Results for 'biases and heuristics'

981 found
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  1.  97
    Biases and Heuristics in Decision Making and Their Impact on Autonomy.J. S. Blumenthal-Barby - 2016 - American Journal of Bioethics 16 (5):5-15.
    Cognitive scientists have identified a wide range of biases and heuristics in human decision making over the past few decades. Only recently have bioethicists begun to think seriously about the implications of these findings for topics such as agency, autonomy, and consent. This article aims to provide an overview of biases and heuristics that have been identified and a framework in which to think comprehensively about the impact of them on the exercise of autonomous decision making. (...)
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  2. Biases and Heuristics That Subtly Shape Decisions.Jennifer Blumenthal-Barby - 2021 - In John D. Lantos (ed.), The ethics of shared decision making. New York, NY: Oxford University Press.
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  3. Heuristics, biases, and the not-so-general publics: Expertise and error in the assessment of risks.William R. Freudenburg - 1992 - In Sheldon Krimsky & Dominic Golding (eds.), Social Theories of Risk. Praeger. pp. 229--249.
     
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  4. Enhancing Rationality: Heuristics, Biases, and The Critical Thinking Project.Mark Battersby - 2016 - Informal Logic 36 (2):99-120.
    : This paper develops four related claims: 1. Critical thinking should focus more on decision making, 2. the heuristics and bias literature developed by cognitive psychologists and behavioral economists provides many insights into human irrationality which can be useful in critical thinking instruction, 3. unfortunately the “rational choice” norms used by behavioral economists to identify “biased” decision making narrowly equate rational decision making with the efficient pursuit of individual satisfaction; deviations from these norms should not be treated as an (...)
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  5. Bias (and Heuristics).María G. Navarro - 2018 - The Wiley Blackwell Encyclopedia of Social Theory. Edited by Bryan S. Turner:143-145.
    A cognitive bias is a pattern of deviation in our judgment or our processing of what we perceive. Its raison d'être is the evolutionary need to produce immediate judgments in order to adopt a position quickly in response to stimuli, problems, or situations that catch our attention for some reason. They have a social dimension because they are present in the interactions and decision-making processes of ordinary life. They can be understood to be an adaptive response to human inability to (...)
     
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  6.  65
    How to Make Decisions in An Uncertain World: Heuristics, Biases, and Risk Perception.Mauro Maldonato & Silvia Dell’Orco - 2011 - World Futures 67 (8):569 - 577.
    From the seventies onward a large quantity of theoretical and empirical studies have investigated the heuristic principles and cognitive strategies that individuals use to deal with risky and uncertain situations. This research has shown how the explicative and predictive shortcomings of normative risk analysis depend in many respects on undervaluing the continuous interaction between the individual and the environment. There are factors that, day by day, represent significant obstacles to decision making.
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  7. When cognition turns vicious: Heuristics and biases in light of virtue epistemology.Peter L. Samuelson & Ian M. Church - 2015 - Philosophical Psychology 28 (8):1095-1113.
    In this paper, we explore the literature on cognitive heuristics and biases in light of virtue epistemology, specifically highlighting the two major positions—agent-reliabilism and agent-responsibilism —as they apply to dual systems theories of cognition and the role of motivation in biases. We investigate under which conditions heuristics and biases might be characterized as vicious and conclude that a certain kind of intellectual arrogance can be attributed to an inappropriate reliance on Type 1, or the improper (...)
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  8.  66
    Heuristics and biases in mental arithmetic: revisiting and reversing operational momentum.Samuel Shaki, Michal Pinhas & Martin H. Fischer - 2018 - Thinking and Reasoning 24 (2):138-156.
    Mental arithmetic is characterised by a tendency to overestimate addition and to underestimate subtraction results: the operational momentum effect. Here, motivated by contentious explanations of this effect, we developed and tested an arithmetic heuristics and biases model that predicts reverse OM due to cognitive anchoring effects. Participants produced bi-directional lines with lengths corresponding to the results of arithmetic problems. In two experiments, we found regular OM with zero problems but reverse OM with non-zero problems. In a third experiment, (...)
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  9.  48
    Heuristics and biases in evolutionary biology.David Magnus - 1997 - Biology and Philosophy 12 (1):21-38.
    Approaching science by considering the epistemological virtues which scientists see as constitutive of good science, and the way these virtues trade-off against one another, makes it possible to capture action that may be lost by approaches which focus on either the theoretical or institutional level. Following Wimsatt (1984) I use the notion of heuristics and biases to help explore a case study from the history of biology. Early in the 20th century, mutation theorists and natural historians fought over (...)
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  10.  1
    Heuristics and biases in a purported counterexample to the acyclicity of "better than".Alex Voorhoeve - 2007 - The Centre for Philosophy of Natural and Social Science (CPNSS).
    Stuart Rachels and Larry Temkin have offered a purported counterexample to the acyclicity of the relationship “all things considered better than”. This example invokes our intuitive preferences over pairs of alternatives involving a single person’s painful experiences of varying intensity and duration. These preferences, Rachels and Temkin claim, are confidently held, entirely reasonable, and cyclical. They conclude that we should drop acyclicity as a requirement of rationality. I argue that, together with the findings of recent research on the way people (...)
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  11.  30
    (1 other version)Heuristics and Biases in a Purported Counterexample to the Acyclicity of "Better Than".Alex Voorhoeve - 2007 - CPNSS Working Paper 3 (2).
    Stuart Rachels and Larry Temkin have offered a purported counterexample to the acyclicity of the relationship “all things considered better than”. This example invokes our intuitive preferences over pairs of alternatives involving a single person’s painful experiences of varying intensity and duration. These preferences, Rachels and Temkin claim, are confidently held, entirely reasonable, and cyclical. They conclude that we should drop acyclicity as a requirement of rationality. I argue that, together with the findings of recent research on the way people (...)
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  12.  33
    The trigger effect: Cognitive biases and fake news.Tommaso Ostillio - 2018 - Internetowy Magazyn Filozoficzny Hybris 44 (01):86-104.
    This research study focuses on the problem of populistic propaganda online. In particular, this research study provides three case studies gathered in a Facebook Group of the Italian populistic movement Movimento 5 Stelle. On the one hand, the three case studies provide three powerful counterexamples to the thesis that online media are purposeful aggregator of people. In fact, this research study finds that online media are the perfect environment for populism to thrive. For online media seem to foster the aggregation (...)
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  13.  42
    Heuristics and Biases: The Psychology of Intuitive Judgment.Thomas Gilovich, Dale Griffin & Daniel Kahneman (eds.) - 2002 - Cambridge: Cambridge University Press.
    Is our case strong enough to go to trial? Will interest rates go up? Can I trust this person? Such questions - and the judgments required to answer them - are woven into the fabric of everyday experience. This book, first published in 2002, examines how people make such judgments. The study of human judgment was transformed in the 1970s, when Kahneman and Tversky introduced their 'heuristics and biases' approach and challenged the dominance of strictly rational models. Their (...)
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  14. Teaching Ethics, Heuristics, and Biases.Robert Prentice - 2004 - Journal of Business Ethics Education 1 (1):55-72.
    Although economists often model decision makers as rational actors, the heuristics and biases literature that springs from the work of Nobel Prize winner Daniel Kahneman and his late colleague Amos Tversky demonstrates that people make decisions that depart from the optimal model in systematic ways. These cognitive and behavioral limitations not only cause inefficient decision making, but also lead people to make decisions that are unethical. This article seeks to introduce a selected portion of the heuristics and (...)
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  15.  52
    Heuristics and biases: interactions among numeracy, ability, and reflectiveness predict normative responding.Paul A. Klaczynski - 2014 - Frontiers in Psychology 5.
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  16. Heuristics and biases in retirement savings behavior.Shlomo Benartzi & Richard Thaler - 2007 - Journal of Economic Perspectives 21 (3):81–104.
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  17. Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
    The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...
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  18. (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant (...)
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  19.  72
    Applying Heuristics and Biases More Broadly and Cautiously.Abraham P. Schwab - 2016 - American Journal of Bioethics 16 (5):25-27.
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  20. Natural epistemic defects and corrective virtues.Robert C. Roberts & Ryan West - 2015 - Synthese 192 (8):2557-2576.
    Cognitive psychologists have uncovered a number of natural tendencies to systematic errors in thinking. This paper proposes some ways that intellectual character virtues might help correct these sources of epistemic unreliability. We begin with an overview of some insights from recent work in dual-process cognitive psychology regarding ‘biases and heuristics’, and argue that the dozens of hazards the psychologists catalogue arise from combinations and specifications of a small handful of more basic patterns of thinking. We expound four of (...)
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  21.  24
    Are addictions “biases and errors” in the rational decision process?Elias L. Khalil - 2008 - Behavioral and Brain Sciences 31 (4):449-450.
    Redish et al. view addictions as errors arising from the weak access points of the system of decision-making. They do not analytically distinguish between addictions, on the one hand, and errors highlighted by behavioural decision theory, such as over-confidence, representativeness heuristics, conjunction fallacy, and so on, on the other. Redish et al.'s decision-making framework may not be comprehensive enough to capture addictions.
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  22. Towards Competitive Instead of Biased Testing of Heuristics: A Reply to Hilbig and Richter (2011).Henry Brighton & Gerd Gigerenzer - 2011 - Topics in Cognitive Science 3 (1):197-205.
    Our programmatic article on Homo heuristicus (Gigerenzer & Brighton, 2009) included a methodological section specifying three minimum criteria for testing heuristics: competitive tests, individual-level tests, and tests of adaptive selection of heuristics. Using Richter and Späth’s (2006) study on the recognition heuristic, we illustrated how violations of these criteria can lead to unsupported conclusions. In their comment, Hilbig and Richter conduct a reanalysis, but again without competitive testing. They neither test nor specify the compensatory model of inference they (...)
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  23. Heuristics and Meta-heuristics in Scientific Judgement.Spencer Phillips Hey - 2016 - British Journal for the Philosophy of Science 67 (2):471-495.
    Despite the increasing recognition that heuristics may be involved in myriad scientific activities, much about how to use them prudently remains obscure. As typically defined, heuristics are efficient rules or procedures for converting complex problems into simpler ones. But this increased efficiency and problem-solving power comes at the cost of a systematic bias. As Wimsatt showed, biased modelling heuristics can conceal errors, leading to poor decisions or inaccurate models. This liability to produce errors presents a fundamental challenge (...)
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  24.  79
    Gigerenzer’s ‘external validity argument’ against the heuristics and biases program: an assessment.Andrea Polonioli - 2012 - Mind and Society 11 (2):133-148.
    Gigerenzer’s ‘external validity argument’ plays a pivotal role in his critique of the heuristics and biases research program (HB). The basic idea is that (a) the experimental contexts deployed by HB are not representative of the real environment and that (b) the differences between the setting and the real environment are causally relevant, because they result in different performances by the subjects. However, by considering Gigerenzer’s work on frequencies in probability judgments, this essay attempts to show that there (...)
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  25.  42
    Constant factors and hedgeless Hedges: On heuristics and biases in biological research.Jason Scott Robert - 2003 - Philosophy of Science 70 (5):975-988.
    How does a complex organism develop from a relatively simple, homogeneous mass? The usual answer is: through the (context‐dependent) execution of species‐specific genetic instructions specifying the development of that organism. Commentators are sometimes skeptical of this usual answer, but of course not all commentators, and not always for the same reasons. Here I attempt to lay bare the logical structure of the usual answer through an extended analysis of the heuristics and methodological principles at play in the exploration and (...)
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  26.  18
    Double Heuristics and Collective Knowledge: the Case of Expertise.Stephen Turner - 2012 - Studies in Emergent Order 5:64-85.
    There is a large literature on social epistemology, some of which is concerned with expert knowledge. Formal representations of the aggregation of decisions, estimates, and the like play a larger role in these discussions. Yet these discussions are neither sufficiently social nor epistemic. The assumptions minimize the role of knowledge, and often assume independence between observers. This paper presents a more naturalistic approach, which appeals to a model of epistemic gain from others, as mutual consilience—a genuinely social notion of epistemology. (...)
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  27.  53
    Constant factors and hedgeless Hedges: On heuristics and biases developmental biology.Jason Scott Robert - unknown
    How does a complex organism develop from a relatively simple, homogeneous mass? The usual answer is: through the execution of species-specific genetic instructions specifying the development of that organism. Commentators are sometimes sceptical of this usual answer, but of course not all commentators. Some biologists refer to master control genes responsible for the activation of all the genes responsible for every aspect of organismal development; and some philosophers, most notoriously Rosenberg, buy this claim hook, line, and sinker. Here I explore (...)
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  28. Reductionism and its heuristics: Making methodological reductionism honest.William C. Wimsatt - 2006 - Synthese 151 (3):445-475.
    Methodological reductionists practice ‘wannabe reductionism’. They claim that one should pursue reductionism, but never propose how. I integrate two strains in prior work to do so. Three kinds of activities are pursued as “reductionist”. “Successional reduction” and inter-level mechanistic explanation are legitimate and powerful strategies. Eliminativism is generally ill-conceived. Specific problem-solving heuristics for constructing inter-level mechanistic explanations show why and when they can provide powerful and fruitful tools and insights, but sometimes lead to erroneous results. I show how traditional (...)
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  29.  67
    Gone with the wind: Individual differences in heuristics and biases undermine the implication of systematic irrationality.David C. Funder - 2000 - Behavioral and Brain Sciences 23 (5):673-674.
    The target article's finding of stable and general individual differences in solving of problems in heuristics-and-biases experiments is fundamentally subversive to the Meliorist research program's attention-getting claim that human thought is “systematically irrational.” Since some people get these problems right, studies of heuristics and biases may reduce to repeated demonstrations that difficult questions are hard to solve.
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  30. 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 of (...)
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  31. Emergence as non-aggregativity and the biases of reductionisms.William C. Wimsatt - 2000 - Foundations of Science 5 (3):269-297.
    Most philosophical accounts of emergence are incompatible with reduction. Most scientists regard a system property as emergent relative to properties of its parts if it depends upon their mode of organization-a view consistent with reduction. Emergence is a failure of aggregativity, in which ``the whole is nothing more than the sum of its parts''. Aggregativity requires four conditions, giving powerful tools for analyzing modes of organization. Differently met for different decompositions of the system, and in different degrees, the structural conditions (...)
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  32.  7
    Cognitive biases related to speciesism and the denial of theory of mind to non-human animals.Janina Mękarska - 2024 - Analiza I Egzystencja 67:109-125.
    The aim of this article is to identify the manifestations of speciesism in the history of research into theory of mind in non-human animals and, more importantly, to identify the cognitive biases that contribute to the adoption of incautious and, as we will see in later chapters, often misinterpretations of empirical research. The influence of speciesism is also visible in broadly understood animal studies. The manifestations of species-related chauvinism are present, inter alia, in in considerations on the theory of (...)
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  33. For Those Condemned to Study Past: Heuristics and Biases In Hindsight [w:] Kahneman D., Slovic P., Tversky A.B. Frischhoff - 1982 - In Daniel Kahneman, Paul Slovic & Amos Tversky (eds.), Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press.
     
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  34.  57
    Beyond existence and aiming outside the laboratory: Estimating frequency-dependent and payoff-biased social learning strategies.Peter J. Richerson - unknown
    The existence of social learning has been confirmed in diverse taxa, from apes to guppies. In order to advance our understanding of the consequences of social transmission and evolution of behavior, however, we require statistical tools that can distinguish among diverse social learning strategies. In this paper, we advance two main ideas. First, social learning is diverse, in the sense that individuals can take advantage of different kinds of information and combine them in different ways. Examining learning strategies for different (...)
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  35.  25
    An empirical assessment of financial literacy and behavioral biases on investment decision: Fresh evidence from small investor perception.Sun Weixiang, Md Qamruzzaman, Wang Rui & Rajnish Kler - 2022 - Frontiers in Psychology 13.
    To have enough financial literacy, an investor must be able to make intelligent investment choices, and on the other hand, the heuristic bias, the framing effect, cognitive illusions, and herd mentality are all variables that contribute to the formation of behavioral biases, also known as illogical conduct, in the decision-making process. The current research looks specifically at behavioral biases and financial literacy influence investment choices, particularly on stock market investment. For the research, a representative sample of 450 individual (...)
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  36. Aggregativity: Reductive heuristics for finding emergence.William C. Wimsatt - 1997 - Philosophy of Science 64 (4):372-84.
    Most philosophical accounts of emergence are incompatible with reduction. Most scientists regard a system property as emergent relative to properties of the system's parts if it depends upon their mode of organization--a view consistent with reduction. Emergence can be analyzed as a failure of aggregativity--a state in which "the whole is nothing more than the sum of its parts." Aggregativity requires four conditions, giving tools for analyzing modes of organization. Differently met for different decompositions of the system, and in different (...)
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  37. Capacity for simulation and mitigation drives hedonic and non-hedonic time biases.Preston Greene, Andrew J. Latham, Kristie Miller & James Norton - 2022 - Philosophical Psychology 35 (2):226-252.
    Until recently, philosophers debating the rationality of time-biases have supposed that people exhibit a first-person hedonic bias toward the future, but that their non-hedonic and third-person preferences are time-neutral. Recent empirical work, however, suggests that our preferences are more nuanced. First, there is evidence that our third-person preferences exhibit time-neutrality only when the individual with respect to whom we have preferences—the preference target—is a random stranger about whom we know nothing; given access to some information about the preference target, (...)
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  38.  40
    More is Better: English Language Statistics are Biased Toward Addition.Bodo Winter, Martin H. Fischer, Christoph Scheepers & Andriy Myachykov - 2023 - Cognitive Science 47 (4):e13254.
    We have evolved to become who we are, at least in part, due to our general drive to create new things and ideas. When seeking to improve our creations, ideas, or situations, we systematically overlook opportunities to perform subtractive changes. For example, when tasked with giving feedback on an academic paper, reviewers will tend to suggest additional explanations and analyses rather than delete existing ones. Here, we show that this addition bias is systematically reflected in English language statistics along several (...)
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  39.  14
    The Measurement of Individual Differences in Cognitive Biases: A Review and Improvement.Vincent Berthet - 2021 - Frontiers in Psychology 12:630177.
    Individual differences have been neglected in decision-making research on heuristics and cognitive biases. Addressing that issue requires having reliable measures. The author first reviewed the research on the measurement of individual differences in cognitive biases. While reliable measures of a dozen biases are currently available, our review revealed that some measures require improvement and measures of other key biases are still lacking (e.g., confirmation bias). We then conducted empirical work showing that adjustments produced a significant (...)
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  40.  26
    Overcoming Frege’s curse: heuristic reasoning as the basis for teaching philosophy of science to scientists.Till Grüne-Yanoff - 2022 - European Journal for Philosophy of Science 12 (1):1-15.
    A lot of philosophy taught to science students consists of scientific methodology. But many philosophy of science textbooks have a fraught relationship with methodology, presenting it either a system of universal principles or entirely permeated by contingent factors not subject to normative assessment. In this paper, I argue for an alternative, heuristic perspective for teaching methodology: as fallible, purpose- and context-dependent, subject to cost-effectiveness considerations and systematically biased, but nevertheless subject to normative assessment. My pedagogical conclusion from this perspective is (...)
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  41.  63
    Better but still biased: Analytic cognitive style and belief bias.Dries Trippas, Gordon Pennycook, Michael F. Verde & Simon J. Handley - 2015 - Thinking and Reasoning 21 (4):431-445.
    Belief bias is the tendency for prior beliefs to influence people's deductive reasoning in two ways: through the application of a simple belief-heuristic and through the application of more effortful reasoning for unbelievable conclusions. Previous research indicates that cognitive ability is the primary determinant of the effect of beliefs on accuracy. In the current study, we show that the mere tendency to engage analytic reasoning is responsible for the effect of cognitive ability on motivated reasoning. The implications of this finding (...)
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  42. (1 other version)Homo Heuristicus: Why Biased Minds Make Better Inferences.Gerd Gigerenzer & Henry Brighton - 2009 - Topics in Cognitive Science 1 (1):107-143.
    Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the study of heuristics shows that less information, computation, and time can in fact improve accuracy. We review the major progress made so far: the discovery of less-is-more effects; the study of the ecological rationality of heuristics, which examines in which environments a given strategy succeeds or fails, and why; an advancement from vague labels to computational models (...)
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  43.  4
    Leaving the Cold Behind: The Role of Emotions and Cognitive Biases in Business Adaptation to Climate Change.Mercedes Bleda & Jonatan Pinkse - 2025 - Business and Society 64 (1):9-44.
    This article develops the argument that the interplay between emotions and cognitive biases influences corporate decision-making on climate change adaptation. Our theoretical analysis examines how emotions can change the effect of cognitive biases on adaptation decisions by influencing how firms select, access, and process complex and uncertain climatic information. We draw on research on climate adaptation, social psychology, and managerial cognition and focus on three forms of bias: availability heuristic, framing, and anchoring. We explain how each bias shapes (...)
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  44.  30
    Reining in patient and individual choice.Mark Sheehan - 2014 - Journal of Medical Ethics 40 (5):291-292.
    Patient choice, we might think, is the popular version of the ideas of informed consent and the principle of respect for autonomy and intimately connected to the politics of liberal individualism. There are various accounts to be given for why patient choice, in all its forms, has dominated thinking in bioethics and popular culture. All of them, I suggest, will make reference to the decline of paternalism. The bad old days of ‘doctor knows best’ are gone and were replaced by (...)
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  45.  64
    Anthropogenic climate change as a monumental niche construction process: background and philosophical aspects.Andra Meneganzin, Telmo Pievani & Stefano Caserini - 2020 - Biology and Philosophy 35 (4):1-20.
    Climate change has historically been an evolutionary determinant for our species, affecting both hominin evolutionary innovations and extinction rates, and the early waves of migration and expansion outside Africa. Today Homo sapiens has turned itself into a major geological force, able to cause a biodiversity crisis comparable to previous mass extinction events, shaping the Earth surface and impacting biogeochemical cycles and the climate at a global level. We argue that anthropogenically-driven climate change must be understood in terms of a monumental (...)
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  46.  17
    How Prone are Bulgarians to Heuristics and Biases? Implications for Studying Rationality across Cultures.Nikolay R. Rachev & Miglena Petkova - 2019 - Journal of Cognition and Culture 19 (3-4):322-342.
    Dual-processes theories of cognition implicitly assume universality of the human mind. However, research has shown that large-scale differences exist in thinking styles across cultures. Thereby, the universality of the effects found in Western samples remains an open empirical question. Here, we explored whether effects predicted by prospect theory, such as the framing effect, would be observed in a sample of 312 Bulgarian students. Overall, the size of the framing effect was smaller than in the original studies. Most notably, we failed (...)
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  47. Simple heuristics from the adaptive toolbox: Can we perform the requisite learning?Dr Tim Rakow, Neal Hinvest, Edward Jackson & Martin Palmer - 2004 - Thinking and Reasoning 10 (1):1 – 29.
    The Adaptive Toolbox framework specifies heuristics for choice and categorisation that search through cues in previously learned orders (Gigerenzer & Todd, 1999). We examined the learning of three cue parameters defining different orders: discrimination rate (DR) (the probability that a cue points to a unique choice), validity (the probability of correct choice given that a cue discriminates), and success (the probability of correct choice). Success orderings are identical to those by expected information gain (Klayman & Ha, 1987). In two (...)
     
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  48.  73
    The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility (...)
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  49. A model of heuristic judgment.Daniel Kahneman & Shane Frederick - 2005 - In K. Holyoak & B. Morrison (eds.), The Cambridge handbook of thinking and reasoning. Cambridge, England: Cambridge University Press. pp. 267--293.
    The program of research now known as the heuristics and biases approach began with a study of the statistical intuitions of experts, who were found to be excessively confident in the replicability of results from small samples. The persistence of such systematic errors in the intuitions of experts implied that their intuitive judgments may be governed by fundamentally different processes than the slower, more deliberate computations they had been trained to execute. The ancient idea that cognitive processes can (...)
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    Risk, Technology, and Moral Emotions.Sabine Roeser - 2017 - New York: Routledge.
    Cover -- Title -- Copyright -- Dedication -- Contents -- Acknowledgments -- 1 Introduction: Risk and Emotions -- PART I Risk Debates, Stalemates, Values and Emotions -- 2 Emotions and Values in Current Approaches to Decision Making About Risk -- 3 Risk Perception, Intuitions and Values -- PART II Reasonable Risk Emotions -- 4 Risk Emotions: The 'Affect Heuristic', its Biases and Beyond -- 5 The Philosophy of Moral Risk Emotions: Toward a New Paradigm of Risk Emotions -- PART (...)
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