Results for 'Decision'

962 found
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  1. Evidential Decision Theory and the Ostrich.Yoaav Isaacs & Ben Levinstein - 2024 - Philosophers' Imprint 24 (1).
    Evidential Decision Theory is flawed, but its flaws are not fully understood. David Lewis (1981) famously charged that EDT recommends an irrational policy of managing the news and “commends the ostrich as rational”. Lewis was right, but the case he appealed to—Newcomb’s Problem—does not demonstrate his conclusion. Indeed, decision theories other than EDT, such as Committal Decision Theory and Functional Decision Theory, agree with EDT's verdicts in Newcomb’s Problem, but their flaws, whatever they may be, do (...)
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  2. 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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  3. Decision-Theoretic Consequentialism and the Desire-Luck Problem.Sahar Heydari Fard - 2018 - Journal of Cognition and Neuroethics 5 (1):1-14.
    Jackson (1991) proposes an interpretation of consequentialism, namely, the Decision Theoretic Consequentialism (DTC), which provides a middle ground between internal and external criteria of rightness inspired by decision theory. According to DTC, a right decision either leads to the best outcomes (external element) or springs from right motivations (internal element). He raises an objection to fully external interpretations, like objective consequentialism (OC), which he claims that DTC can resolve. He argues that those interpretations are either too objective, (...)
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  4. Decision and foreknowledge.J. Dmitri Gallow - 2024 - Noûs 58 (1):77-105.
    My topic is how to make decisions when you possess foreknowledge of the consequences of your choice. Many have thought that these kinds of decisions pose a distinctive and novel problem for causal decision theory (CDT). My thesis is that foreknowledge poses no new problems for CDT. Some of the purported problems are not problems. Others are problems, but they are not problems for CDT. Rather, they are problems for our theories of subjunctive supposition. Others are problems, but they (...)
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  5. Structuring Decisions Under Deep Uncertainty.Casey Helgeson - 2020 - Topoi 39 (2):257-269.
    Innovative research on decision making under ‘deep uncertainty’ is underway in applied fields such as engineering and operational research, largely outside the view of normative theorists grounded in decision theory. Applied methods and tools for decision support under deep uncertainty go beyond standard decision theory in the attention that they give to the structuring of decisions. Decision structuring is an important part of a broader philosophy of managing uncertainty in decision making, and normative (...) theorists can both learn from, and contribute to, the growing deep uncertainty decision support literature. (shrink)
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  6. 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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  7. Decision Theory.Lara Buchak - 2016 - In Alan Hájek & Christopher Hitchcock (eds.), The Oxford Handbook of Probability and Philosophy. Oxford: 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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  8. Decision, causality, and predetermination.Boris Kment - 2023 - Philosophy and Phenomenological Research 107 (3):638-670.
    Evidential decision theory (EDT) says that the choiceworthiness of an option depends on its evidential connections to possible outcomes. Causal decision theory (CDT) holds that it depends on your beliefs about its causal connections. While Newcomb cases support CDT, Arif Ahmed has described examples that support EDT. A new account is needed to get all cases right. I argue that an option A's choiceworthiness is determined by the probability that a good outcome ensues at possible A‐worlds that match (...)
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  9. Why Decision-making Capacity Matters.Ben Schwan - 2021 - Journal of Moral Philosophy 19 (5):447-473.
    Decision-making Capacity matters to whether a patient’s decision should determine her treatment. But why it matters in this way isn’t clear. The standard story is that dmc matters because autonomy matters. And this is thought to justify dmc as a gatekeeper for autonomy – whereby autonomy concerns arise if but only if a patient has dmc. But appeals to autonomy invoke two distinct concerns: concern for authenticity – concern that a choice is consistent with an individual’s commitments; and (...)
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  10. Counterfactual Decision Theory.Brian Hedden - 2023 - Mind 132 (527):730-761.
    I defend counterfactual decision theory, which says that you should evaluate an action in terms of which outcomes would likely obtain were you to perform it. Counterfactual decision theory has traditionally been subsumed under causal decision theory as a particular formulation of the latter. This is a mistake. Counterfactual decision theory is importantly different from, and superior to, causal decision theory, properly so called. Causation and counterfactuals come apart in three kinds of cases. In cases (...)
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  11. Tournament decision theory.Abelard Podgorski - 2020 - Noûs 56 (1):176-203.
    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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  12. Embodied Decisions and the Predictive Brain.Christopher Burr - 2017 - Philosophy and Predictive Processing.
    A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an alternative perspective (...)
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  13. Ditching Decision-Making Capacity.Daniel Fogal & Ben Schwan - forthcoming - Journal of Medical Ethics.
    Decision-making capacity (DMC) plays an important role in clinical practice—determining, on the basis of a patient’s decisional abilities, whether they are entitled to make their own medical decisions or whether a surrogate must be secured to participate in decisions on their behalf. As a result, it’s critical that we get things right—that our conceptual framework be well-suited to the task of helping practitioners systematically sort through the relevant ethical considerations in a way that reliably and transparently delivers correct verdicts (...)
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  14. Ethical Decision Making in Organizations: The Role of Leadership Stress.Marcus Selart & Svein Tvedt Johansen - 2011 - Journal of Business Ethics 99 (2):129 - 143.
    Across two studies the hypotheses were tested that stressful situations affect both leadership ethical acting and leaders' recognition of ethical dilemmas. In the studies, decision makers recruited from 3 sites of a Swedish multinational civil engineering company provided personal data on stressful situations, made ethical decisions, and answered to stress-outcome questions. Stressful situations were observed to have a greater impact on ethical acting than on the recognition of ethical dilemmas. This was particularly true for situations involving punishment and lack (...)
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  15. A Decision-Making Approach Incorporating TODIM Method and Sine Entropy in q-Rung Picture Fuzzy Set Setting.Büşra Aydoğan, Murat Olgun, Florentin Smarandache & Mehmet Ünver - 2024 - Journal of Applied Mathematics 2024.
    In this study, we propose a new approach based on fuzzy TODIM (Portuguese acronym for interactive and multicriteria decision-making) for decision-making problems in uncertain environments. Our method incorporates group utility and individual regret, which are often ignored in traditional multicriteria decision-making (MCDM) methods. To enhance the analysis and application of fuzzy sets in decision-making processes, we introduce novel entropy and distance measures for q-rung picture fuzzy sets. These measures include an entropy measure based on the sine (...)
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  16. Decision theory and de minimis risk.Martin Smith - 2024 - Erkenntnis 89 (6):2169-2192.
    A de minimis risk is defined as a risk that is so small that it may be legitimately ignored when making a decision. While ignoring small risks is common in our day-to-day decision making, attempts to introduce the notion of a de minimis risk into the framework of decision theory have run up against a series of well-known difficulties. In this paper, I will develop an enriched decision theoretic framework that is capable of overcoming two major (...)
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  17. Causal decision theory, context, and determinism.Calum McNamara - 2024 - Philosophy and Phenomenological Research 109 (1):226-260.
    The classic formulation of causal decision theory (CDT) appeals to counterfactuals. It says that you should aim to choose an option that would have a good outcome, were you to choose it. However, this version of CDT faces trouble if the laws of nature are deterministic. After all, the standard theory of counterfactuals says that, if the laws are deterministic, then if anything—including the choice you make—were different in the present, either the laws would be violated or the distant (...)
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  18. Decision making in the face of parity.Miriam Schoenfield - 2014 - Philosophical Perspectives 28 (1):263-277.
    Abstract: This paper defends a constraint that any satisfactory decision theory must satisfy. I show how this constraint is violated by all of the decision theories that have been endorsed in the literature that are designed to deal with cases in which opinions or values are represented by a set of functions rather than a single one. Such a decision theory is necessary to account for the existence of what Ruth Chang has called “parity” (as well as (...)
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  19. Supported Decision-Making: Non-Domination Rather than Mental Prosthesis.Allison M. McCarthy & Dana Howard - 2023 - American Journal of Bioethics Neuroscience 14 (3):227-237.
    Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that supported decision-making (...)
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  20. Decision support systems and its role in developing the universities strategic management: Islamic university in Gaza as a case study.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Advanced Research and Development 1 (10):33-47.
    This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in (...)
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  21.  86
    An Interdisciplinary Analysis of Decision Variability and the Illusion of Free Will.Christian Ekstrand - manuscript
    We demonstrate how Darwinian evolution enhances decision-making via experiential learning and game-theoretical strategies. To an external observer, the resultant moderate intra-individual variability is indistinguishable from free will. We conclude that this evolutionary outcome is the simplest explanation for decision-making, thus being preferable according to Occam's razor, and implying that free will is an illusion. Furthermore, we argue that the perception of free will exists due to evolutionary benefits.
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  22. 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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  23. Decisions, Uncertainty, and the Brain.Adam Morton - 2005 - Mind 114 (455):737-739.
    I consider Glimcher's claim to have given an account of mental functioning that is at once neurological and decision-theoretical. I am skeptical, but remark on some good ideas of Glimcher's.
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  24. The Causal Decision Theorist's Guide to Managing the News.J. Dmitri Gallow - 2020 - Journal of Philosophy 117 (3):117-149.
    According to orthodox causal decision theory, performing an action can give you information about factors outside of your control, but you should not take this information into account when deciding what to do. Causal decision theorists caution against an irrational policy of 'managing the news'. But, by providing information about factors outside of your control, performing an act can give you two, importantly different, kinds of good news. It can tell you that the world in which you find (...)
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  25. Decision-Making Under Indeterminacy.J. Robert G. Williams - 2014 - Philosophers' Imprint 14.
    Decisions are made under uncertainty when there are distinct outcomes of a given action, and one is uncertain to which the act will lead. Decisions are made under indeterminacy when there are distinct outcomes of a given action, and it is indeterminate to which the act will lead. This paper develops a theory of (synchronic and diachronic) decision-making under indeterminacy that portrays the rational response to such situations as inconstant. Rational agents have to capriciously and randomly choose how to (...)
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  26. Wishing, Decision Theory, and Two-Dimensional Content.Kyle Blumberg - 2023 - Journal of Philosophy 120 (2):61-93.
    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, such as 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 (...)
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  27. What Aristotelian Decisions Cannot Be.Jozef Müller - 2016 - Ancient Philosophy 36 (1):173-195.
    I argue that Aristotelian decisions (προαιρέσεις) cannot be conceived of as based solely on wish (βούλησις) and deliberation (βούλευσις), as the standard picture (most influentially argued for in Anscombe's "Thought and Action in Aristotle", in R. Bambrough ed. New Essays on Plato and Aristotle. London: Routledge, 1965) suggests. Although some features of the standard view are correct (such as that decisions have essential connection to deliberation and that wish always plays a crucial role in the formation of a decision), (...)
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  28. Shared decision-making in maternity care: Acknowledging and overcoming epistemic defeaters.Keith Begley, Deirdre Daly, Sunita Panda & Cecily Begley - 2019 - Journal of Evaluation in Clinical Practice 25 (6):1113–1120.
    Shared decision-making involves health professionals and patients/clients working together to achieve true person-centred health care. However, this goal is infrequently realized, and most barriers are unknown. Discussion between philosophers, clinicians, and researchers can assist in confronting the epistemic and moral basis of health care, with benefits to all. The aim of this paper is to describe what shared decision-making is, discuss its necessary conditions, and develop a definition that can be used in practice to support excellence in maternity (...)
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  29. 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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  30. 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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  31. Making decisions about the future: Regret and the cognitive function of episodic memory.Christoph Hoerl & Teresa McCormack - 2016 - In Kourken Michaelian, Stanley B. Klein & Karl K. Szpunar (eds.), Seeing the Future: Theoretical Perspectives on Future-Oriented Mental Time Travel. New York, NY: Oxford University Press. pp. 241-266.
    In the recent literature on episodic memory, there has been increasing recognition of the need to provide an account of its adaptive function. In this context, it is sometimes argued that episodic memory is critical for certain forms of decision making about the future. We criticize existing accounts that try to give episodic memory a role in decision making, before giving a novel such account of our own. This turns on the thought of a link between episodic memory (...)
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  32.  57
    Decision-Making Capacity and Authenticity.Tim Aylsworth & Jake Greenblum - 2024 - Journal of Bioethical Inquiry 21 (3):1-9.
    There is wide consensus among bioethicists about the importance of autonomy when determining whether or not a patient has the right to refuse life-saving treatment (LST). In this context, autonomy has typically been understood in terms of the patient’s ability to make an informed decision. According to the traditional view, decision-making capacity (DMC) is seen as both necessary and sufficient for the right to refuse LST. Recently, this view has been challenged by those who think that considerations of (...)
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  33. Counterfactual Decision Theory Is Causal Decision Theory.J. Dmitri Gallow - 2024 - Pacific Philosophical Quarterly 105 (1):115-156.
    The role of causation and counterfactuals in causal decision theory is vexed and disputed. Recently, Brian Hedden (2023) argues that we should abandon causal decision theory in favour of an alternative: counterfactual decision theory. I argue that, pace Hedden, counterfactual decision theory is not a competitor to, but rather a version of, causal decision theory – the most popular version by far. I provide textual evidence that the founding fathers of causal decision theory (Stalnaker, (...)
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  34. 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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  35. Decisions, Diachronic Autonomy, and the Division of Deliberative Labor.Luca Ferrero - 2010 - Philosophers' Imprint 10:1-23.
    It is often argued that future-directed decisions are effective at shaping our future conduct because they give rise, at the time of action, to a decisive reason to act as originally decided. In this paper, I argue that standard accounts of decision-based reasons are unsatisfactory. For they focus either on tie-breaking scenarios or cases of self-directed distal manipulation. I argue that future-directed decisions are better understood as tools for the non-manipulative, intrapersonal division of deliberative labor over time. A future-directed (...)
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  36. Interpolating Decisions.Jonathan Cohen & Elliott Sober - 2023 - Australasian Journal of Philosophy 101 (2):327-339.
    Decision theory requires agents to assign probabilities to states of the world and utilities to the possible outcomes of different actions. When agents commit to having the probabilities and/or utilities in a decision problem defined by objective features of the world, they may find themselves unable to decide which actions maximize expected utility. Decision theory has long recognized that work-around strategies are available in special cases; this is where dominance reasoning, minimax, and maximin play a role. Here (...)
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  37. Surreal Decisions.Eddy Keming Chen & Daniel Rubio - 2020 - Philosophy and Phenomenological Research 100 (1):54-74.
    Although expected utility theory has proven a fruitful and elegant theory in the finite realm, attempts to generalize it to infinite values have resulted in many paradoxes. In this paper, we argue that the use of John Conway's surreal numbers shall provide a firm mathematical foundation for transfinite decision theory. To that end, we prove a surreal representation theorem and show that our surreal decision theory respects dominance reasoning even in the case of infinite values. We then bring (...)
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  38. 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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  39. Decision Theory, Philosophical Perspectives.Darren Bradley - 2009 - 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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  40. Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters.Keith Begley, Cecily Begley & Valerie Smith - 2021 - Journal of Evaluation in Clinical Practice 27 (3):497–503.
    In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds in (...)
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  41. Decision under normative uncertainty.Franz Dietrich & Brian Jabarian - 2022 - Economics and Philosophy 38 (3):372-394.
    While ordinary decision theory focuses on empirical uncertainty, real decision-makers also face normative uncertainty: uncertainty about value itself. From a purely formal perspective, normative uncertainty is comparable to (Harsanyian or Rawlsian) identity uncertainty in the 'original position', where one's future values are unknown. A comprehensive decision theory must address twofold uncertainty -- normative and empirical. We present a simple model of twofold uncertainty, and show that the most popular decision principle -- maximising expected value (`Expectationalism') -- (...)
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  42.  53
    Algorithmic Decision-Making, Agency Costs, and Institution-Based Trust.Keith Dowding & Brad R. Taylor - 2024 - Philosophy and Technology 37 (2):1-22.
    Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust algorithmic agents (...)
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  43. Decision Procedures, Moral Criteria, and the Problem of Relevant Descriptions in Kant's Ethics.Mark Timmons - 1994 - In B. Sharon Byrd, Joachim Hruschka & Jan C. Joerdan (eds.), Jahrbuck fur Recht und Ethik (Annual for Law and Ethics). 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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  44. 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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  45. Multi criteria decision making using correlation coefficient under rough neutrosophic environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:29-38.
    In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.
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  46. Law, Decision, Necessity: Shifting the Burden of Responsibility.Johanna Jacques - 2015 - In Matilda Arvidsson, Leila Brännström & Panu Minkkinen (eds.), The Contemporary Relevance of Carl Schmitt: Law, Politics, Theology. New York, NY: Routledge. pp. 107-119.
    What does it mean to act politically? This paper contributes an answer to this question by looking at the role that necessity plays in the political theory of Carl Schmitt. It argues that necessity, whether in the form of existential danger or absolute values, does not affect the sovereign decision, which must be free from normative determinations if it is to be a decision in Schmitt’s sense at all. The paper then provides a reading of Schmitt in line (...)
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  47. Clinical Decisions Using AI Must Consider Patient Values.Jonathan Birch, Kathleen A. Creel, Abhinav K. Jha & Anya Plutynski - 2022 - Nature Medicine 28:229–232.
    Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.
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  48. (1 other version)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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  49. Law-Abiding Causal Decision Theory.Timothy Luke Williamson & Alexander Sandgren - 2023 - British Journal for the Philosophy of Science 74 (4):899-920.
    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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  50. Algorithmic decision-making: the right to explanation and the significance of stakes.Lauritz Munch, Jens Christian Bjerring & Jakob Mainz - forthcoming - Big Data and Society.
    The stakes associated with an algorithmic decision are often said to play a role in determining whether the decision engenders a right to an explanation. More specifically, “high stakes” decisions are often said to engender such a right to explanation whereas “low stakes” or “non-high” stakes decisions do not. While the overall gist of these ideas is clear enough, the details are lacking. In this paper, we aim to provide these details through a detailed investigation of what we (...)
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