposition is defined as the squared difference between the truth value (1 or 0) of the proposition and the credence (or subjective probability, or degree of belief) assigned to the proposition. One should have the epistemic goal of minimizing the expected inaccuracies of one's credences. We show that the method of minimizing expected inaccuracy can be used to solve certain probability problems involving information loss and self-locating beliefs (where a self-locating belief of a temporal part of (...)
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  14. Srecko Kovac (2012). Logical Opposition and Collective Decisions. In Jean-Yves Béziau & Dale Jacquette (eds.), Around and Beyond the Square of Opposition. Springer.
    The square of opposition (as part of a lattice) is used as a natural way to represent different and opposite ways of who makes decisions, and in what way, in/for a group or a society. Majority logic is characterized by multiple logical squares (one for each possible majority), with the “discursive dilemma” as a consequence. Three-valued logics of majority decisions with discursive dilemma undecided, of veto, consensus, and sequential voting are analyzed from the semantic point of view. For instance, the (...)
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  15. Gary Malinas (2003). Two Envelope Problems and the Roles of Ignorance. Acta Analytica 18 (1-2):217-225.
    Four variations on Two Envelope Paradox are stated and compared. The variations are employed to provide a diagnosis and an explanation of what has gone awry in the paradoxical modeling of the decision problem that the paradox poses. The canonical formulation of the paradox underdescribes the ways in which one envelope can have twice the amount that is in the other. Some ways one envelope can have twice the amount that is in the other make it rational to prefer the (...)
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  16. Philippe Mongin (2000). Does Optimization Imply Rationality? Synthese 124 (1-2):73 - 111.
    The relations between rationality and optimization have been widely discussed in the wake of Herbert Simon's work, with the common conclusion that the rationality concept does not imply the optimization principle. The paper is partly concerned with adding evidence for this view, but its main, more challenging objective is to question the converse implication from optimization to rationality, which is accepted even by bounded rationality theorists. We discuss three topics in succession: (1) rationally defensible cyclical choices, (2) the revealed preference (...)
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  17. Alastair Norcross (1998). Great Harms From Small Benefits Grow: How Death Can Be Outweighed by Headaches. Analysis 58 (2):152–158.
    Suppose that a very large number of people, say one billion, will suffer a moderately severe headache for the next twenty-four hours. For these billion people, the next twenty-four hours will be fairly unpleasant, though by no means unbearable. However, there will be no side-effects from these headaches; no drop in productivity in the work-place, no lapses in concentration leading to accidents, no unkind words spoken to loved ones that will later fester. Nonetheless, it is clearly desirable that these billion (...)
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  18. John L. Pollock (forthcoming). A Resource-Bounded Agent Addresses the Newcomb Problem. Synthese.
    In the Newcomb problem, the standard arguments for taking either one box or both boxes adduce what seem to be relevant considerations, but they are not complete arguments, and attempts to complete the arguments rely upon incorrect principles of rational decision making. It is argued that by considering how the predictor is making his prediction, we can generate a more complete argument, and this in turn supports a form of causal decision theory.
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  19. Wlodek Rabinowicz (2003). Remarks on the Absentminded Driver. Studia Logica 73 (2):241 - 256.
    Piccione and Rubinstein (1997) present and analyse the sequential decision problem of an “absentminded driver”. The driver's absentmindedness (imperfect recall) leads him to time-inconsistent strategy evaluations. His original evaluation gets replaced by a new one under impact of the information that the circumstances have changed, notwithstanding the fact that this change in circumstances has been expected by him all along. The time inconsistency in strategy evaluation suggests that such an agent might have reason to renege on his adopted strategy. As (...)
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  20. P. Shaw (1996). The Tortoise and the Prisoners' Dilemma. Mind 105 (419):475-483.
    Simon Blackburn has claimed that on a theory of revealed preference it is tautological that any eligible player - one whose preferences are consistent - plays hawk, chooses a strategy of non-cooperation with the other prisoner. This claim is examined and rejected. A prisoner in the appropriate sense is defined not by preferences over actions (playing hawk or playing dove) but by preferences over the four possible outcomes which result from the players' actions jointly (both playing hawk, both playing dove, (...)
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  21. Jordan Howard Sobel (1991). Non-Dominance, Third Person and Non-Action Newcomb Problems, and Metatickles. Synthese 86 (2):143 - 172.
    It is plausible that Newcomb problems in which causal maximizers and evidential maximizers would do different things would not be possible for ideal maximizers who are attentive to metatickles. An objection to Eells's first argument for this makes welcome a second. Against it I argue that even ideal evidential and causal maximizers would do different things in some non-dominance Newcomb problems; and that they would hope for different things in some third-person and non-action problems, which is relevant if a good (...)
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  22. Katie Steele (2007). Distinguishing Indeterminate Belief From “Risk-Averse” Preferences. Synthese 158 (2):189 - 205.
    I focus my discussion on the well-known Ellsberg paradox. I find good normative reasons for incorporating non-precise belief, as represented by sets of probabilities, in an Ellsberg decision model. This amounts to forgoing the completeness axiom of expected utility theory. Provided that probability sets are interpreted as genuinely indeterminate belief (as opposed to “imprecise” belief), such a model can moreover make the “Ellsberg choices” rationally permissible. Without some further element to the story, however, the model does not explain how an (...)
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  23. W. J. Talbott (1987). Standard and Non-Standard Newcomb Problems. Synthese 70 (3):415 - 458.
    Examples involving common causes — most prominently, examples involving genetically influenced choices — are analytically equivalent not to standard Newcomb Problems — in which the Predictor genuinely predicts the agent's decision — but to non-standard Newcomb Problems — in which the Predictor guarantees the truth of her predictions by interfering with the agent's decision to make the agent choose as it was predicted she would. When properly qualified, causal and epistemic decision theories diverge only on standard — not on non-standard (...)
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  24. David H. Wolpert & Gregory Benford (2013). The Lesson of Newcomb's Paradox. Synthese 190 (9):1637-1646.
    In Newcomb’s paradox you can choose to receive either the contents of a particular closed box, or the contents of both that closed box and another one. Before you choose though, an antagonist uses a prediction algorithm to accurately deduce your choice, and uses that deduction to fill the two boxes. The way they do this guarantees that you made the wrong choice. Newcomb’s paradox is that game theory’s expected utility and dominance principles appear to provide conflicting recommendations for what (...)
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  25. Byeong-Uk Yi (2003). Newcomb's Paradox and Priest's Principle of Rational Choice. Analysis 63 (3):237–242.
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Decision-Theoretic Puzzles, Misc
  1. Arif Ahmed, Smokers and Psychos: Egan Cases Don't Work.
    Andy Egan's Smoking Lesion and Psycho Button cases are supposed to be counterexamples to Causal Decision Theory. This paper argues that they are not: more precisely, it argues that if CDT makes the right call in Newcomb's problem then it makes the right call in Egan cases too.
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  2. Arif Ahmed (2012). Push the Button. Philosophy of Science 79 (3):386-395.
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  3. Horacio Arlo-Costa, John Collins & Isaac Levi (1995). Desire-as-Belief Implies Opinionation or Indifference. Analysis 55 (1):2-5.
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  4. Horacio Arló-Costa & Jeffrey Helzner (2010). Ambiguity Aversion: The Explanatory Power of Indeterminate Probabilities. Synthese 172 (1).
    Daniel Ellsberg presented in Ellsberg (The Quarterly Journal of Economics 75:643–669, 1961) various examples questioning the thesis that decision making under uncertainty can be reduced to decision making under risk. These examples constitute one of the main challenges to the received view on the foundations of decision theory offered by Leonard Savage in Savage (1972). Craig Fox and Amos Tversky have, nevertheless, offered an indirect defense of Savage. They provided in Fox and Tversky (1995) an explanation of Ellsberg’s two-color problem (...)
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  5. Michael Bacharach (1992). Backward Induction and Beliefs About Oneself. Synthese 91 (3):247 - 284.
    According to decision theory, the rational initial action in a sequential decision-problem may be found by backward induction or folding back. But the reasoning which underwrites this claim appeals to the agent's beliefs about what she will later believe, about what she will later believe she will still later believe, and so forth. There are limits to the depth of people's beliefs. Do these limits pose a threat to the standard theory of rational sequential choice? It is argued, first, that (...)
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  6. Andrew Bacon (2011). A Paradox for Supertask Decision Makers. Philosophical Studies 153 (2):307.
    I consider two puzzles in which an agent undergoes a sequence of decision problems. In both cases it is possible to respond rationally to any given problem yet it is impossible to respond rationally to every problem in the sequence, even though the choices are independent. In particular, although it might be a requirement of rationality that one must respond in a certain way at each point in the sequence, it seems it cannot be a requirement to respond as such (...)
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  7. Lara Buchak (forthcoming). Decision Theory. In Christopher Hitchcock & Alan Hajek (eds.), Oxford Handbook of Probability and Philosophy. Oxford University Press.
  8. D. Collins (1988). Belief, Desire, and Revision. Mind 97 (July):333-42.
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  9. Simone Duca (2011). The Suppositional Ramsey Test and Decision-Instability. Topoi.
    Abstract I analyse the relationship between the Ramsey Test (RT) for the acceptance of indicative conditionals and the so-called problem of decision-instability. In particular, I argue that the situations which allegedly bring about this problem are troublesome just in case the relevant conditionals are evaluated by non-suppositional versions, e.g. causal/evidential, of the test. In contrast, a suppositional RT, by highlighting the metacognitive nature of the evaluation of indicative conditionals, allows an agent to run a simulation of such evaluation, without yet (...)
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  10. Kenny Easwaran (2008). Strong and Weak Expectations. Mind 117 (467):633-641.
    Fine has shown that assigning any value to the Pasadena game is consistent with a certain standard set of axioms for decision theory. However, I suggest that it might be reasonable to believe that the value of an individual game is constrained by the long-run payout of repeated plays of the game. Although there is no value that repeated plays of the Pasadena game converges to in the standard strong sense, I show that there is a weaker sort of convergence (...)
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  11. Danny Frederick, Theoretical and Practical Reason: A Critical Rationalist View.
    If the task of theoretical reason is to discover truth or reasons for belief, then theoretical reason is impossible. Attempts to circumvent this by appeal to probabilities are self-defeating. If the task of practical reason is to discover what we ought to do or what actions are desirable or valuable, then practical reason is impossible. Appeal to the subjective ought is self-defeating and often gives either a wrong answer or a self-contradictory one. I argue that the task of theoretical reason (...)
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  12. Johan E. Gustafsson (2011). A Note in Defence of Ratificationism. Erkenntnis 75 (1):147–150.
    Andy Egan argues that neither evidential nor causal decision theory gives the intuitively right recommendation in the cases The Smoking Lesion, The Psychopath Button, and The Three-Option Smoking Lesion. Furthermore, Egan argues that we cannot avoid these problems by any kind of ratificationism. This paper develops a new version of ratificationism that gives the right recommendations. Thus, the new proposal has an advantage over evidential and casual decision theory and standard ratificationist evidential decision theory.
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  13. Frank Jackson, Graham Priest, Alan Hájek & Philip Pettit (2004). Desire Beyond Belief. Australasian Journal of Philosophy 82 (1):77 – 92.
    David Lewis [1988; 1996] canvases an anti-Humean thesis about mental states: that the rational agent desires something to the extent that he or she believes it to be good. Lewis offers and refutes a decision-theoretic formulation of it, the 'Desire-as-Belief Thesis'. Other authors have since added further negative results in the spirit of Lewis's. We explore ways of being anti-Humean that evade all these negative results. We begin by providing background on evidential decision theory and on Lewis's negative results. We (...)
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  14. Gary Malinas (1997). Simpson's Paradox and the Wayward Researcher. Australasian Journal of Philosophy 75 (3):343 – 359.
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  15. Gary Malinas & John Bigelow (2001). Simpson's Paradox. The Monist 84 (2):265-283.
    An association between a pair of variables can consistently be inverted in each subpopulation of a population when the population is partitioned. E.g., a medical treatment can be associated with a higher recovery rate for treated patients compared with the recovery rate for untreated patients; yet, treated male patients and treated female patients can each have lower recovery rates when compared with untreated male patients and untreated female patients. Conversely, higher recovery rates for treated patients in each subpopulation are consistent (...)
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  16. Joe Mintoff (2007). Minimally Constrained Maximisation. In Bruno Verbeek (ed.), Reasons and Intentions. Ashgate Pub. Ltd..
    This chapter argues that, under certain conditions, forming an intention makes an action rational which would otherwise not have been rational, since intentions (together with beliefs) in and of themselves provide deductive reasons for further intentions and actions, an argument which builds on previous work by R M Hare, Michael Bratman and others, It also provides an articulation and defense of the concept of "minimally constrained maximization" as a unified general solution to the well-known paradoxes of rationality, including the paradox (...)
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  17. Joe Mintoff (1999). Decision-Making and the Backward Induction Argument. Pacific Philosophical Quarterly 80 (1):64–77.
    The traditional form of the backward induction argument, which concludes that two initially rational agents would always defect, relies on the assumption that they believe they will be rational in later rounds. Philip Pettit and Robert Sugden have argued, however, that this assumption is unjustified. The purpose of this paper is to reconstruct the argument without using this assumption. The formulation offered concludes that two initially rational agents would decide to always defect, and relies only on the weaker assumption that (...)
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  18. Joe Mintoff (1997). Rational Cooperation, Intention, and Reconsideration. Ethics 107 (4):612-643.
    In their attempt to provide a reason to be moral, contractarians such as David Gauthier are concerned with situations allowing a group of agents the chance of mutual benefit, so long as at least some of them are prepared to constrain their maximising behaviour. But what justifies this constraint? Gauthier argues that it could be rational (because maximising) to intend to constrain one's behaviour, and in certain circumstances to act on this intention. The purpose of this paper is to examine (...)
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  19. Joe Mintoff (1996). On a Problem for Contractarianism. Australasian Journal of Philosophy 74 (1):98 – 116.
    To show it is sometimes rational to cooperate in the Prisoner's Dilemma, David Gauthier has claimed that if it is rational to form an intention then it is sometimes rational act on it. However, the Paradox of Deterrence and the Toxin Puzzle seem to put this general type of claim into doubt. For even if it is rational to form a deterrent intention, it is not rational act on it (if it is not successful); and even if it is rational (...)
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  20. Joe Mintoff (1993). Rational Cooperation, Irrational Retaliation. Pacific Philosophical Quarterly 74:362-380.
    David Gauthier has argued that, under certain conditions, cooperation in the Prisoner's Dilemma is rational. A crucial principle he employs in this argument, however, also implies the pointless retaliation after a failed threat could also be rational. In this paper, I introduce one possible reformulation of the Cooperation Argument, by replacing its second premise with a principle connecting rationally adopted intentions, rational action, and rational reconsideration, and a specific theory of rational reconsideration. I then argue that this reformulated Cooperation Argument (...)
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  21. Huw Price (1989). Defending Desire-as-Belief. Mind 98 (January):119-27.
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  22. Reed Richter (1990). Ideal Rationality and Hand Waving. Australasian Journal of Philosophy 68 (2):147 – 156.
    In discussions surrounding epistemology and rationality, it is often useful to assume an agent is rational or ideally rational. Often, this ideal rationality assumption is spelled out along the following lines: -/- 1. The agent believes everything about a situation which the evidence entitles her to believe and nothing which it does not. -/- 2. The agent believes all the logical consequences of any of her beliefs. -/- 3. The agent knows her own mind: if she believes P, she believes (...)
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  23. Reed Richter (1984). Rationality Revisited. Australasian Journal of Philosophy 62 (4):392 – 403.
    This paper looks at a dispute decision theory about how best to characterize expected utility maximization and express the logic of rational choice. Where A1, … , An are actions open to some particular agent, and S1, … , Sn are mutually exclusive states of the world such that the agent knows at least one of which obtains, does the logic of rational choice require an agent to consider the conditional probability of choice Ai given that some state Si obtains, (...)
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  24. Hans Rott (2011). Odd Choices: On the Rationality of Some Alleged Anomalies of Decision and Inference. Topoi 30 (1):59-69.
    This paper presents a number of apparent anomalies in rational choice scenarios, and their translation into the logic of everyday reasoning. Three classes of examples that have been discussed in the context of probabilistic choice since the 1960s (by Debreu, Tversky and others) are analyzed in a non-probabilistic setting. It is shown how they can at the same time be regarded as logical problems that concern the drawing of defeasible inferences from a given information base. I argue that initial appearances (...)
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  25. Darrell P. Rowbottom & Peter Baumann (2009). To Thine Own Self Be Untrue: A Diagnosis of the Cable Guy Paradox. Logique et Analyse 51 (204):355-364.
    Hájek has recently presented the following paradox. You are certain that a cable guy will visit you tomorrow between 8 a.m. and 4 p.m. but you have no further information about when. And you agree to a bet on whether he will come in the morning interval (8, 12] or in the afternoon interval (12, 4). At first, you have no reason to prefer one possibility rather than the other. But you soon realise that there will definitely be a future (...)
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  26. Frederic Schick (2000). Surprise, Self-Knowledge, and Commonality. Journal of Philosophy 97 (8):440 - 453.
  27. Alex Voorhoeve, Ken Binmore & Lisa Stewart (2012). How Much Ambiguity Aversion? Finding Indifferences Between Ellsberg's Risky and Ambiguous Bets. Journal of Risk and Uncertainty 45 (3):215-38.
    Experimental results on the Ellsberg paradox typically reveal behavior that is commonly interpreted as ambiguity aversion. The experiments reported in the current paper find the objective probabilities for drawing a red ball that make subjects indifferent between various risky and uncertain Ellsberg bets. They allow us to examine the predictive power of alternative principles of choice under uncertainty, including the objective maximin and Hurwicz criteria, the sure-thing principle, and the principle of insufficient reason. Contrary to our expectations, the principle of (...)
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Newcomb's Problem
  1. Kent Bach (1987). Newcomb's Problem: The $1,000,000 Solution. Canadian Journal of Philosophy 17 (2):409 - 425.
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  2. Maya Bar-Hillel & Avishai Margalit (1972). Newcomb's Paradox Revisited. British Journal for the Philosophy of Science 23 (4):295-304.
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  3. R. Eric Barnes (1997). Rationality, Dispositions, and the Newcomb Paradox. Philosophical Studies 88 (1):1-28.
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  4. T. M. Benditt & David J. Ross (1976). Newcomb's 'Paradox'. British Journal for the Philosophy of Science 27 (2):161-164.
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  5. Rachael Briggs (2010). Decision-Theoretic Paradoxes as Voting Paradoxes. Philosophical Review 119 (1):1-30.
  6. John Broome (1989). An Economic Newcomb Problem. Analysis 49 (4):220 - 222.
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  7. Simon Burgess (2012). Newcomb's Problem and its Conditional Evidence: A Common Cause of Confusion. Synthese 184 (3):319-339.
    This paper aims to make three contributions to decision theory. First there is the hope that it will help to re-establish the legitimacy of the problem, pace various recent analyses provided by Maitzen and Wilson, Slezak and Priest. Second, after pointing out that analyses of the problem have generally relied upon evidence that is conditional on the taking of one particular option, this paper argues that certain assumptions implicit in those analyses are subtly flawed. As a third contribution, the piece (...)
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  8. Simon Burgess (2004). The Newcomb Problem: An Unqualified Resolution. Synthese 138 (2):261 - 287.
    The Newcomb problem is analysed here as a type of common cause problem. In relation to such problems, if you take the dominated option your expected outcome will be good and if you take the dominant option your expected outcome will be not so good. As is explained, however, these arenot conventional conditional expected outcomes but `conditional evidence expected outcomes' and while in the deliberation process, the evidence on which they are based is only hypothetical evidence.Conventional conditional expected outcomes are (...)
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  9. Richmond Campbell & Lanning Snowden (eds.) (1985). Paradoxes of Rationality and Cooperation: Prisoner's Dilemma and Newcomb's Problem. University of British Columbia Press.
    1 Background for the Uninitiated RICHMOND CAMPBELL Paradoxes are intrinsically fascinating. They are also distinctively ...
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  10. James Cargile (1975). Newcomb's Paradox. British Journal for the Philosophy of Science 26 (3):234-239.
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  11. Erik Carlson (1998). Fischer on Backtracking and Newcomb's Problem. Analysis 58 (3):229–231.
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  12. Eric G. Cavalcanti (2010). Causation, Decision Theory, and Bell's Theorem: A Quantum Analogue of the Newcomb Problem. British Journal for the Philosophy of Science 61 (3):569-597.
    I apply some of the lessons from quantum theory, in particular from Bell’s theorem, to a debate on the foundations of decision theory and causation. By tracing a formal analogy between the basic assumptions of causal decision theory (CDT)—which was developed partly in response to Newcomb’s problem— and those of a local hidden variable theory in the context of quantum mechanics, I show that an agent who acts according to CDT and gives any nonzero credence to some possible causal interpretations (...)
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  13. Peter Cave (2004). Reeling and a-Reasoning: Surprise Examinations and Newcomb's Tale. Philosophy 79 (4):609-616.
    Certain paradoxes set us reeling endlessly. In surprise examination paradoxes, pupils' reasonings lead them to reel between expecting an examination and expecting none. With Newcomb's puzzle, choosers reel between reasoning in favour of choosing just one box and choosing two. The paradoxes demand an answer to what it is rational to believe or do. Highlighting other reelings and puzzles, this paper shows that the paradoxes should come as no surprise. The paradoxes demand an end to our reasoning when the conditions (...)
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  14. Michael Clark & Nicholas Shackel (2006). The Dr. Psycho Paradox and Newcomb's Problem. Erkenntnis 64 (1):85 - 100.
    Nicholas Rescher claims that rational decision theory “may leave us in the lurch”, because there are two apparently acceptable ways of applying “the standard machinery of expected-value analysis” to his Dr. Psycho paradox which recommend contradictory actions. He detects a similar contradiction in Newcomb’s problem. We consider his claims from the point of view of both Bayesian decision theory and causal decision theory. In Dr. Psycho and in Newcomb’s Problem, Rescher has used premisses about probabilities which he assumes to be (...)
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  15. John Collins, Newcomb's Problem.
    Newcomb’s problem is a decision puzzle whose difficulty and interest stem from the fact that the possible outcomes are probabilistically dependent on, yet causally independent of, the agent’s options. The problem is named for its inventor, the physicist William Newcomb, but first appeared in print in a 1969 paper by Robert Nozick [12]. Closely related to, though less well-known than, the Prisoners’ Dilemma, it has been the subject of intense debate in the philosophical literature. After three decades, the issues remain (...)
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  16. John R. Cook (2005). Review of Doris Olin's Paradox. [REVIEW] Philosophy in Review (6):422-424.
    Doris Olin's Paradox is a very helpful book for those who want to be introduced to the philosophical treatment of paradoxes, or for those who already have knowledge of the general area and would like to have a helpful resource book.
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  17. William Lane Craig (1987). Divine Foreknowledge and Newcomb's Paradox. Philosophia 17 (3):331-350.
    Newcomb's Paradox thus serves as an illustrative vindication of the compatibility of divine foreknowledge and human freedom. A proper understanding of the counterfactual conditionals involved enables us to see that the pastness of God's knowledge serves neither to make God's beliefs counterfactually closed nor to rob us of genuine freedom. It is evident that our decisions determine God's past beliefs about those decisions and do so without invoking an objectionable backward causation. It is also clear that in the context of (...)
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  18. Raymond Dacey, Richard E. Simmons, David J. Curry & John W. Kennelly (1977). A Cognitivist Solution to Newcomb's Problem. American Philosophical Quarterly 14 (1):79 - 84.
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  19. R. Lance Factor (1978). Newcomb's Paradox and Omniscience. International Journal for Philosophy of Religion 9 (1):30 - 40.
  20. Arthur E. Falk (1985). Ifs and Newcombs. Canadian Journal of Philosophy 15 (3):449 - 481.
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  21. Branden Fitelson, Comments on Presting's “Computability and Newcomb's Problem”.
    • What’s essential to Newcomb’s problem? 1. You must choose between two particular acts: A1 = you take just the opaque box; A2 = you take both boxes, where the two states of nature are: S 1 = there’s $1M in the opaque box, S2 = there’s $0 in the opaque box.
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  22. André Gallois (1981). Locke on Causation, Compatibilism and Newcomb's Problem. Analysis 41 (1):42 - 46.
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  23. André Gallois (1979). How Not to Make a Newcomb Choice. Analysis 39 (1):49 - 53.
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  24. David Gauthier (1988). In the Neighbourhood of the Newcomb-Predictor (Reflections on Rationality). Proceedings of the Aristotelian Society 89:179 - 194.
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  25. Terence Horgan (1981). Counterfactuals and Newcomb's Problem. Journal of Philosophy 78 (6):331-356.
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  26. James R. Horne (1983). Newcomb's Problem as a Theistic Problem. International Journal for Philosophy of Religion 14 (4):217 - 223.
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  27. Paul Horwich (1985). Decision Theory in Light of Newcomb's Problem. Philosophy of Science 52 (3):431-450.
    Should we act only for the sake of what we might bring about (causal decision theory); or is it enough for a decent motive that our action is highly correlated with something desirable (evidential decision theory)? The conflict between these points of view is embodied in Newcomb's problem. It is argued here that intuitive evidence from familiar decision contexts does not enable us to settle the issue, since the two theories dictate the same results in normal circumstances. Nevertheless, there are (...)
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  28. Don Hubin & Glenn Ross (1985). Newcomb's Perfect Predictor. Noûs 19 (3):439-446.
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  29. James L. Hudson (1979). Schlesinger on the Newcomb Problem. Australasian Journal of Philosophy 57 (2):145 – 156.
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  30. Daniel Hunter & Reed Richter (1978). Counterfactuals and Newcomb's Paradox. Synthese 39 (2):249 - 261.
    In their development of causal decision theory, Allan Gibbard and William Harper advocate a particular method for calculating the expected utility of an action, a method based upon the probabilities of certain counterfactuals. Gibbard and Harper then employ their method to support a two-box solution to Newcomb’s paradox. This paper argues against some of Gibbard and Harper’s key claims concerning the truth-values and probabilities of counterfactuals involved in expected utility calculations, thereby disputing their analysis of Newcomb’s Paradox. If we are (...)
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  31. S. L. Hurley (1994). A New Take From Nozick on Newcomb's Problem and Prisoners' Dilemma. Analysis 54 (2):65 - 72.
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  32. S. L. Hurley (1991). Newcomb's Problem, Prisoners' Dilemma, and Collective Action. Synthese 86 (2):173 - 196.
    Among various cases that equally admit of evidentialist reasoning, the supposedly evidentialist solution has varying degrees of intuitive attractiveness. I suggest that cooperative reasoning may account for the appeal of apparently evidentialist behavior in the cases in which it is intuitively attractive, while the inapplicability of cooperative reasoning may account for the unattractiveness of evidentialist behaviour in other cases. A collective causal power with respect to agreed outcomes, not evidentialist reasoning, makes cooperation attractive in the Prisoners' Dilemma. And a natural (...)
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  33. A. D. Irvine (1993). How Braess' Paradox Solves Newcomb's Problem. International Studies in the Philosophy of Science 7 (2):141 – 160.
    Abstract Newcomb's problem is regularly described as a problem arising from equally defensible yet contradictory models of rationality. Braess? paradox is regularly described as nothing more than the existence of non?intuitive (but ultimately non?contradictory) equilibrium points within physical networks of various kinds. Yet it can be shown that Newcomb's problem is structurally identical to Braess? paradox. Both are instances of a well?known result in game theory, namely that equilibria of non?cooperative games are generally Pareto?inefficient. Newcomb's problem is simply a limiting (...)
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  34. James M. Joyce (2007). Are Newcomb Problems Really Decisions? Synthese 156 (3):537 - 562.
    Richard Jeffrey long held that decision theory should be formulated without recourse to explicitly causal notions. Newcomb problems stand out as putative counterexamples to this ‘evidential’ decision theory. Jeffrey initially sought to defuse Newcomb problems via recourse to the doctrine of ratificationism, but later came to see this as problematic. We will see that Jeffrey’s worries about ratificationism were not compelling, but that valid ratificationist arguments implicitly presuppose causal decision theory. In later work, Jeffrey argued that Newcomb problems are not (...)
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  35. Gregory S. Kavka (1980). What Is Newcomb's Problem About? American Philosophical Quarterly 17 (4):271 - 280.
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  36. Stephen Leeds (1984). Eells and Jeffrey on Newcomb's Problem. Philosophical Studies 46 (1):97 - 107.
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  37. John Leslie (1991). Ensuring Two Bird Deaths with One Throw. Mind 100 (1):73-86.
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  38. David Lewis (1981). `Why Ain'cha Rich?'. Noûs 15 (3):377-380.
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  39. David Lewis (1979). Prisoners' Dilemma is a Newcomb Problem. Philosophy and Public Affairs 8 (3):235-240.
  40. Don Locke (1979). Causation, Compatibilism and Newcomb's Problem. Analysis 39 (4):210 - 211.
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  41. Don Locke (1978). How to Make a Newcomb Choice. Analysis 38 (1):17 - 23.
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  42. J. L. Mackie (1977). Newcomb's Paradox and the Direction of Causation. Canadian Journal of Philosophy 7 (2):213 - 225.
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  43. Stephen Maitzen & Garnett Wilson (2003). Newcomb's Hidden Regress. Theory and Decision 54 (2):151-162.
    Newcomb's problem supposedly involves your choosing one or else two boxes in circumstances in which a predictor has made a prediction of how many boxes you will choose. We argue that the circumstances which allegedly define Newcomb's problem generate a previously unnoticed regress which shows that Newcomb's problem is insoluble because it is ill-formed. Those who favor, as we do, a ``no-box'' reply to Newcomb's problem typically claim either that the problem's solution is underdetermined or else that it is overdetermined. (...)
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  44. Louis Marinoff (1996). How Braess' Paradox Solves Newcomb's Problem: Not! International Studies in the Philosophy of Science 10 (3):217 – 237.
    Abstract In an engaging and ingenious paper, Irvine (1993) purports to show how the resolution of Braess? paradox can be applied to Newcomb's problem. To accomplish this end, Irvine forges three links. First, he couples Braess? paradox to the Cohen?Kelly queuing paradox. Second, he couples the Cohen?Kelly queuing paradox to the Prisoner's Dilemma (PD). Third, in accord with received literature, he couples the PD to Newcomb's problem itself. Claiming that the linked models are ?structurally identical?, he argues that Braess solves (...)
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  45. Phyllis McKay (2004). Newcomb's Problem: The Causalists Get Rich. Analysis 64 (2):187–189.
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  46. Christopher J. G. Meacham (2010). Binding and its Consequences. Philosophical Studies 149 (1):49-71.
    In “Bayesianism, Infinite Decisions, and Binding”, Arntzenius et al. (Mind 113:251–283, 2004 ) present cases in which agents who cannot bind themselves are driven by standard decision theory to choose sequences of actions with disastrous consequences. They defend standard decision theory by arguing that if a decision rule leads agents to disaster only when they cannot bind themselves, this should not be taken to be a mark against the decision rule. I show that this claim has surprising implications for a (...)
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  47. Doris Olin (1976). Newcomb's Problem: Further Investigations. American Philosophical Quarterly 13 (2):129 - 133.
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  48. Philip Pettit (1988). The Prisoner's Dilemma is an Unexploitable Newcomb Problem. Synthese 76 (1):123 - 134.
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