Results for 'Basing error'

999 found
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  1. Ontology-based error detection in SNOMED-CT.Werner Ceusters, Barry Smith, Anand Kumar & Christoffel Dhaen - 2004 - Proceedings of Medinfo 2004:482-6.
    Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demon­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.
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  2.  74
    Inconsistent multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses.Mark Rubin - 2024 - Methods in Psychology 10.
    During multiple testing, researchers often adjust their alpha level to control the familywise error rate for a statistical inference about a joint union alternative hypothesis (e.g., “H1,1 or H1,2”). However, in some cases, they do not make this inference. Instead, they make separate inferences about each of the individual hypotheses that comprise the joint hypothesis (e.g., H1,1 and H1,2). For example, a researcher might use a Bonferroni correction to adjust their alpha level from the conventional level of 0.050 to (...)
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  3. ENHANCING THE MASTERY SKILLS OF PUPIL - JOURNALISTS IN BASIC NEWS WRITING THROUGH (CEB) CONTEXTUALIZED ERROR – BASED WORKTEXT.Alwin C. Garcia - 2023 - Get International Research Journal.
    This study aimed to enhance the mastery level of the campus journalists of Cuyo Central School, Division of Palawan in basic news writing through (CEB) Contextualized Error – Based Worktext. It used mixed methods, the quantitative approach was utilized to know the common errors committed by the participants of the study in writing news articles, their level of achievement and the testing of significant difference of their scores in pre-test and post – test. The challenges they met in utilizing (...)
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  4.  69
    ENHANCING THE MASTERY SKILLS OF PUPIL - JOURNALISTS IN BASIC NEWS WRITING THROUGH (CEB) CONTEXTUALIZED ERROR – BASED WORKTEXT.Alwin C. Garcia - 2023 - Get International Research Journal.
    This study aimed to enhance the mastery level of the campus journalists of Cuyo Central School, Division of Palawan in basic news writing through (CEB) Contextualized Error – Based Worktext. It used mixed methods, the quantitative approach was utilized to know the common errors committed by the participants of the study in writing news articles, their level of achievement and the testing of significant difference of their scores in pre-test and post – test. The challenges they met in utilizing (...)
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  5. Learning from errors in digital patient communication: Professionals’ enactment of negative knowledge and digital ignorance in the workplace.Rikke Jensen, Charlotte Jonasson, Martin Gartmeier & Jaana Parviainen - 2023 - Journal of Workplace Learning 35 (5).
    Purpose. The purpose of this study is to investigate how professionals learn from varying experiences with errors in health-care digitalization and develop and use negative knowledge and digital ignorance in efforts to improve digitalized health care. Design/methodology/approach. A two-year qualitative field study was conducted in the context of a public health-care organization working with digital patient communication. The data consisted of participant observation, semistructured interviews and document data. Inductive coding and a theoretically informed generation of themes were applied. Findings. The (...)
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  6. Modeling Measurement: Error and Uncertainty.Alessandro Giordani & Luca Mari - 2014 - In Marcel Boumans, Giora Hon & Arthur Petersen (eds.), Error and Uncertainty in Scientific Practice. Pickering & Chatto. pp. 79-96.
    In the last few decades the role played by models and modeling activities has become a central topic in the scientific enterprise. In particular, it has been highlighted both that the development of models constitutes a crucial step for understanding the world and that the developed models operate as mediators between theories and the world. Such perspective is exploited here to cope with the issue as to whether error-based and uncertainty-based modeling of measurement are incompatible, and thus alternative with (...)
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  7. Desire-Based Theories of Reasons and the Guise of the Good.Kael McCormack - 2023 - Ergo: An Open Access Journal of Philosophy 9 (47):1288-1321.
    I propose an account of desire that reconciles two apparently conflicting intuitions about practical agency. I do so by exploring a certain intuitive datum. The intuitive datum is that often when an agent desires P she will seem to immediately and conclusively know that there is a reason to bring P about. Desire-based theories of reasons seem uniquely placed to explain this intuitive datum. On this view, desires are the source of an agent’s practical reasons. A desire for P grounds (...)
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  8. Inexact Knowledge, Margin for Error and Positive Introspection.Julien Dutant - 2007 - Proceedings of Tark XI.
    Williamson (2000a) has argued that posi- tive introspection is incompatible with in- exact knowledge. His argument relies on a margin-for-error requirement for inexact knowledge based on a intuitive safety prin- ciple for knowledge, but leads to the counter- intuitive conclusion that no possible creature could have both inexact knowledge and posi- tive introspection. Following Halpern (2004) I put forward an alternative margin-for-error requirement that preserves the safety require- ment while blocking Williamson’s argument. I argue that the infallibilist conception (...)
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  9. The Harm of Ableism: Medical Error and Epistemic Injustice.David M. Peña-Guzmán & Joel Michael Reynolds - 2019 - Kennedy Institute of Ethics Journal 29 (3):205-242.
    This paper argues that epistemic errors rooted in group- or identity- based biases, especially those pertaining to disability, are undertheorized in the literature on medical error. After sketching dominant taxonomies of medical error, we turn to the field of social epistemology to understand the role that epistemic schemas play in contributing to medical errors that disproportionately affect patients from marginalized social groups. We examine the effects of this unequal distribution through a detailed case study of ableism. There are (...)
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  10. Charity and Error‐Theoretic Nominalism.Arvid Båve - 2014 - Ratio 28 (3):256-270.
    I here investigate whether there is any version of the principle of charity both strong enough to conflict with an error-theoretic version of nominalism (EN) about abstract objects, and supported by the considerations adduced in favour of interpretive charity in the literature. I argue that in order to be strong enough, the principle, which I call (Charity), would have to read, “For all expressions e, an acceptable interpretation must make true a sufficiently high ratio of accepted sentences containing e”. (...)
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  11. On the Possibility of Wholesale Moral Error.Farbod Akhlaghi - 2021 - Ratio 34 (3):236-247.
    The moral error theory, it seems, could be true. The mere possibility of its truth might also seem inconsequential. But it is not. For, I argue, there is a sense in which the moral error theory is possible that generates an argument against both non‐cognitivism and moral naturalism. I argue that it is an epistemic possibility that morality is subject to some form of wholesale error of the kind that would make the moral error theory true. (...)
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  12. Trial and error mathematics: Dialectical systems and completions of theories.Luca San Mauro, Jacopo Amidei, Uri Andrews, Duccio Pianigiani & Andrea Sorbi - 2019 - Journal of Logic and Computation 1 (29):157-184.
    This paper is part of a project that is based on the notion of a dialectical system, introduced by Magari as a way of capturing trial and error mathematics. In Amidei et al. (2016, Rev. Symb. Logic, 9, 1–26) and Amidei et al. (2016, Rev. Symb. Logic, 9, 299–324), we investigated the expressive and computational power of dialectical systems, and we compared them to a new class of systems, that of quasi-dialectical systems, that enrich Magari’s systems with a natural (...)
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  13. THE COMMON ERRORS IN SUBJECT-VERB AGREEMENT OF STUDENTS ENROLLED IN READING CLINIQUE CENTER.Sammy Q. Dolba - 2023 - Get International Research Journal.
    The researcher pursued the study in the common errors of language learners on subject-verb agreement because Filipino Students learning English have well-formed speech habits in the native language which are totally different in form, meaning and distribution. In the evident that language teaching in the Philippines has not been efficient and effective enough to meet the expectation that English is mastered by the students if it is to become functional for a lifetime. The actual respondents of the study were grouped (...)
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  14. Externalizing psychopatholog yand the error-related negativity.J. R. Hall, E. M. Bernat & C. J. Patrick - 2007 - Psychological Science 18 (4):326-333.
    Prior research has demonstrated that antisocial behavior, substance-use disorders, and personality dimensions of aggression and impulsivity are indicators of a highly heritable underlying dimension of risk, labeled externalizing. Other work has shown that individual trait constructs within this psychopathology spectrum are associated with reduced self-monitoring, as reflected by amplitude of the error-related negativity (ERN) brain response. In this study of undergraduate subjects, reduced ERN amplitude was associated with higher scores on a self-report measure of the broad externalizing construct that (...)
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  15. A Proposed Knowledge Based System for Desktop PC Troubleshooting.Ahmed Wahib Dahouk & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (6):1-8.
    Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...)
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  16. What type of Type I error? Contrasting the Neyman–Pearson and Fisherian approaches in the context of exact and direct replications.Mark Rubin - 2021 - Synthese 198 (6):5809–5834.
    The replication crisis has caused researchers to distinguish between exact replications, which duplicate all aspects of a study that could potentially affect the results, and direct replications, which duplicate only those aspects of the study that are thought to be theoretically essential to reproduce the original effect. The replication crisis has also prompted researchers to think more carefully about the possibility of making Type I errors when rejecting null hypotheses. In this context, the present article considers the utility of two (...)
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  17. Knowledge-based systems that determine the appropriate students major: In the faculty of engineering and information technology.Samy S. Abu Naser & Ihab S. Zaqout - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (10):26-34.
    In this paper a Knowledge-Based System (KBS) for determining the appropriate students major according to his/her preferences for sophomore student enrolled in the Faculty of Engineering and Information Technology in Al-Azhar University of Gaza was developed and tested. A set of predefined criterions that is taken into consideration before a sophomore student can select a major is outlined. Such criterion as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics I taken during (...)
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  18. The impact of error-consequence severity on cue processing in importance-biased prospective memory.Kristina Krasich, Eva Gjorgieva, Samuel Murray, Shreya Bhatia, Myrthe Faber, Felipe De Brigard & Marty Woldorff - forthcoming - Cerebral Cortex Communications.
    Prospective memory (PM) enables people to remember to complete important tasks in the future. Failing to do so can result in consequences of varying severity. Here, we investigated how PM error-consequence severity impacts the neural processing of relevant cues for triggering PM and the ramification of that processing on the associated prospective task performance. Participants role-played a cafeteria worker serving lunches to fictitious students and had to remember to deliver an alternative lunch to students (as PM cues) who would (...)
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  19. De se thoughts and immunity to error through misidentification.Manuel García-Carpintero - 2018 - Synthese 195 (8):3311-3333.
    I discuss an aspect of the relation between accounts of de se thought and the phenomenon of immunity to error through misidentification. I will argue that a deflationary account of the latter—the Simple Account, due to Evans —will not do; a more robust one based on an account of de se thoughts is required. I will then sketch such an alternative account, based on a more general view on singular thoughts, and show how it can deal with the problems (...)
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  20. Evolution of Genetic Information without Error Replication.Guenther Witzany - 2020 - In Theoretical Information Studies. Singapur: pp. 295-319.
    Darwinian evolutionary theory has two key terms, variations and biological selection, which finally lead to survival of the fittest variant. With the rise of molecular genetics, variations were explained as results of error replications out of the genetic master templates. For more than half a century, it has been accepted that new genetic information is mostly derived from random error-based events. But the error replication narrative has problems explaining the sudden emergence of new species, new phenotypic traits, (...)
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  21. A Universal Morality: An account of Moral Objectivity against Moral Error Theory.Utkarsh Rana - manuscript
    Moral error theory is a meta-ethical view that discusses how one makes an error when making a moral judgment or claim. The error resides in the fact that the moral values about which the judgments are made, do not exist in the natural fabric of the world. In the first section of this article, I shall discuss about the moral error theory itself and the claims that it makes. Since the moral error theory in a (...)
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  22.  85
    Prudential Parity Objections to the Moral Error Theory.François Jaquet - 2023 - Journal of Ethics and Social Philosophy 24 (1).
    According to the moral error theory, all moral judgments are false. Until lately, most error theorists were local error theorists; they targeted moral judgments specifically and were less skeptical of other normative areas. These error theorists now face so-called “prudential parity objections”, according to which whatever evidence there is in favor of the moral error theory is also evidence for a prudential error theory. The present paper rejects three prudential parity objections: one based on (...)
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  23. Community-Based Collaborative Archaeology.Alison Wylie - 2014 - In Nancy Cartwright & Eleonora Montuschi (eds.), Philosophy of Social Science: A New Introduction. Oxford University Press. pp. 68-82.
    I focus here on archaeologists who work with Indigenous descendant communities in North America and address two key questions raised by their practice about the advantages of situated inquiry. First, what exactly are the benefits of collaborative practice—what does it contribute, in this case to archaeology? And, second, what is the philosophical rationale for collaborative practice? Why is it that, counter-intuitively for many, collaborative practice has the capacity to improve archaeology in its own terms and to provoke critical scrutiny of (...)
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  24. Getting to know you: Accuracy and error in judgments of character.Evan Westra - 2019 - Mind and Language 35 (5):583-600.
    Character judgments play an important role in our everyday lives. However, decades of empirical research on trait attribution suggest that the cognitive processes that generate these judgments are prone to a number of biases and cognitive distortions. This gives rise to a skeptical worry about the epistemic foundations of everyday characterological beliefs that has deeply disturbing and alienating consequences. In this paper, I argue that this skeptical worry is misplaced: under the appropriate informational conditions, our everyday character-trait judgments are in (...)
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  25. Modeling the interaction of computer errors by four-valued contaminating logics.Roberto Ciuni, Thomas Macaulay Ferguson & Damian Szmuc - 2019 - In Rosalie Iemhoff, Michael Moortgat & Ruy de Queiroz (eds.), Logic, Language, Information, and Computation. Berlín, Alemania: pp. 119-139.
    Logics based on weak Kleene algebra (WKA) and related structures have been recently proposed as a tool for reasoning about flaws in computer programs. The key element of this proposal is the presence, in WKA and related structures, of a non-classical truth-value that is “contaminating” in the sense that whenever the value is assigned to a formula ϕ, any complex formula in which ϕ appears is assigned that value as well. Under such interpretations, the contaminating states represent occurrences of a (...)
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  26. Information Based Hierarchical Brain Organization/Evolution from the Perspective of the Informational Model of Consciousness.Florin Gaiseanu - 2020 - Archives in Neurology and Neuroscience 7 (5):1-9.
    Introduction: This article discusses the brain hierarchical organization/evolution as a consequence of the information-induced brain development, from the perspective of the Informational Model of Consciousness. Analysis: In the frame of the Informational Model of Consciousness, a detailed info-neural analysis ispresented, concerning the specific properties/functions of the informational system of the human body composed by the Center of Acquisition and Storing of Information, Center of Decision and Command, Info-Emotional Center, Maintenance Informational System, Genetic Transmission System, Info Genetic Generator and Info- Connection (...)
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  27. Towards a Typology of Experimental Errors: an Epistemological View.Giora Hon - 1989 - Studies in History and Philosophy of Science Part A 20 (4):469.
    This paper is concerned with the problem of experimental error. The prevalent view that experimental errors can be dismissed as a tiresome but trivial blemish on the method of experimentation is criticized. It is stressed that the occurrence of errors in experiments constitutes a permanent feature of the attempt to test theories in the physical world, and this feature deserves proper attention. It is suggested that a classification of types of experimental error may be useful as a heuristic (...)
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  28. When Explanations "Cause" Error: A Look at Representations and Compressions.Michael Lissack - manuscript
    We depend upon explanation in order to “make sense” out of our world. And, making sense is all the more important when dealing with change. But, what happens if our explanations are wrong? This question is examined with respect to two types of explanatory model. Models based on labels and categories we shall refer to as “representations.” More complex models involving stories, multiple algorithms, rules of thumb, questions, ambiguity we shall refer to as “compressions.” Both compressions and representations are reductions. (...)
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  29. McTaggart on the Unreality of Time: Boghossian's Argument against Error-Theory.Ali Hossein Khani & Saeedeh Shahmir - 2020 - Zehn 81:91-115.
    McTaggart, in his famous paper, “The Unreality of Time” (1908), argues in favor of the sceptical claim that time is unreal. His main argument is based on detecting a paradox in our ordinary descriptions of time or events occurring in time. Based on our common sense conception of time, time and the events happening in it can be described in two ways: either as having the properties of “being past”, “being present” and “being future”, or as having the properties of (...)
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  30. Neural Network-Based Audit Risk Prediction: A Comprehensive Study.Saif al-Din Yusuf Al-Hayik & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):43-51.
    Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...)
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  31. De se thought and immunity to error through misidentification.Hongqing Cui - 2023 - Dissertation, University of Chinese Academy of Social Sciences
    _(MA thesis)_ Immunity to error through misidentification (IEM) describes a sort of immunity against such a situation that the thinker wrongly identifies something as other things. Philosophers consider it as being especially relevant to first-person or de se judgments. Many philosophers seem to advance IEM as an alternative to a Cartesian method of defining first-person privilege and of circumscribing the first-person perspective. However, as more and more representative instances are substantiated as being vulnerable to error through misidentification, it (...)
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  32. Neural Network-Based Water Quality Prediction.Mohammed Ashraf Al-Madhoun & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):25-31.
    Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water (...)
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  33. Machine Learning-Based Diabetes Prediction: Feature Analysis and Model Assessment.Fares Wael Al-Gharabawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):10-17.
    This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to (...)
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  34. A Utility Based Evaluation of Logico-probabilistic Systems.Paul D. Thorn & Gerhard Schurz - 2014 - Studia Logica 102 (4):867-890.
    Systems of logico-probabilistic (LP) reasoning characterize inference from conditional assertions interpreted as expressing high conditional probabilities. In the present article, we investigate four prominent LP systems (namely, systems O, P, Z, and QC) by means of computer simulations. The results reported here extend our previous work in this area, and evaluate the four systems in terms of the expected utility of the dispositions to act that derive from the conclusions that the systems license. In addition to conforming to the dominant (...)
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  35. Deconstructing climate misinformation to identify reasoning errors.John Cook, Dave Kinkead & Peter Ellerton - 2018 - Environmental Research Letters 3.
    Misinformation can have significant societal consequences. For example, misinformation about climate change has confused the public and stalled support for mitigation policies. When people lack the expertise and skill to evaluate the science behind a claim, they typically rely on heuristics such as substituting judgment about something complex (i.e. climate science) with judgment about something simple (i.e. the character of people who speak about climate science) and are therefore vulnerable to misleading information. Inoculation theory offers one approach to effectively neutralize (...)
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  36. Is uncertainty reduction the basis for perception? Errors in Norwich’s Entropy Theory of Perception imply otherwise.Lance Nizami - 2010 - Proceedings of the World Congress on Engineering and Computer Science 2010 (Lecture Notes in Engineering and Computer Science) 2.
    This paper reveals errors within Norwich et al.’s Entropy Theory of Perception, errors that have broad implications for our understanding of perception. What Norwich and coauthors dubbed their “informational theory of neural coding” is based on cybernetics, that is, control and communication in man and machine. The Entropy Theory uses information theory to interpret human performance in absolute judgments. There, the continuum of the intensity of a sensory stimulus is cut into categories and the subject is shown exemplar stimuli of (...)
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  37. McTaggart on the Unreality of Time: Boghossian's Argument against Error-Theory (نقد استدلال مک‌تاگارت در باب غیرواقعی بودن زمان: استدلال بقوسیان علیه نظریه خطا ).Saeedeh Shahmir - 2020 - Zehn 81:91-115.
    McTaggart, in his famous paper, “The Unreality of Time” (1908), argues in favor of the sceptical claim that time is unreal. His main argument is based on detecting a paradox in our ordinary descriptions of time or events occurring in time. Based on our common sense conception of time, time and the events happening in it can be described in two ways: either as having the properties of “being past”, “being present” and “being future”, or as having the properties of (...)
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  38. Recurrent Neural Network Based Speech emotion detection using Deep Learning.P. Pavithra - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):65-77.
    In modern days, person-computer communication systems have gradually penetrated our lives. One of the crucial technologies in person-computer communication systems, Speech Emotion Recognition (SER) technology, permits machines to correctly recognize emotions and greater understand users' intent and human-computer interlinkage. The main objective of the SER is to improve the human-machine interface. It is also used to observe a person's psychological condition by lie detectors. Automatic Speech Emotion Recognition(SER) is vital in the person-computer interface, but SER has challenges for accurate recognition. (...)
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  39. Universal Science of Mind: Can Complexity-Based Artificial Intelligence Save the World in Crisis?Andrei P. Kirilyuk - manuscript
    While practical efforts in the field of artificial intelligence grow exponentially, the truly scientific and mathematically exact understanding of the underlying phenomena of intelligence and consciousness is still missing in the conventional science framework. The inevitably dominating empirical, trial-and-error approach has vanishing efficiency for those extremely complicated phenomena, ending up in fundamentally limited imitations of intelligent behaviour. We provide the first-principle analysis of unreduced many-body interaction process in the brain revealing its qualitatively new features, which give rise to rigorously (...)
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  40. Analyzing the Relationship between Smoking and Drinking Patterns Using Neural Networks: A Comprehensive Feature-Based Approach.Ahmed Samir Abu Al-Hussein, Mona Ayman Abu Aisha, Iman Nahed Saeed Ahleel & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):18-25.
    This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.
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  41. Solucionando o dilema de Jørgensen com base na distinção entre imperativismo e prescritivismo.Ricardo Tavares Da Silva - manuscript
    O dilema de Jørgensen tem atormentado os imperativistas até aos nossos dias. Resumidamente, se há uma Lógica das Normas, então esta tem por elementos proposições (as proposições normativas) e, simultaneamente, tem por elementos imperativos, que não possuem conteúdo proposicional. Neste ensaio, defender-se-á que o imperativismo é totalmente compatível com a concebilidade de uma Lógica Deôntica de proposições, pelo que não é necessário afastá-lo para manter a referida concebilidade (ainda que haja outras razões para rejeitar o imperativismo). Todas as posições que (...)
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  42. On the unreliability of introspection.Declan Smithies - 2013 - Philosophical Studies 165 (3):1177-1186.
    In his provocative and engaging new book, Perplexities of Consciousness, Eric Schwitzgebel makes a compelling case that introspection is unreliable in the sense that we are prone to ignorance and error in making introspective judgments about our own conscious experience. My aim in this commentary is to argue that Schwitzgebel’s thesis about the unreliability of introspection does not have the damaging implications that he claims it does for the prospects of a broadly Cartesian approach to epistemology.
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  43. Why Queerness is not enough.Kretz David - 2014 - Romanian Journal of Analytic Philosophy 8 (1):32-43.
    Moral error theorists often claim to be strongly anti‑metaphysical in their moral scepticism and atheistic naturalists. This paper argues that pre‑ cisely this becomes a problem for them, when their metaethical and ontologi‑ cal commitments clash. I first outline how the known arguments against error theory face a problematic, yet rarely considered trade‑off : either they are very strong, then they are also very demanding in their assumptions or they are less demanding in their assumptions but rather weak (...)
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  44. Can Pascal’s Wager Save Morality from Ockham’s Razor?Tobias Beardsley - 2021 - Philosophia 50 (2):405-424.
    One version of moral error theory maintains that the central problem with morality is an ontological commitment to irreducible normativity. This paper argues that this version of error theory ultimately depends on an appeal to Ockham’s Razor, and that Ockham’s Razor should not be applied to irreducible normativity. This is because the appeal to Ockham’s Razor always contains an intractable element of epistemic circularity; and if this circularity is not vicious, we can construct a sound argument for the (...)
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  45. The Defence of Belief in Consent: Guidelines and Jury Instructions for Application of Criminal Code Section 265(4).Lucinda Vandervort - 2005 - Criminal Law Quarterly 50 (4):441-452.
    The availability of the defence of belief in consent under section 265(4) is a question of law, subject to review on appeal. The statutory provision is based on the common law rule that applies to all defences. Consideration of the defence when it is unavailable in law and failure to consider it when it is available are both incorrect. A judge is most likely to avoid error when ruling on availability of the defence if the ruling: (1) is grounded (...)
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  46. Argument maps improve critical thinking.Charles Twardy - 2004 - Teaching Philosophy 27 (2):95--116.
    Computer-based argument mapping greatly enhances student critical thinking, more than tripling absolute gains made by other methods. I describe the method and my experience as an outsider. Argument mapping often showed precisely how students were erring (for example: confusing helping premises for separate reasons), making it much easier for them to fix their errors.
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  47. Immunity, thought insertion, and the first-person concept.Michele Palmira - 2020 - Philosophical Studies 177 (12):3833-3860.
    In this paper I aim to illuminate the significance of thought insertion for debates about the first-person concept. My starting point is the often-voiced contention that thought insertion might challenge the thesis that introspection-based self-ascriptions of psychological properties are immune to error through misidentification relative to the first-person concept. In the first part of the paper I explain what a thought insertion-based counterexample to this immunity thesis should be like. I then argue that various thought insertion-involving scenarios do not (...)
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  48. Introspective misidentification.Peter Langland-Hassan - 2015 - Philosophical Studies 172 (7):1737-1758.
    It is widely held that introspection-based self-ascriptions of mental states are immune to error through misidentification , relative to the first person pronoun. Many have taken such errors to be logically impossible, arguing that the immunity holds as an “absolute” necessity. Here I discuss an actual case of craniopagus twins—twins conjoined at the head and brain—as a means to arguing that such errors are logically possible and, for all we know, nomologically possible. An important feature of the example is (...)
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  49. Inherence of False Beliefs in Spinoza’s Ethics.Oliver Istvan Toth - 2016 - Society and Politics 10 (2):74-94.
    In this paper I argue, based on a comparison of Spinoza's and Descartes‟s discussion of error, that beliefs are affirmations of the content of imagination that is not false in itself, only in relation to the object. This interpretation is an improvement both on the winning ideas reading and on the interpretation reading of beliefs. Contrary to the winning ideas reading it is able to explain belief revision concerning the same representation. Also, it does not need the assumption that (...)
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  50. Models, Brains, and Scientific Realism.Fabio Sterpetti - 2006 - In Lorenzo Magnani & Claudia Casadio (eds.), Model Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues. Springer. pp. 639-661.
    Prediction Error Minimization theory (PEM) is one of the most promising attempts to model perception in current science of mind, and it has recently been advocated by some prominent philosophers as Andy Clark and Jakob Hohwy. Briefly, PEM maintains that “the brain is an organ that on aver-age and over time continually minimizes the error between the sensory input it predicts on the basis of its model of the world and the actual sensory input” (Hohwy 2014, p. 2). (...)
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