Results for 'decision theory, descriptive'

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  1. Decision Theory.Lara Buchak - 2016 - In Christopher Hitchcock & Alan Hajek (eds.), The Oxford Handbook of Probability and Philosophy. Oxford University Press.
    Decision theory has at its core a set of mathematical theorems that connect rational preferences to functions with certain structural properties. The components of these theorems, as well as their bearing on questions surrounding rationality, can be interpreted in a variety of ways. Philosophy’s current interest in decision theory represents a convergence of two very different lines of thought, one concerned with the question of how one ought to act, and the other concerned with the question of what (...)
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  2.  63
    Wishing, Decision Theory, and Two-Dimensional Content.Kyle H. Blumberg - forthcoming - Journal of Philosophy.
    This paper is about two requirements on wish reports whose interaction motivates a novel semantics for these ascriptions. The first requirement concerns the ambiguities that arise when determiner phrases, e.g. definite descriptions, interact with `wish'. More specifically, several theorists have recently argued that attitude ascriptions featuring counterfactual attitude verbs license interpretations on which the determiner phrase is interpreted relative to the subject's beliefs. The second requirement involves the fact that desire reports in general require decision-theoretic notions for their analysis. (...)
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  3. Law-Abiding Causal Decision Theory.Timothy Luke Williamson & Alexander Sandgren - forthcoming - British Journal for the Philosophy of Science.
    In this paper we discuss how Causal Decision Theory should be modified to handle a class of problematic cases involving deterministic laws. Causal Decision Theory, as it stands, is problematically biased against your endorsing deterministic propositions (for example it tells you to deny Newtonian physics, regardless of how confident you are of its truth). Our response is that this is not a problem for Causal Decision Theory per se, but arises because of the standard method for assessing (...)
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  4. Decision Procedures, Moral Criteria, and the Problem of Relevant Descriptions in Kant's Ethics.Mark Timmons - 1997 - In B. Sharon Byrd, Joachim Hruschka & Jan C. Joerdan (eds.), Jahrbuch Für Recht Und Ethik. Duncker Und Humblot.
    I argue that the Universal Law formulation of the Categorical Imperative is best interpreted as a test or decision procedure of moral rightness and not as a criterion intended to explain the deontic status of actions. Rather, the Humanity formulation is best interpreted as a moral criterion. I also argue that because the role of a moral criterion is to explain, and thus specify what makes an action right or wrong, Kant's Humanity formulation yields a theory of relevant descriptions.
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  5. Embodied Decisions and the Predictive Brain.Christopher Burr - 2016 - Dissertation, University of Bristol
    Decision-making has traditionally been modelled as a serial process, consisting of a number of distinct stages. The traditional account assumes that an agent first acquires the necessary perceptual evidence, by constructing a detailed inner repre- sentation of the environment, in order to deliberate over a set of possible options. Next, the agent considers her goals and beliefs, and subsequently commits to the best possible course of action. This process then repeats once the agent has learned from the consequences of (...)
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  6. Neutral Theory, Biased World.William Bausman - 2016 - Dissertation, University of Minnesota
    The ecologist today finds scarce ground safe from controversy. Decisions must be made about what combination of data, goals, methods, and theories offers them the foundations and tools they need to construct and defend their research. When push comes to shove, ecologists often turn to philosophy to justify why it is their approach that is scientific. Karl Popper’s image of science as bold conjectures and heroic refutations is routinely enlisted to justify testing hypotheses over merely confirming them. One of the (...)
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  7. Causal Decision Theory: A Counterexample.Arif Ahmed - 2013 - Philosophical Review 122 (2):289-306.
    The essay presents a novel counterexample to Causal Decision Theory (CDT). Its interest is that it generates a case in which CDT violates the very principles that motivated it in the first place. The essay argues that the objection applies to all extant formulations of CDT and that the only way out for that theory is a modification of it that entails incompatibilism. The essay invites the reader to find this consequence of CDT a reason to reject it.
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  8. Causal Decision Theory and Decision Instability.Brad Armendt - 2019 - Journal of Philosophy 116 (5):263-277.
    The problem of the man who met death in Damascus appeared in the infancy of the theory of rational choice known as causal decision theory. A straightforward, unadorned version of causal decision theory is presented here and applied, along with Brian Skyrms’ deliberation dynamics, to Death in Damascus and similar problems. Decision instability is a fascinating topic, but not a source of difficulty for causal decision theory. Andy Egan’s purported counterexample to causal decision theory, Murder (...)
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  9. Tournament Decision Theory.Abelard Podgorski - forthcoming - Noûs.
    The dispute in philosophical decision theory between causalists and evidentialists remains unsettled. Many are attracted to the causal view’s endorsement of a species of dominance reasoning, and to the intuitive verdicts it gets on a range of cases with the structure of the infamous Newcomb’s Problem. But it also faces a rising wave of purported counterexamples and theoretical challenges. In this paper I will describe a novel decision theory which saves what is appealing about the causal view while (...)
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  10. Decision Theory for Agents with Incomplete Preferences.Adam Bales, Daniel Cohen & Toby Handfield - 2014 - Australasian Journal of Philosophy 92 (3):453-70.
    Orthodox decision theory gives no advice to agents who hold two goods to be incommensurate in value because such agents will have incomplete preferences. According to standard treatments, rationality requires complete preferences, so such agents are irrational. Experience shows, however, that incomplete preferences are ubiquitous in ordinary life. In this paper, we aim to do two things: (1) show that there is a good case for revising decision theory so as to allow it to apply non-vacuously to agents (...)
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  11. Ontological Theory for Ontological Engineering: Biomedical Systems Information Integration.James M. Fielding, Jonathan Simon, Werner Ceusters & Barry Smith - 2004 - In Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), Whistler, BC, 2-5 June 2004. AMIA. pp. 114–120.
    Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such navigation (...)
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  12. Decision Theory: Yes! Truth Conditions: No!Nate Charlow - 2016 - In Nate Charlow Matthew Chrisman (ed.), Deontic Modality. Oxford University Press.
    This essay makes the case for, in the phrase of Angelika Kratzer, packing the fruits of the study of rational decision-making into our semantics for deontic modals—specifically, for parametrizing the truth-condition of a deontic modal to things like decision problems and decision theories. Then it knocks it down. While the fundamental relation of the semantic theory must relate deontic modals to things like decision problems and theories, this semantic relation cannot be intelligibly understood as representing the (...)
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  13. What Does Decision Theory Have to Do with Wanting?Milo Phillips-Brown - 2021 - Mind 130 (518):413-437.
    Decision theory and folk psychology both purport to represent the same phenomena: our belief-like and desire- and preference-like states. They also purport to do the same work with these representations: explain and predict our actions. But they do so with different sets of concepts. There's much at stake in whether one of these two sets of concepts can be accounted for with the other. Without such an account, we'd have two competing representations and systems of prediction and explanation, a (...)
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  14. Duhemian Themes in Expected Utility Theory.Philippe Mongin - 2009 - In Anastasios Brenner and Jean Gayon (ed.), French Studies in the Philosophy of Science. Springer. pp. 303-357.
    This monographic chapter explains how expected utility (EU) theory arose in von Neumann and Morgenstern, how it was called into question by Allais and others, and how it gave way to non-EU theories, at least among the specialized quarters of decion theory. I organize the narrative around the idea that the successive theoretical moves amounted to resolving Duhem-Quine underdetermination problems, so they can be assessed in terms of the philosophical recommendations made to overcome these problems. I actually follow Duhem's recommendation, (...)
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  15. Bayesian Decision Theory and Stochastic Independence.Philippe Mongin - 2020 - Philosophy of Science 87 (1):152-178.
    As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect. Savage’s postulates on preferences under uncertainty entail a subjective expected utility representation, and this asserts only the existence and uniqueness of a subjective probability measure, regardless of its properties. What is missing is a preference condition corresponding to stochastic independence. To fill (...)
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  16. Normative Decision Theory.Edward Elliott - 2019 - Analysis 79 (4):755-772.
    A review of some major topics of debate in normative decision theory from circa 2007 to 2019. Topics discussed include the ongoing debate between causal and evidential decision theory, decision instability, risk-weighted expected utility theory, decision-making with incomplete preferences, and decision-making with imprecise credences.
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  17. Practical Implications of Empirically Studying Moral Decision-Making.Nora Heinzelmann, Giuseppe Ugazio & Philippe Tobler - 2012 - Frontiers in Neuroscience 6:94.
    This paper considers the practical question of why people do not behave in the way they ought to behave. This question is a practical one, reaching both into the normative and descriptive domains of morality. That is, it concerns moral norms as well as empirical facts. We argue that two main problems usually keep us form acting and judging in a morally decent way: firstly, we make mistakes in moral reasoning. Secondly, even when we know how to act and (...)
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  18. Epistemic Decision Theory's Reckoning.Conor Mayo-Wilson & Gregory Wheeler - manuscript
    Epistemic decision theory (EDT) employs the mathematical tools of rational choice theory to justify epistemic norms, including probabilism, conditionalization, and the Principal Principle, among others. Practitioners of EDT endorse two theses: (1) epistemic value is distinct from subjective preference, and (2) belief and epistemic value can be numerically quantified. We argue the first thesis, which we call epistemic puritanism, undermines the second.
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  19. An Argument Against Causal Decision Theory.Jack Spencer - 2021 - Analysis 81 (1):52-61.
    This paper develops an argument against causal decision theory. I formulate a principle of preference, which I call the Guaranteed Principle. I argue that the preferences of rational agents satisfy the Guaranteed Principle, that the preferences of agents who embody causal decision theory do not, and hence that causal decision theory is false.
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  20. Decision Theory.Johanna Thoma - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 57-106.
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  21. Bayesian Decision Theory and Stochastic Independence.Philippe Mongin - 2017 - TARK 2017.
    Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory. Bayesian decision theorists such as Savage can be criticized for being silent about stochastic independence. From their current preference axioms, they can derive no more than the definitional properties of a probability measure. In a new framework of twofold uncertainty, we introduce preference axioms that entail (...)
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  22. Decision Theory and Folk Psychology.Philip Pettit - 1991 - In Michael Bacharach & Susan Hurley (eds.), Essays in the Foundations of Decision Theory. Blackwell. pp. 147-175.
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  23. Causal Decision Theory and EPR Correlations.Arif Ahmed & Adam Caulton - 2014 - Synthese 191 (18):4315-4352.
    The paper argues that on three out of eight possible hypotheses about the EPR experiment we can construct novel and realistic decision problems on which (a) Causal Decision Theory and Evidential Decision Theory conflict (b) Causal Decision Theory and the EPR statistics conflict. We infer that anyone who fully accepts any of these three hypotheses has strong reasons to reject Causal Decision Theory. Finally, we extend the original construction to show that anyone who gives any (...)
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  24. Decision Theory, Intelligent Planning and Counterfactuals.Michael John Shaffer - 2008 - Minds and Machines 19 (1):61-92.
    The ontology of decision theory has been subject to considerable debate in the past, and discussion of just how we ought to view decision problems has revealed more than one interesting problem, as well as suggested some novel modifications of classical decision theory. In this paper it will be argued that Bayesian, or evidential, decision-theoretic characterizations of decision situations fail to adequately account for knowledge concerning the causal connections between acts, states, and outcomes in (...) situations, and so they are incomplete. Second, it will be argues that when we attempt to incorporate the knowledge of such causal connections into Bayesian decision theory, a substantial technical problem arises for which there is no currently available solution that does not suffer from some damning objection or other. From a broader perspective, this then throws into question the use of decision theory as a model of human or machine planning. (shrink)
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  25. Belief gambles in epistemic decision theory.Mattias Skipper - 2021 - Philosophical Studies 178 (2):407-426.
    Don’t form beliefs on the basis of coin flips or random guesses. More generally, don’t take belief gambles: if a proposition is no more likely to be true than false given your total body of evidence, don’t go ahead and believe that proposition. Few would deny this seemingly innocuous piece of epistemic advice. But what, exactly, is wrong with taking belief gambles? Philosophers have debated versions of this question at least since the classic dispute between William Clifford and William James (...)
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  26. Success-First Decision Theories.Preston Greene - 2018 - In Arif Ahmed (ed.), Newcomb's Problem. Cambridge University Press. pp. 115–137.
    The standard formulation of Newcomb's problem compares evidential and causal conceptions of expected utility, with those maximizing evidential expected utility tending to end up far richer. Thus, in a world in which agents face Newcomb problems, the evidential decision theorist might ask the causal decision theorist: "if you're so smart, why ain’cha rich?” Ultimately, however, the expected riches of evidential decision theorists in Newcomb problems do not vindicate their theory, because their success does not generalize. Consider a (...)
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  27. Transformative Experience and Decision Theory.Richard Pettigrew - 2015 - Philosophy and Phenomenological Research 91 (3):766-774.
    This paper is part of a book symposium for L. A. Paul (2014) Transformative Experience (OUP).
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  28. A Foundation for Causal Decision Theory.Brad Armendt - 1986 - Topoi 5 (1):3-19.
    The primary aim of this paper is the presentation of a foundation for causal decision theory. This is worth doing because causal decision theory (CDT) is philosophically the most adequate rational decision theory now available. I will not defend that claim here by elaborate comparison of the theory with all its competitors, but by providing the foundation. This puts the theory on an equal footing with competitors for which foundations have already been given. It turns out that (...)
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  29. Decision Theory, Symmetry and Causal Structure: Reply to Meacham and Weisberg.Michael Clark & Nicholas Shackel - 2003 - Mind 112 (448):691-701.
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  30. An Externalist Decision Theory for a Pragmatic Epistemology.Brian Kim - 2019 - In Pragmatic Encroachment in Epistemology. Routledge.
    In recent years, some epistemologists have argued that practical factors can make the difference between knowledge and mere true belief. While proponents of this pragmatic thesis have proposed necessary and sufficient conditions for knowledge, it is striking that they have failed to address Gettier cases. As a result, the proposed analyses of knowledge are either lacking explanatory power or susceptible to counterexamples. Gettier cases are also worth reflecting on because they raise foundational questions for the pragmatist. Underlying these challenges is (...)
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  31.  61
    A Time Traveler’s Note on Proper Names and Definite Descriptions.Xinyuan Gu - manuscript
    This essay aims to coherently introduce a four-dimensional view adapting to the three-spatial-plus-one- temporal-dimensions (3+1) physical world. To orient the discussions, the essay presents several central claims. First, the only description a proper name abbreviates is that of being called, yet a proper name is capable of bringing up the entire object from its birth to its end. Second, there is a crucial difference in the behaviors of proper names and definite descriptions. Third, a co-knowing state may be decisive in (...)
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  32. Advice for the Steady: Decision Theory and the Requirements of Instrumental Rationality.Johanna Thoma - 2017 - Dissertation,
    Standard decision theory, or rational choice theory, is often interpreted to be a theory of instrumental rationality. This dissertation argues, however, that the core requirements of orthodox decision theory cannot be defended as general requirements of instrumental rationality. Instead, I argue that these requirements can only be instrumentally justified to agents who have a desire to have choice dispositions that are stable over time and across different choice contexts. Past attempts at making instrumentalist arguments for the core requirements (...)
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  33. Conditionals in Causal Decision Theory.John Cantwell - 2013 - Synthese 190 (4):661-679.
    This paper explores the possibility that causal decision theory can be formulated in terms of probabilities of conditionals. It is argued that a generalized Stalnaker semantics in combination with an underlying branching time structure not only provides the basis for a plausible account of the semantics of indicative conditionals, but also that the resulting conditionals have properties that make them well-suited as a basis for formulating causal decision theory. Decision theory (at least if we omit the frills) (...)
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  34. Do We Really Need a Knowledge-Based Decision Theory?Davide Fassio & Jie Gao - 2021 - Synthese 199 (3-4):7031-7059.
    The paper investigates what type of motivation can be given for adopting a knowledge-based decision theory. KBDT seems to have several advantages over competing theories of rationality. It is commonly argued that this theory would naturally fit with the intuitive idea that being rational is doing what we take to be best given what we know, an idea often supported by appeal to ordinary folk appraisals. Moreover, KBDT seems to strike a perfect balance between the problematic extremes of subjectivist (...)
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  35. Risk Attitudes in Axiomatic Decision Theory: A Conceptual Perspective.Jean Baccelli - 2018 - Theory and Decision 84 (1):61-82.
    In this paper, I examine the decision-theoretic status of risk attitudes. I start by providing evidence showing that the risk attitude concepts do not play a major role in the axiomatic analysis of the classic models of decision-making under risk. This can be interpreted as reflecting the neutrality of these models between the possible risk attitudes. My central claim, however, is that such neutrality needs to be qualified and the axiomatic relevance of risk attitudes needs to be re-evaluated (...)
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  36. Decision Theory, Philosophical Perspectives.Darren Bradley - 2013 - In Hal Pashler (ed.), Encyclopedia of the Mind. Sage Publications.
    Decision theory is concerned with how agents should act when the consequences of their actions are uncertain. The central principle of contemporary decision theory is that the rational choice is the choice that maximizes subjective expected utility. This entry explains what this means, and discusses the philosophical motivations and consequences of the theory. The entry will consider some of the main problems and paradoxes that decision theory faces, and some of responses that can be given. Finally the (...)
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  37. Representation Theorems and the Foundations of Decision Theory.Christopher J. G. Meacham & Jonathan Weisberg - 2011 - Australasian Journal of Philosophy 89 (4):641 - 663.
    Representation theorems are often taken to provide the foundations for decision theory. First, they are taken to characterize degrees of belief and utilities. Second, they are taken to justify two fundamental rules of rationality: that we should have probabilistic degrees of belief and that we should act as expected utility maximizers. We argue that representation theorems cannot serve either of these foundational purposes, and that recent attempts to defend the foundational importance of representation theorems are unsuccessful. As a result, (...)
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  38. What Decision Theory Provides the Best Procedure for Identifying the Best Action Available to a Given Artificially Intelligent System?Samuel A. Barnett - 2018 - Dissertation, University of Oxford
    Decision theory has had a long-standing history in the behavioural and social sciences as a tool for constructing good approximations of human behaviour. Yet as artificially intelligent systems (AIs) grow in intellectual capacity and eventually outpace humans, decision theory becomes evermore important as a model of AI behaviour. What sort of decision procedure might an AI employ? In this work, I propose that policy-based causal decision theory (PCDT), which places a primacy on the decision-relevance of (...)
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  39. A Simpler and More Realistic Subjective Decision Theory.Haim Gaifman & Yang Liu - 2018 - Synthese 195 (10):4205--4241.
    In his classic book “the Foundations of Statistics” Savage developed a formal system of rational decision making. The system is based on (i) a set of possible states of the world, (ii) a set of consequences, (iii) a set of acts, which are functions from states to consequences, and (iv) a preference relation over the acts, which represents the preferences of an idealized rational agent. The goal and the culmination of the enterprise is a representation theorem: Any preference relation (...)
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  40. A First-Person Theory of Documentation.Tim Gorichanaz - 2019 - Journal of Documentation 75 (1):190-212.
    Purpose To first articulate and then illustrate a descriptive theoretical model of documentation (i.e., document creation) suitable for analysis of the experiential, first-person perspective. Design/methodology/approach Three models of documentation in the literature are presented and synthesized into a new model. This model is then used to understand the findings from a phenomenology-of-practice study of the work of seven visual artists as they each created a self-portrait, understood here as a form of documentation. Findings A number of themes are found (...)
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  41. Experimental Knowledge and the Theory of Producing It: Hermann von Helmholtz.Gregor Schiemann - 2008 - In U. Feest & G. Hon (eds.), Generating Experimental Knowledge. Max Planck Institute for the History of Science.
    Helmholtz's public reflection about the nature of the experiment and its role in the sciences is a historically important description, which also helps to analyze his own works. It is a part of his conception of science and nature, which can be seen as an ideal type of science and its goals. But its historical reach seems to be limited in an important respect. Helmholtz's understanding of experiments is based on the idea that their planning, realization and evaluation lies in (...)
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  42. Exceeding Expectations: Stochastic Dominance as a General Decision Theory.Christian Tarsney - manuscript
    The principle that rational agents should maximize expected utility or choiceworthiness is intuitively plausible in many ordinary cases of decision-making under uncertainty. But it is less plausible in cases of extreme, low-probability risk (like Pascal's Mugging), and intolerably paradoxical in cases like the St. Petersburg and Pasadena games. In this paper I show that, under certain conditions, stochastic dominance reasoning can capture most of the plausible implications of expectational reasoning while avoiding most of its pitfalls. Specifically, given sufficient background (...)
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  43. Egan and Agents: How Evidential Decision Theory Can Deal with Egan’s Dilemma.Daniel Dohrn - 2015 - Synthese 192 (6):1883-1908.
    Andy Egan has presented a dilemma for decision theory. As is well known, Newcomb cases appear to undermine the case for evidential decision theory. However, Egan has come up with a new scenario which poses difficulties for causal decision theory. I offer a simple solution to this dilemma in terms of a modified EDT. I propose an epistemological test: take some feature which is relevant to your evaluation of the scenarios under consideration, evidentially correlated with the actions (...)
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  44. Overdetermination in Intuitive Causal Decision Theory.Esteban Céspedes - 2013 - In Miguel Hoeltje, Thomas Spitzley & Wolfgang Spohn (eds.), Was dürfen wir glauben? Was sollen wir tun? Sektionsbeiträge des achten internationalen Kongresses der Gesellschaft für Analytische Philosophie e.V.
    Causal decision theory defines a rational action as the one that tends to cause the best outcomes. If we adopt counterfactual or probabilistic theories of causation, then we may face problems in overdetermination cases. Do such problems affect Causal decision theory? The aim of this work is to show that the concept of causation that has been fundamental in all versions of causal decision theory is not the most intuitive one. Since overdetermination poses problems for a counterfactual (...)
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  45. Authenticity in Bioethics: Bridging the Gap Between Theory and Practice.Jesper Ahlin Marceta - 2019 - Dissertation, KTH Royal Institute of Technology
    The aim of this doctoral thesis is to bridge the gap between theoretical ideals of authenticity and practical authenticity-related problems in healthcare. In this context, authenticity means being "genuine," "real," "true to oneself," or similar, and is assumed to be closely connected to the autonomy of persons. The thesis includes an introduction and four articles related to authenticity. The first article collects various theories intended to explain the distinction between authenticity and inauthenticity in a taxonomy that enables oversight and analysis. (...)
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  46. Decision Theory.Ben Eggleston - 2017 - In Sacha Golub & Jens Timmermann (eds.), The Cambridge History of Moral Philosophy. pp. 706-717.
    A book chapter (about 4,000 words, plus references) on decision theory in moral philosophy, with particular attention to uses of decision theory in specifying the contents of moral principles (e.g., expected-value forms of act and rule utilitarianism), uses of decision theory in arguing in support of moral principles (e.g., the hypothetical-choice arguments of Harsanyi and Rawls), and attempts to derive morality from rationality (e.g., the views of Gauthier and McClennen).
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  47. Thick Description: Towards an Interpretive Theory of Culture.Clifford Geertz - 1973 - In The Interpretation of Cultures. Basic Books.
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  48.  90
    Moral Hazard, the Savage Framework, and State-Dependent Utility.Jean Baccelli - 2021 - Erkenntnis 86 (2):367-387.
    In this paper, I investigate the betting behavior of a decision-maker who can influence the likelihood of the events upon which she is betting. In decision theory, this is best known as a situation of moral hazard. Focusing on a particularly simple case, I sketch the first systematic analysis of moral hazard in the canonical Savage framework. From the results of this analysis, I draw two philosophical conclusions. First, from an observational and a descriptive point of view, (...)
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  49. Fundamental Measurements in Economics and in the Theory of Consciousness (Manifestation of Quantum-Mechanical Properties of Economic Objects in Slit Measurements).I. G. Tuluzov & S. I. Melnyk - manuscript
    A new constructivist approach to modeling in economics and theory of consciousness is proposed. The state of elementary object is defined as a set of its measurable consumer properties. A proprietor's refusal or consent for the offered transaction is considered as a result of elementary economic measurement. We were also able to obtain the classical interpretation of the quantum-mechanical law of addition of probabilities by introducing a number of new notions. The principle of “local equity” assumes the transaction completed (regardless (...)
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  50. Mixed Strategies and Ratifiability in Causal Decision Theory.William Harper - 1986 - Erkenntnis 24 (1):25 - 36.
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