Results for 'heuristic'

460 found
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  1. 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 (...)
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  2. The heuristic conception of inference to the best explanation.Finnur Dellsén - 2017 - Philosophical Studies 175 (7):1745-1766.
    An influential suggestion about the relationship between Bayesianism and inference to the best explanation holds that IBE functions as a heuristic to approximate Bayesian reasoning. While this view promises to unify Bayesianism and IBE in a very attractive manner, important elements of the view have not yet been spelled out in detail. I present and argue for a heuristic conception of IBE on which IBE serves primarily to locate the most probable available explanatory hypothesis to serve as a (...)
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  3.  80
    Fallible Heuristics and Evaluation of Research Traditions. The Case of Embodied Cognition.Marcin Miłkowski - 2019 - Ruch Filozoficzny 75 (2):223.
    In this paper, I argue that embodied cognition, like many other research traditions in cognitive science, offers mostly fallible research heuristics rather than grand principles true of all cognitive processing. To illustrate this claim, I discuss Aizawa’s rebuttal of embodied and enactive accounts of vision. While Aizawa’s argument is sound against a strong reading of the enactive account, it does not undermine the way embodied cognition proceeds, because the claim he attacks is one of fallible heuristics. These heuristics may be (...)
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  4. 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 (...)
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  5. Vague heuristics.María G. Navarro - 2015 - In Settimo Termini and Rudolf Seising Claudio Moraga (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 (...)
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  6. Explanatory Pluralism and The Heuristic Identity Theory.Robert N. McCauley & William Bechtel - 2001 - Theory & Psychology 11 (6):736–760.
    Explanatory pluralism holds that the sorts of comprehensive theoretical and ontological economies, which microreductionists and New Wave reductionists envision and which antireductionists fear, offer misleading views of both scientific practice and scientific progress. Both advocates and foes of employing reductionist strategies at the interface of psychology and neuroscience have overplayed the alleged economies that interlevel connections (including identities) justify while overlooking their fundamental role in promoting scientific research. A brief review of research on visual processing provides support for the explanatory (...)
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  7. 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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  8. 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 knowledge (...)
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  9. 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 (...)
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  10. Reasoning with heuristics.Brett Karlan - 2021 - Ratio 34 (2):100-108.
    Which rules should guide our reasoning? Human reasoners often use reasoning shortcuts, called heuristics, which function well in some contexts but lack the universality of reasoning rules like deductive implication or inference to the best explanation. Does it follow that human reasoning is hopelessly irrational? I argue: no. Heuristic reasoning often represents human reasoners reaching a local rational maximum, reasoning more accurately than if they try to implement more “ideal” rules of reasoning. I argue this is a genuine rational (...)
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  11.  86
    A New Heuristic for Climate Adaptation.Kate Nicole Hoffman & Karen Kovaka - 2023 - Philosophy of Science:1-11.
    An influential heuristic for thinking about climate adaptation asserts that “natural” adaptation strategies are the best ones. This heuristic has been roundly criticized but is difficult to dislodge in the absence of an alternative. We introduce a new heuristic that assesses adaptation strategies by looking at their maturity, power, and commitment. Maturity is the extent to which we understand an adaptation strategy’s effects. Power is the size of the effect an adaptation strategy will have. Commitment is the (...)
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  12. Ethical heuristics for pandemic allocation of ventilators across hospitals.César Palacios-González, Jonathan Pugh, Dominic Wilkinson & Julian Savulescu - 2022 - Developing World Bioethics 22 (1):34-43.
    In response to the COVID‐19 pandemic philosophers and governments have proposed scarce resource allocation guidelines. Their purpose is to advise healthcare professionals on how to ethically allocate scarce medical resources. One challenging feature of the pandemic has been the large numbers of patients needing mechanical ventilatory support. Guidelines have paradigmatically focused on the question of what doctors should do if they have fewer ventilators than patients who need respiratory support: which patient should get the ventilator? There is, however, an important (...)
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  13. 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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  14. 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 (...)
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  15. 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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  16. 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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  17. 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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  18.  86
    The More Evidence Heuristic.Benjamin T. Rancourt - 2016 - Social Epistemology Review and Reply Collective 5 (6):27-41.
    If A confirms H and B confirms H, it seems reasonable to infer that A&B confirms H. However, this inference is not valid; it is only a heuristic. I show that the level of confirmation A and B each give to H by itself implies nothing about the level of confirmation that A&B gives to H. Any combination of values is possible for P(H), P(H|A), P(H|B) and P(H|AB) is possible. Still, I show the heuristic leads from true premises (...)
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  19. Disgust as Heuristic.Robert William Fischer - 2016 - Ethical Theory and Moral Practice 19 (3):679-693.
    Suppose that disgust can provide evidence of moral wrongdoing. What account of disgust might make sense of this? A recent and promising theory is the social contagion view, proposed by Alexandra Plakias. After criticizing both its descriptive and normative claims, I draw two conclusions. First, we should question the wisdom of drawing so straight a line from biological poisons and pathogens to social counterparts. Second, we don’t need to explain the evidential value of disgust by appealing to what the response (...)
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  20. The Humility Heuristic, or: People Worth Trusting Admit to What They Don’t Know.Mattias Skipper - 2021 - Social Epistemology 35 (3):323-336.
    People don't always speak the truth. When they don't, we do better not to trust them. Unfortunately, that's often easier said than done. People don't usually wear a ‘Not to be trusted!’ badge on their sleeves, which lights up every time they depart from the truth. Given this, what can we do to figure out whom to trust, and whom not? My aim in this paper is to offer a partial answer to this question. I propose a heuristic—the “Humility (...)
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  21. Heuristic value of simulation models in psychology.Alberto Greco - 1983 - Https://Web-Archive.Southampton.Ac.Uk/Cogprints.Org/285/1/Heurist.Htm.
    Starting from some remarks about the use of models in psychology, Human Information Processing (henceforth called H.I.P.) models which sometimes use computer simulation will be examined. An attempt to show that simulation in psychology does not necessarily imply an H.I.P. approach is then made.
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  22. Covariance/invariance: A Cognitive Heuristic in Einstein's Relativity Theory Formation.Andrea Cerroni - 2000 - Foundations of Science 5 (2):209-224.
    Relativity Theory by Albert Einstein has been so far littleconsidered by cognitive scientists, notwithstanding its undisputedscientific and philosophical moment. Unfortunately, we don't have adiary or notebook as cognitively useful as Faraday's. But physicshistorians and philosophers have done a great job that is relevant bothfor the study of the scientist's reasoning and the philosophy ofscience. I will try here to highlight the fertility of a `triangulation'using cognitive psychology, history of science and philosophy of sciencein starting answering a clearly very complex question:why (...)
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  23. Using criticalities as a heuristic for answer set programming.Orkunt Sabuncu, Ferda N. Alpaslan & Varol Akman - 2003 - In Vladimir Lifschitz & Ilkka Niemela (eds.), Logic Programming and Nonmonotonic Reasoning, Lecture Notes in Artificial Intelligence 2923 (7th International Conference, LPNMR 2004, Fort Lauderdale, FL, January 6-8, 2004 Proceedings). Berlin, Heidelberg: Springer. pp. 234-246.
    Answer Set Programming is a new paradigm based on logic programming. The main component of answer set programming is a system that finds the answer sets of logic programs. During the computation of an answer set, systems are faced with choice points where they have to select a literal and assign it a truth value. Generally, systems utilize some heuristics to choose new literals at the choice points. The heuristic used is one of the key factors for the performance (...)
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  24. 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 observed (...)
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  25. 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 by numerical (...)
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  26. TORC3: Token-Ring Clearing Heuristic for Currency Circulation.Julio Michael Stern, Carlos Humes, Marcelo de Souza Lauretto, Fabio Nakano, Carlos Alberto de Braganca Pereira & Guilherme Frederico Gazineu Rafare - 2012 - AIP Conference Proceedings 1490:179-188.
    Clearing algorithms are at the core of modern payment systems, facilitating the settling of multilateral credit messages with (near) minimum transfers of currency. Traditional clearing procedures use batch processing based on MILP - mixed-integer linear programming algorithms. The MILP approach demands intensive computational resources; moreover, it is also vulnerable to operational risks generated by possible defaults during the inter-batch period. This paper presents TORC3 - the Token-Ring Clearing Algorithm for Currency Circulation. In contrast to the MILP approach, TORC3 is a (...)
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  27. The heuristic circularity of commitment and the experience of discovery: A Polanyian critique of Thomas Kuhn's Structure of Scientific Revolutions.Dr Aaron Milavec - 1988 - Tradition and Discovery 16 (2):4-20.
    My essay will be divided as follows: -/- #1 Analysis of Thomas Kuhn's notion of scientific revolutions; #2 Critical soft spots found in both Kuhn and Polanyi; #3 How Polanyi can enrich Kuhn's description of scientific discoveries.
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  28. The Availability Heuristic and Inference to the Best Explanation.Michael J. Shaffer - 2019 - Logos and Episteme 10 (4):409-432.
    This paper shows how the availability heuristic can be used to justify inference to the best explanation in such a way that van Fraassen's infamous "best of a bad lot" objection can be adroitly avoided. With this end in mind, a dynamic and contextual version of the erotetic model of explanation sufficient to ground this response is presented and defended.
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  29. The Incoherence of Heuristically Explaining Coherence.Iris van Rooij & Cory Wright - 2006 - In Ron Sun (ed.), Proceedings of the 28th Annual Conference of the Cognitive Science Society. pp. 2622.
    Advancement in cognitive science depends, in part, on doing some occasional ‘theoretical housekeeping’. We highlight some conceptual confusions lurking in an important attempt at explaining the human capacity for rational or coherent thought: Thagard & Verbeurgt’s computational-level model of humans’ capacity for making reasonable and truth-conducive abductive inferences (1998; Thagard, 2000). Thagard & Verbeurgt’s model assumes that humans make such inferences by computing a coherence function (f_coh), which takes as input representation networks and their pair-wise constraints and gives as output (...)
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  30. 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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  31. 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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  32. How do decision heuristic performance and social value orientaion matter in the building of preferences?Marcus Selart, Ole Boe & Kazuhisa Takemura - 2000 - Göteborg Psychological Reports 30 (6).
    In the present study it was shown that both decision heuristics and social value orientation play important roles in the building of preferences. This was revealed in decision tasks in which participants were deciding about candidates for a job position. An eye-tracking equipment was applied in order to register participants´ information acquisition. It was revealed that participants performing well on a series of heuristics tasks (availability, representativeness, anchoríng & adjustment,and attribution) including a confidence judgment also behaved more accurately than low (...)
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  33. 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 principles to (...)
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  34. Dialectical and heuristic arguments: presumptions and burden of proof.Fabrizio Macagno - 2010 - In C. Tindale & C. Reed (eds.), Dialectics, Dialogue and Argumentation: An Examination of Douglas Walton's Theories of Reasoning and Argument. College Publications. pp. 45-57.
    Presumption is a complex concept in law, affecting the dialogue setting. However, it is not clear how presumptions work in everyday argumentation, in which the concept of “plausible argumentation” seems to encompass all kinds of inferences. By analyzing the legal notion of presumption, it appears that this type of reasoning combines argument schemes with reasoning from ignorance. Presumptive reasoning can be considered a particular form of reasoning, which needs positive or negative evidence to carry a probative weight on the conclusion. (...)
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  35. Conceptual Modelling, Combinatorial Heuristics and Ars Inveniendi: An Epistemological History (Ch 1 & 2).Tom Ritchey - manuscript
    (1) An introduction to the principles of conceptual modelling, combinatorial heuristics and epistemological history; (2) the examination of a number of perennial epistemological-methodological schemata: conceptual spaces and blending theory; ars inveniendi and ars demonstrandi; the two modes of analysis and synthesis and their relationship to ars inveniendi; taxonomies and typologies as two fundamental epistemic structures; extended cognition, cognitio symbolica and model-based reasoning; (3) Plato’s notions of conceptual spaces, conceptual blending and hypothetical-analogical models (paradeigmata); (4) Ramon Llull’s concept analysis and combinatoric (...)
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  36. Avoiding reification: Heuristic effectiveness of mathematics and the prediction of the omega minus particle.Michele Ginammi - 2016 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 53:20-27.
    According to Steiner (1998), in contemporary physics new important discoveries are often obtained by means of strategies which rely on purely formal mathematical considerations. In such discoveries, mathematics seems to have a peculiar and controversial role, which apparently cannot be accounted for by means of standard methodological criteria. M. Gell-Mann and Y. Ne׳eman׳s prediction of the Ω− particle is usually considered a typical example of application of this kind of strategy. According to Bangu (2008), this prediction is apparently based on (...)
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  37. Fishbones, Wheels, Eyes, and Butterflies: Heuristic Structural Reasoning in the Search for Solutions to the Navier-Stokes Equations.Lydia Patton - 2023 - In Lydia Patton & Erik Curiel (eds.), Working Toward Solutions in Fluid Dynamics and Astrophysics: What the Equations Don’t Say. Springer Verlag. pp. 57-78.
    Arguments for the effectiveness, and even the indispensability, of mathematics in scientific explanation rely on the claim that mathematics is an effective or even a necessary component in successful scientific predictions and explanations. Well-known accounts of successful mathematical explanation in physical science appeals to scientists’ ability to solve equations directly in key domains. But there are spectacular physical theories, including general relativity and fluid dynamics, in which the equations of the theory cannot be solved directly in target domains, and yet (...)
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  38. SAR-BSO meta-heuristic hybridization for feature selection and classification using DBNover stream data.Dharani Talapula, Kiran Ravulakollu, Manoj Kumar & Adarsh Kumar - forthcoming - Artificial Intelligence Review.
    Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that is motivated by deep (...)
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  39. Defeating Ignorance – Ius ad Bellum Heuristics for Modern Professional Soldiers.Maciej Marek Zając - 2018 - Diametros 62 (62):1-17.
    Just War Theory debates discussing the principle of the Moral Equality of Combatants involve the notion of Invincible Ignorance; the claim that warfi ghters are morally excused for participating in an unjust war because of their epistemic limitations. Conditions of military deployment may indeed lead to genuinely insurmountable epistemic limitations. In other cases, these may be overcome. This paper provides a preliminary sketch of heuristics designed to allow a combatant to judge whether or not his war is just. It delineates (...)
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  40. 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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  41. Process thought as a heuristic for investigating consciousness.Anderson Weekes & Michel Weber - 2010 - In Michel Weber & Anderson Weekes (eds.), Process Approaches to Consciousness in Psychology, Neuroscience, and Philosophy of Mind. Albany: State University of New York Press. pp. 37-56.
    The authors argue that the consciousness debate inhabits the same problem space today as it did in the 17th century. They attribute the lack of progress to a mindset still polarized by Descartes’ real distinction between mind and body, resulting in a standoff between humanistic and scientistic approaches. They suggest that consciousness can be adequately studied only by a multiplicity of disciplines so that the paramount problem is how to integrate diverse disciplinary perspectives into a coherent metatheory. Process philosophy is (...)
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  42. 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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  43. Goal → New Heuristic Model of Ideality: Logos → Coincidentia Oppositorum → Primordial Generating Structure.Vladimir Rogozhin - 2017 - Contest FQXi Essay 2017.
    Fundamental knowledge endures deep conceptual crisis manifested in total crisis of understanding, crisis of interpretation and representation, loss of certainty, troubles with physics, crisis of methodology. Crisis of understanding in fundamental science generates deep crisis of understanding in global society. What way should we choose for overcoming total crisis of understanding in fundamental science? It should be the way of metaphysical construction of new comprehensive model of ideality on the basis of the "modified ontology". Result of quarter-century wanderings: sum of (...)
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  44. Affording Sustainability: Adopting a Theory of Affordances as a Guiding Heuristic for Environmental Policy.O. Kaaronen Roope - 2017 - Frontiers in Psychology 8.
    Human behavior is an underlying cause for many of the ecological crises faced in the 21st century, and there is no escaping from the fact that widespread behavior change is necessary for socio-ecological systems to take a sustainable turn. Whilst making people and communities behave sustainably is a fundamental objective for environmental policy, behavior change interventions and policies are often implemented from a very limited non-systemic perspective. Environmental policy-makers and psychologists alike often reduce cognition ‘to the brain,’ focusing only to (...)
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  45. General-Purpose Institutional Decision-Making Heuristics: The Case of Decision-Making under Deep Uncertainty.David Thorstad - forthcoming - British Journal for the Philosophy of Science.
    Recent work in judgment and decisionmaking has stressed that institutions, like individuals, often rely on decisionmaking heuristics. But most of the institutional decisionmaking heuristics studied to date are highly firm- and industry-specific. This contrasts to the individual case, in which many heuristics are general-purpose rules suitable for a wide range of decision problems. Are there also general-purpose heuristics for institutional decisionmaking? In this paper, I argue that a number of methods recently developed for decisionmaking under deep uncertainty have a good (...)
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  46. Epistemological Naturalness: What is a good heuristic strategy good for?Matej Drobňák - 2018 - Logic and Logical Philosophy 27 (1):85-104.
    According to the standard interpretation of Lewis’s theory of predicate meaning (the U&N theory), the naturalness of meaning candidates should be stated metaphysically - as a length of definition in terms of fundamental properties. Recently, Weatherson has criticized the U&N theory and argued that the criterion of naturalness should be stated epistemologically - as the amount of evidence needed to form a belief. Despite the criticism, his attitude towards the U&N theory is quite relaxed. According to Weatherson, the U&N theory (...)
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  47. Williamson on Indicatives and Suppositional Heuristics.Franz Berto - 2022 - Synthese (1):1-12.
    Timothy Williamson has defended the claim that the semantics of the indicative ‘if’ is given by the material conditional. Putative counterexamples can be handled by better understanding the role played in our assessment of indicatives by a fallible cognitive heuristic, called the Suppositional Procedure. Williamson’s Suppositional Conjecture has it that the Suppositional Procedure is humans’ primary way of prospectively assessing conditionals. This paper raises some doubts on the Suppositional Procedure and Conjecture.
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  48. 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 (eds.), Is Religion Natural? ESSSAT Yearbook 2011-2012. Forthcoming.
    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, seem to (...)
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  49.  94
    Massive Modularity: An Ontological Hypothesis or an Adaptationist Discovery Heuristic?David Villena - 2023 - International Studies in the Philosophy of Science 36 (4):317-334.
    Cognitive modules are internal mental structures. Some theorists and empirical researchers hypothesise that the human mind is either partially or massively comprised of structures that are modular in nature. Is the massive modularity of mind hypothesis a cogent view about the ontological nature of human mind or is it, rather, an effective/ineffective adaptationist discovery heuristic for generating predictively successful hypotheses about both heretofore unknown psychological traits and unknown properties of already identified psychological traits? Considering the inadequacies of the case (...)
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  50. 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 research program on (...)
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