Results for 'Cognitive heuristics'

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  1.  38
    Cognitive Heuristics for Commonsense Thinking and Reasoning in the Next Generation Artificial Intelligence.Antonio Lieto - 2021 - SRM ACM Student Chapters.
    Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this talk, we discuss the different paradigms that have been developed in AI and Computational Cognitive Science to deal with this problem (ranging from logic-based methods, to diagrammatic-based ones). In particular, we discuss - via two different case studies concerning commonsense categorization and (...)
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  2. A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics.Antonio Lieto & Gian Luca Pozzato - 2019 - Journal of Experimental and Theoretical Artificial Intelligence:1-39.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of (...)
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  3. Subjective Moral Biases & Fallacies: Developing Scientifically & Practically Adequate Moral Analogues of Cognitive Heuristics & Biases.Mark H. Herman - 2019 - Dissertation, Bowling Green State University
    In this dissertation, I construct scientifically and practically adequate moral analogs of cognitive heuristics and biases. Cognitive heuristics are reasoning “shortcuts” that are efficient but flawed. Such flaws yield systematic judgment errors—i.e., cognitive biases. For example, the availability heuristic infers an event’s probability by seeing how easy it is to recall similar events. Since dramatic events, such as airplane crashes, are disproportionately easy to recall, this heuristic explains systematic overestimations of their probability (availability bias). The (...)
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  4. Intractability and the Use of Heuristics in Psychological Explanations.Iris Rooij, Cory Wright & Todd Wareham - 2012 - Synthese 187 (2):471-487.
    Many cognitive scientists, having discovered that some computational-level characterization f of a cognitive capacity φ is intractable, invoke heuristics as algorithmic-level explanations of how cognizers compute f. We argue that such explanations are actually dysfunctional, and rebut five possible objections. We then propose computational-level theory revision as a principled and workable alternative.
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  5. On the Cognitive Bases of Knowledge Ascriptions.Mikkel Gerken - 2012 - In Jessica Brown & Mikkel Gerken (eds.), Knowledge Ascriptions. Oxford University Press.
    I develop an epistemic focal bias account of certain patterns of judgments about knowledge ascriptions by integrating it with a general dual process framework of human cognition. According to the focal bias account, judgments about knowledge ascriptions are generally reliable but systematically fallible because the cognitive processes that generate them are affected by what is in focus. I begin by considering some puzzling patters of judgments about knowledge ascriptions and sketch how a basic focal bias account seeks to account (...)
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  6. The Influence of Decision Heuristics and Overconfidence on Multiattribute Choice: A Process-Tracing Study.Marcus Selart, Bård Kuvaas, Ole Boe & Kazuhisa Takemura - 2006 - European Journal of Cognitive Psychology 18 (3):437-453.
    In the present study it was shown that decision heuristics and confidence judgements play important roles in the building of preferences. Based on a dual-process account of thinking, the study compared people who did well versus poorly on a series of decision heuristics and overconfidence judgement tasks. The two groups were found to differ with regard to their information search behaviour in introduced multiattribute choice tasks. High performers on the judgemental tasks were less influenced in their decision processes (...)
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  7. Concepts – Not Just Yardsticks, but Also Heuristics: Rebutting Hacker and Bennett.Machiel Keestra & Stephen J. Cowley - 2011 - Language Sciences 33 (3):464-472.
    In their response to our article (Keestra and Cowley, 2009), Hacker and Bennett charge us with failing to understand the project of their book Philosophical Foundations of Neuroscience (PFN; Bennett and Hacker, 2003) and do this by discussing foundationalism, linguistic conservatism and the passivity of perception. In this rebuttal we explore disagreements that explain the alleged errors. First, we reiterate our substantial disagreement with Bennett and Hacker (B&H) regarding their assumption that, even regarding much debated concepts like ‘consciousness’, we can (...)
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  8. Integrating Cognitive (Neuro)Science Using Mechanisms.Marcin Miłkowski - 2016 - Avant: Trends in Interdisciplinary Studies (2):45-67.
    In this paper, an account of theoretical integration in cognitive (neuro)science from the mechanistic perspective is defended. It is argued that mechanistic patterns of integration can be better understood in terms of constraints on representations of mechanisms, not just on the space of possible mechanisms, as previous accounts of integration had it. This way, integration can be analyzed in more detail with the help of constraintsatisfaction account of coherence between scientific representations. In particular, the account has resources to talk (...)
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  9.  73
    Mycological Rationality: Heuristics, Perception and Decision-Making in Mushroom Foraging.Roope Oskari Kaaronen - 2020 - Judgment and Decision Making 15 (5):630-647.
    How do mushroom foragers make safe and efficient decisions under high degrees of uncertainty, or deal with the genuine risks of misidentification and poisoning? This article is an inquiry into ecological rationality, heuristics, perception, and decision-making in mushroom foraging. By surveying 894 Finnish mushroom foragers with a total of 22,304 years of foraging experience, this article illustrates how socially learned rules of thumb and heuristics are used in mushroom foraging. It illustrates how traditional foraging cultures have evolved precautionary (...)
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  10. A Look at the Inference Engine Underlying ‘Evolutionary Epistemology’ Accounts of the Production of Heuristics.Philippe Gagnon - 2012 - In Dirk Evers, Antje Jackelén, Michael Fuller & Taede A. Smedes (eds.), Is Religion Natural? Studies in Science and Theology, No. 13. ESSSAT Biennial Yearbook 2011-2012. Martin-Luther-Universität.
    This paper evaluates the claim that it is possible to use nature’s variation in conjunction with retention and selection on the one hand, and the absence of ultimate groundedness of hypotheses generated by the human mind as it knows on the other hand, to discard the ascription of ultimate certainty to the rationality of human conjectures in the cognitive realm. This leads to an evaluation of the further assumption that successful hypotheses with specific applications, in other words heuristics, (...)
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  11. Reverse-Engineering in Cognitive-Science.Marcin Miłkowski - 2013 - In Marcin Miłkowski & Konrad Talmont-Kaminski (eds.), Regarding Mind, Naturally. Cambridge Scholars Press. pp. 12-29.
    I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.
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  12. Some Epistemological Problems with the Knowledge Level in Cognitive Architectures.Antonio Lieto - 2015 - In Proceedings of AISC 2015, 12th Italian Conference on Cognitive Science, Genoa, 10-12 December 2015, Italy. NeaScience.
    This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an (...)
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  13. When, and How, Should Cognitive Bias Matter to Law.Govind Persad - 2014 - Law and Ineq 32:31.
    Recent work in the behavioral sciences asserts that we are subject to a variety of cognitive biases. For example, we mourn losses more than we prize equivalently sized gains; we are more inclined to believe something if it matches our previous beliefs; and we even relate more warmly or coldly to others depending on whether the coffee cup we are holding is warm or cold. Drawing on this work, case law and legal scholarship have asserted that we have reason (...)
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  14. A Description Logic of Typicality for Conceptual Combination.Antonio Lieto & Gian Luca Pozzato - 2018 - In Proceedings of ISMIS 18. Springer.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive (...) for concept combination. We show that the complexity of reasoning in our logic is EXPTIME-complete as in ALC. (shrink)
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  15. Issues with the Judicial System: A Philosophical and Psychological Approach.Manish Nagireddy - manuscript
    What factors affect judicial decision-making? The legal system is of utmost importance because of its impact on our lives. Judges appear to have the most power among any social workers seeing as the precedents set in their decisions are tantamount to written law. Nevertheless, judges may be subject to certain biases, moral and cognitive alike, which influence their rulings. Looking into how morality and cognitive biases affect judges may also reveal how we as individuals handle combining morals with (...)
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  16. Can Evolution Get Us Off the Hook? Evaluating the Ecological Defence of Human Rationality.Maarten Boudry, Michael Vlerick & Ryan McKay - 2015 - Consciousness and Cognition 33:524-535.
    This paper discusses the ecological case for epistemic innocence: does biased cognition have evolutionary benefits, and if so, does that exculpate human reasoners from irrationality? Proponents of ‘ecological rationality’ have challenged the bleak view of human reasoning emerging from research on biases and fallacies. If we approach the human mind as an adaptive toolbox, tailored to the structure of the environment, many alleged biases and fallacies turn out to be artefacts of narrow norms and artificial set-ups. However, we argue that (...)
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  17. Arguments From Expert Opinion and Persistent Bias.Moti Mizrahi - 2018 - Argumentation 32 (2):175-195.
    Accounts of arguments from expert opinion take it for granted that expert judgments count as (defeasible) evidence for propositions, and so an argument that proceeds from premises about what an expert judges to a conclusion that the expert is probably right is a strong argument. In Mizrahi (2013), I consider a potential justification for this assumption, namely, that expert judgments are significantly more likely to be true than novice judgments, and find it wanting because of empirical evidence suggesting that expert (...)
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  18. Extended Knowledge, the Recognition Heuristic, and Epistemic Injustice.Mark Alfano & Joshua August Skorburg - 2018 - In Duncan Pritchard, Jesper Kallestrup, Orestis Palermos & Adam Carter (eds.), Extended Knowledge. Oxford University Press. pp. 239-256.
    We argue that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. First, we explain the recognition heuristic as studied by Gerd Gigerenzer and colleagues, highlighting how some of its components are largely external to, and outside the control of, the cognitive agent. We then connect the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, arguing that the recognition heuristic is best understood as an instance (...)
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  19.  1
    Thinking on Thinking.Philippe Schweizer - 2020 - International Journal of Neutrosophic Science (IJNS) 2 (2):63-71.
    Beyond the predominant paradigm of an essentially rational human cognition, based on the classical binary logic, we want to propose some reflections that are organized around the intuition that the representations we have of the world are weighted with appreciations, for example affective ones. resulting from our integration into a social environment. We see these connotations as essentially ternary in nature, depending on the concepts underlying neutrosophy: either positive, negative or neutral. This form of representation would then influence the very (...)
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  20. The Philosophy of Creativity.Elliot Samuel Paul & Scott Barry Kaufman (eds.) - 2014 - Oxford University Press.
    Creativity pervades human life. It is the mark of individuality, the vehicle of self-expression, and the engine of progress in every human endeavor. It also raises a wealth of neglected and yet evocative philosophical questions: What is the role of consciousness in the creative process? How does the audience for a work for art influence its creation? How can creativity emerge through childhood pretending? Do great works of literature give us insight into human nature? Can a computer program really be (...)
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  21. The Folk Psychological Spiral: Explanation, Regulation, and Language.Kristin Andrews - 2015 - Southern Journal of Philosophy 53 (S1):50-67.
    The view that folk psychology is primarily mindreading beliefs and desires has come under challenge in recent years. I have argued that we also understand others in terms of individual properties such as personality traits and generalizations from past behavior, and in terms of group properties such as stereotypes and social norms (Andrews 2012). Others have also argued that propositional attitude attribution isn’t necessary for predicting others’ behavior, because this can be done in terms of taking Dennett’s Intentional Stance (Zawidzki (...)
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  22. Understanding Risk in Forest Ecosystem Services: Implications for Effective Risk Management, Communication and Planning.Kristina Blennow, Johannes Persson, Annika Wallin, Niklas Vareman & Erik Persson - 2014 - Forestry 87:219-228.
    Uncertainty, insufficient information or information of poor quality, limited cognitive capacity and time, along with value conflicts and ethical considerations, are all aspects thatmake risk managementand riskcommunication difficult. This paper provides a review of different risk concepts and describes how these influence risk management, communication and planning in relation to forest ecosystem services. Based on the review and results of empirical studies, we suggest that personal assessment of risk is decisive in the management of forest ecosystem services. The results (...)
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  23. Introduction: When Difference Makes a Difference.Alison Wylie - 2006 - Episteme 3 (1-2):1-7.
    Taking seriously the social dimensions of knowledge puts pressure on the assumption that epistemic agents can usefully be thought of as autonomous, interchangeable individuals, capable, insofar as they are rational and objective, of transcending the specificities of personal history, experience, and context. If this idealization is abandoned as the point of departure for epistemic inquiry, then differences among situated knowers come sharply into focus. These include differences in cognitive capacity, experience, and expertise; in access to information and the (...) that make it intelligible; and in motivating interests and orienting standpoint. Dissent takes on rather different significance, as a potentially productive feature of epistemic life rather than evidence of a failure of aperspectivality or an indication of error. The central questions are, then, what forms of diversity are epistemically consequential, and how can they best be deployed to ensure that the beliefs we warrant as knowledge are as well grounded and truth-tracking as possible. (shrink)
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  24. Bioconservatism, Bioliberalism, and Repugnance.Rebecca Roache & Steve Clarke - 2009 - Monash Bioethics Review 28 (1):04.1-04.21.
    We consider the current debate between bioconservatives and their opponents—whom we dub bioliberals—about the moral acceptability of human enhancement and the policy implications of moral debates about enhancement. We argue that this debate has reached an impasse, largely because bioconservatives hold that we should honour intuitions about the special value of being human, even if we cannot identify reasons to ground those intuitions. We argue that although intuitions are often a reliable guide to belief and action, there are circumstances in (...)
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  25. Computer-Aided Argument Mapping and the Teaching of Critical Thinking (Part 1).Martin Davies - 2012 - Inquiry: Critical Thinking Across the Disciplines 27 (2):15-30.
    This paper is in two parts. Part I outlines three traditional approaches to the teaching of critical thinking: the normative, cognitive psychology, and educational approaches. Each of these approaches is discussed in relation to the influences of various methods of critical thinking instruction. The paper contrasts these approaches with what I call the “visualisation” approach. This approach is explained with reference to computer-aided argument mapping (CAAM) which uses dedicated computer software to represent inferences between premise and conclusions. The paper (...)
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  26.  54
    Problems of Religious Luck, Ch. 4: "We Are All of the Common Herd: Montaigne and the Psychology of Our 'Importunate Presumptions'".Guy Axtell - forthcoming - In Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement.
    As we have seen in the transition form Part I to Part II of this book, the inductive riskiness of doxastic methods applied in testimonial uptake or prescribed as exemplary of religious faith, helpfully operationalizes the broader social scientific, philosophical, moral, and theological interest that people may have with problems of religious luck. Accordingly, we will now speak less about luck, but more about the manner in which highly risky cognitive strategies are correlated with psychological studies of bias studies (...)
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  27.  88
    Inference Belief and Interpretation in Science.Avijit Lahiri - manuscript
    This monograph is an in-depth and engaging discourse on the deeply cognitive roots of human scientific quest. The process of making scientific inferences is continuous with the day-to-day inferential activity of individuals, and is predominantly inductive in nature. Inductive inference, which is fallible, exploratory, and open-ended, is of essential relevance in our incessant efforts at making sense of a complex and uncertain world around us, and covers a vast range of cognitive activities, among which scientific exploration constitutes the (...)
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  28. Biases and Fallacies.Vasco Correia - 2011 - Cogency: Journal of Reasoning and Argumentation 3 (1):107-126.
    This paper focuses on the effects of motivational biases on the way people reason and debate in everyday life. Unlike heuristics and cognitive biases, motivational biases are typically caused by the influence of a desire or an emotion on the cognitive processes involved in judgmental and inferential reasoning. In line with the ‘motivational’ account of irrationality, I argue that these biases are the cause of a number of fallacies that ordinary arguers commit unintentionally, particularly when the commitment (...)
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  29. Self-Control and Loss Aversion in Intertemporal Choice.Marcus Selart, Niklas Karlsson & Tommy Gärling - 1997 - Journal of Socio-Economics 26 (5):513-524.
    The life-cycle theory of saving behavior (Modigliani, 1988) suggests that humans strive towards an equal intertemporal distribution of wealth. However, behavioral life-cycle theory (Shefrin & Thaler, 1988) proposes that people use self-control heuristics to postpone wealth until later in life. According to this theory, people use a system of cognitive budgeting known as mental accounting. In the present study it was found that mental accounts were used differently depending on if the income change was positive or negative. This (...)
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  30. Blended Cognition.Jordi Vallverdú & Vincent C. Müller (eds.) - 2019 - Cham: Springer.
    The central concept of this edited volume is "blended cognition", the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as “bad reasoning”, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: (...)
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  31. Kuznetsov V. From studying theoretical physics to philosophical modeling scientific theories: Under influence of Pavel Kopnin and his school.Volodymyr Kuznetsov - 2017 - ФІЛОСОФСЬКІ ДІАЛОГИ’2016 ІСТОРІЯ ТА СУЧАСНІСТЬ У НАУКОВИХ РОЗМИСЛАХ ІНСТИТУТУ ФІЛОСОФІЇ 11:62-92.
    The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. The (...)
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  32.  21
    Folk Psychology, Eliminativism, and the Present State of Connectionism.Vanja Subotić - 2021 - Theoria: Beograd 1 (64):173-196.
    Three decades ago, William Ramsey, Steven Stich & Joseph Garon put forward an argument in favor of the following conditional: if connectionist models that implement parallelly distributed processing represent faithfully human cognitive processing, eliminativism about propositional attitudes is true. The corollary of their argument (if it proves to be sound) is that there is no place for folk psychology in contemporary cognitive science. This understanding of connectionism as a hypothesis about cognitive architecture compatible with eliminativism is also (...)
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  33. Heuristics, Descriptions, and the Scope of Mechanistic Explanation.Carlos Zednik - 2015 - In P. Braillard & C. Malaterre (eds.), Explanation in Biology. An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences. Dordrecht: Springer. pp. 295-318.
    The philosophical conception of mechanistic explanation is grounded on a limited number of canonical examples. These examples provide an overly narrow view of contemporary scientific practice, because they do not reflect the extent to which the heuristic strategies and descriptive practices that contribute to mechanistic explanation have evolved beyond the well-known methods of decomposition, localization, and pictorial representation. Recent examples from evolutionary robotics and network approaches to biology and neuroscience demonstrate the increasingly important role played by computer simulations and mathematical (...)
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  34. The Seductions of Clarity.C. Thi Nguyen - forthcoming - Royal Institute of Philosophy Supplement.
    The feeling of clarity can be dangerously seductive. It is the feeling associated with understanding things. And we use that feeling, in the rough-and-tumble of daily life, as a signal that we have investigated a matter sufficiently. The sense of clarity functions as a thought-terminating heuristic. In that case, our use of clarity creates significant cognitive vulnerability, which hostile forces can try to exploit. If an epistemic manipulator can imbue a belief system with an exaggerated sense of clarity, then (...)
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  35. Withdrawal Aversion as a Useful Heuristic for Critical Care Decisions.Piotr Grzegorz Nowak & Tomasz Żuradzki - 2019 - American Journal of Bioethics 19 (3):36-38.
    While agreeing with the main conclusion of Dominic Wilkinson and colleagues (Wilkinson, Butcherine, and Savulescu 2019), namely, that there is no moral difference between treatment withholding and withdrawal as such, we wish to criticize their approach on the basis that it treats the widespread acceptance of withdrawal aversion (WA) as a cognitive bias. Wilkinson and colleagues understand WA as “a nonrational preference for withholding (WH) treatment over withdrawal (WD) of treatment” (22). They treat WA as a manifestation of loss (...)
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  36. Uncovering the Moral Heuristics of Altruism: A Philosophical Scale.Julian Friedland, Kyle Emich & Benjamin M. Cole - 2020 - PLoS ONE 15 (3).
    Extant research suggests that individuals employ traditional moral heuristics to support their observed altruistic behavior; yet findings have largely been limited to inductive extrapolation and rely on relatively few traditional frames in so doing, namely, deontology in organizational behavior and virtue theory in law and economics. Given that these and competing moral frames such as utilitarianism can manifest as identical behavior, we develop a moral framing instrument—the Philosophical Moral-Framing Measure (PMFM)—to expand and distinguish traditional frames associated and disassociated with (...)
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  37. Fast and Frugal Heuristics.Michael A. Bishop - 2006 - Philosophy Compass 1 (2):201–223.
    A heuristic is a rule of thumb. In psychology, heuristics are relatively simple rules for making judgments. A fast heuristic is easy to use and allows one to make judgments quickly. A frugal heuristic relies on a small fraction of the available evidence in making judgments. Typically, fast and frugal heuristics (FFHs) have, or are claimed to have, a further property: They are very reliable, yielding judgments that are about as accurate in the long run as ideal non-fast, (...)
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  38. Philosophical Thought Experiments as Heuristics for Theory Discovery.Asbjørn Steglich-Petersen & Sara Kier Praëm - 2015 - Synthese 192 (9):2827-2842.
    The growing literature on philosophical thought experiments has so far focused almost exclusively on the role of thought experiments in confirming or refuting philosophical hypotheses or theories. In this paper we draw attention to an additional and largely ignored role that thought experiments frequently play in our philosophical practice: some thought experiments do not merely serve as means for testing various philosophical hypotheses or theories, but also serve as facilitators for conceiving and articulating new ones. As we will put it, (...)
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  39. Heuristics All the Way Up?Adam Morton - 2000 - Behavioral and Brain Sciences 23 (5):758-759.
    I investigate whether heuristics similar to those studied by Gigerenzer and his co-authors can apply to the problem of finding a suitable heuristic for a given problem. I argue that not only can heuristics of a very similar kind apply but they have the added advantage that they need not incorporate specific trade-off parameters for balancing the different desiderata of a good decision-procedure.
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  40. Cognitive Penetrability of Perception.Dustin Stokes - 2013 - Philosophy Compass 8 (7):646-663.
    Perception is typically distinguished from cognition. For example, seeing is importantly different from believing. And while what one sees clearly influences what one thinks, it is debatable whether what one believes and otherwise thinks can influence, in some direct and non-trivial way, what one sees. The latter possible relation is the cognitive penetration of perception. Cognitive penetration, if it occurs, has implications for philosophy of science, epistemology, philosophy of mind, and cognitive science. This paper offers an analysis (...)
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  41. The Cognitive Neuroscience Revolution.Worth Boone & Gualtiero Piccinini - 2016 - Synthese 193 (5):1509-1534.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization (...)
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  42.  88
    Vague Heuristics.María G. Navarro - 2015 - In Rudolf Seising and Luis Argüelles (ed.), Conjectures, Hypotheses, and Fuzzy Logic. Springer. pp. 281-294.
    Even when they are defined with precision, one can often read and hear judgments about the vagueness of heuristics in debates about heuristic reasoning. This opinion is not just frequent but also quite reasonable. In fact, during the 1990s, there was a certain controversy concerning this topic that confronted two of the leading groups in the field of heuristic reasoning research, each of whom held very different perspectives. In the present text, we will focus on two of the papers (...)
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  43.  93
    Moral Thought-Experiments, Intuitions, and Heuristics.Friderik Klampfer - 2018 - Croatian Journal of Philosophy 18 (1):133-160.
    Philosophical thought-experimentation has a long and influential history. In recent years, however, both the traditionally secure place of the method of thought experimentation in philosophy and its presumed epistemic credentials have been increasingly and repeatedly questioned. In the paper, I join the choir of the discontents. I present and discuss two types of evidence that in my opinion undermine our close-to-blind trust in moral thought experiments and the intuitions that these elicit: the disappointing record of thought-experimentation in contemporary moral philosophy, (...)
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  44. The Heuristics of Fear: Can the Ambivalence of Fear Teach Us Anything in the Technological Age?Roberto Franzini Tibaldeo - 2015 - Ethics in Progress 6 (1):225-238.
    The paper assumes that fear presents a certain degree of ambivalence. To say it with Hans Jonas (1903-1993), fear is not only a negative emotion, but may teach us something very important: we recognize what is relevant when we perceive that it is at stake. Under this respect, fear may be assumed as a guide to responsibility, a virtue that is becoming increasingly important, because of the role played by human technology in the current ecological crisis. Secondly, fear and responsibility (...)
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  45. Cognitive Penetration, Perceptual Learning and Neural Plasticity.Ariel S. Cecchi - 2014 - Dialectica 68 (1):63-95.
    Cognitive penetration of perception, broadly understood, is the influence that the cognitive system has on a perceptual system. The paper shows a form of cognitive penetration in the visual system which I call ‘architectural’. Architectural cognitive penetration is the process whereby the behaviour or the structure of the perceptual system is influenced by the cognitive system, which consequently may have an impact on the content of the perceptual experience. I scrutinize a study in perceptual learning (...)
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  46. Cognitive Penetrability and Perceptual Justification.Susanna Siegel - 2012 - Noûs 46 (2).
    In this paper I argue that it's possible that the contents of some visual experiences are influenced by the subject's prior beliefs, hopes, suspicions, desires, fears or other mental states, and that this possibility places constraints on the theory of perceptual justification that 'dogmatism' or 'phenomenal conservativism' cannot respect.
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  47.  29
    Heuristics and Tests of Quantum Gravity.Nicolae Sfetcu - manuscript
    For the attempt to create a gravitational quantum theory, there are several research programs, some of which became obsolete over time due to the higher heuristic power of other programs. The primordial test of any quantum theory of gravity is the reproduction of the successes of general relativity. This involves reconstructing the local geometry from the non-local observables. In addition, quantum gravity should probabilistically predict the large-scale topology of the Universe, which may soon be measurable, and phenomena at the Planck (...)
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  48.  44
    Heuristics of Newtonian Gravity.Nicolae Sfetcu - manuscript
    The classic example of a successful research program is Newton's gravitational theory, probably the most successful Lakatosian research program. Initially, Newton's gravitational theory faced a lot of "anomalies" ("counterexamples") and contradicted the observational theories that supported these anomalies. But supporters of the Newtonian gravity research program have turned every anomaly into corroborating cases. Moreover, they themselves pointed to counterexamples which they then explained through Newtonian theory . DOI: 10.13140/RG.2.2.32489.85601.
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  49.  40
    Heuristics of String Theory.Nicolae Sfetcu - manuscript
    Since string theory has not been able to explain phenomena to date, it may seem that this confirms Feyerabend's view that there is no "method" of science. And yet, string theory is still the most active research program for quantum gravity. But, compared to other non-falsifiable theories, this has something extra, especially mathematical language, with a clear logic of deductions. Up to a point it can reproduce classical gauge theories and general relativity. And there is hope that in the not (...)
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  50.  37
    Heuristics of the General Relativity.Nicolae Sfetcu - manuscript
    The general theory of relativity was developed using as a nucleus a principle of symmetry: the principle of general covariance. Initially, Einstein saw the principle of general covariance as an extension of the principle of relativity in classical mechanics, and in SR. For Einstein, the principle of general covariance was a crucial postulate in the development of GR. The freedom of the GR diffeomorphism (the invariance of the form of the laws under transformations of the coordinates depending on the arbitrary (...)
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