Results for 'Fahmi Khalifa'

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  1. A hybrid Automated Intelligent COVID-19 Classification System Based on Neutrosophic Logic and Machine Learning Techniques Using Chest X-ray Images.Ibrahim Yasser, Aya A. Abd El-Khalek, A. A. Salama, Abeer Twakol, Mohy-Eldin Abo-Elsoud & Fahmi Khalifa - forthcoming - In Ibrahim Yasser, Aya A. Abd El-Khalek, A. A. Salama, Abeer Twakol, Mohy-Eldin Abo-Elsoud & Fahmi Khalifa (eds.), Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 Pandemic (DSIDC-COVID-19) ,Studies in Systems, Decision and Control.
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  2. Collected Papers (on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics), Volume XI.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli (...)
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  3. Scientific Representation: An Inferentialist-Expressivist Manifesto.Kareem Khalifa, Jared Millson & Mark Risjord - 2022 - Philosophical Topics 50 (1):263-291.
    This essay presents a fully inferentialist-expressivist account of scientific representation. In general, inferentialist approaches to scientific representation argue that the capacity of a model to represent a target system depends on inferences from models to target systems. Inferentialism is attractive because it makes the epistemic function of models central to their representational capacity. Prior inferentialist approaches to scientific representation, however, have depended on some representational element, such as denotation or representational force. Brandom’s Making It Explicit provides a model of how (...)
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  4. Integrating Philosophy of Understanding with the Cognitive Sciences.Kareem Khalifa, Farhan Islam, J. P. Gamboa, Daniel Wilkenfeld & Daniel Kostić - 2022 - Frontiers in Systems Neuroscience 16.
    We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.
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  5. Is understanding explanatory or objectual?Kareem Khalifa - 2013 - Synthese 190 (6):1153-1171.
    Jonathan Kvanvig has argued that “objectual” understanding, i.e. the understanding we have of a large body of information, cannot be reduced to explanatory concepts. In this paper, I show that Kvanvig fails to establish this point, and then propose a framework for reducing objectual understanding to explanatory understanding.
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  6. Active Sympathetic Participation: Reconsidering Kant's Duty of Sympathy.Melissa Seymour Fahmy - 2009 - Kantian Review 14 (1):31-52.
    In the Doctrine of Virtue Kant divides duties of love into three categories: beneficent activity , gratitude and Teilnehmung – commonly referred to as the duty of sympathy . In this paper I will argue that the content and scope of the third duty of love has been underestimated by both critics and defenders of Kant's ethical theory. The account which pervades the secondary literature maintains that the third duty of love includes only two components: an obligation to make use (...)
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  7. Understanding, Truth, and Epistemic Goals.Kareem Khalifa - 2020 - Philosophy of Science 87 (5):944-956.
    Several argue that truth cannot be science’s sole epistemic goal, for it would fail to do justice to several scientific practices that advance understanding. I challenge these arguments, but only after making a small concession: science’s sole epistemic goal is not truth as such; rather, its goal is finding true answers to relevant questions. Using examples from the natural and social sciences, I then show that scientific understanding’s epistemically valuable features are either true answers to relevant questions or a means (...)
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  8. (2 other versions)Counterfactuals and Explanatory Pluralism.Kareem Khalifa, Gabriel Doble & Jared Millson - 2018 - British Journal for the Philosophy of Science 71 (4):1439-1460.
    Recent literature on non-causal explanation raises the question as to whether explanatory monism, the thesis that all explanations submit to the same analysis, is true. The leading monist proposal holds that all explanations support change-relating counterfactuals. We provide several objections to this monist position. 1Introduction2Change-Relating Monism's Three Problems3Dependency and Monism: Unhappy Together4Another Challenge: Counterfactual Incidentalism4.1High-grade necessity4.2Unity in diversity5Conclusion.
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  9. Should friends and frenemies of understanding be friends? Discussing de Regt.Kareem Khalifa - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge.
    In earlier work, I criticized de Regt’s contextual theory of understanding, and advertised the advantages of my own, knowledge-based account. Using the early history of the standard model in particle physics as an illustration, I instead consider the benefits of unifying these two accounts of understanding. I argue that de Regt’s account substantially improves my own account of explanatory consideration, and that my account of explanatory comparison substantially improves upon his account of explanatory evaluation. De Regt and my apparent disagreement (...)
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  10. Inference, Explanation, and Asymmetry.Kareem Khalifa, Jared Millson & Mark Risjord - 2018 - Synthese (Suppl 4):929-953.
    Explanation is asymmetric: if A explains B, then B does not explain A. Tradition- ally, the asymmetry of explanation was thought to favor causal accounts of explanation over their rivals, such as those that take explanations to be inferences. In this paper, we develop a new inferential approach to explanation that outperforms causal approaches in accounting for the asymmetry of explanation.
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  11. Must Understanding Be Coherent?Kareem Khalifa - 2017 - In Stephen Grimm Christoph Baumberger & Sabine Ammon (eds.), Explaining Understanding: New Perspectives from Epistemology and Philosophy of Science. Routledge. pp. 139-164.
    Several authors suggest that understanding and epistemic coherence are tightly connected. Using an account of understanding that makes no appeal to coherence, I explain away the intuitions that motivate this position. I then show that the leading coherentist epistemologies only place plausible constraints on understanding insofar as they replicate my own account’s requirements. I conclude that understanding is only superficially coherent.
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  12. Understanding, grasping and luck.Kareem Khalifa - 2013 - Episteme 10 (1):1-17.
    Recently, it has been debated as to whether understanding is a species of explanatory knowledge. Those who deny this claim frequently argue that understanding, unlike knowledge, can be lucky. In this paper I argue that current arguments do not support this alleged compatibility between understanding and epistemic luck. First, I argue that understanding requires reliable explanatory evaluation, yet the putative examples of lucky understanding underspecify the extent to which subjects possess this ability. In the course of defending this claim, I (...)
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  13. Decoupling Topological Explanations from Mechanisms.Daniel Kostic & Kareem Khalifa - 2023 - Philosophy of Science 90 (2):245 - 268.
    We provide three innovations to recent debates about whether topological or “network” explanations are a species of mechanistic explanation. First, we more precisely characterize the requirement that all topological explanations are mechanistic explanations and show scientific practice to belie such a requirement. Second, we provide an account that unifies mechanistic and non-mechanistic topological explanations, thereby enriching both the mechanist and autonomist programs by highlighting when and where topological explanations are mechanistic. Third, we defend this view against some powerful mechanist objections. (...)
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  14. (1 other version)Perspectives, Questions, and Epistemic Value.Kareem Khalifa & Jared A. Millson - 2019 - In Michela Massimi (ed.), Knowledge From a Human Point of View. Springer Verlag.
    Many epistemologists endorse true-belief monism, the thesis that only true beliefs are of fundamental epistemic value. However, this view faces formidable counterexamples. In response to these challenges, we alter the letter, but not the spirit, of true-belief monism. We dub the resulting view “inquisitive truth monism,” which holds that only true answers to relevant questions are of fundamental epistemic value. Which questions are relevant is a function of an inquirer’s perspective, which is characterized by his/her interests, social role, and background (...)
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  15. Introduction.Kareem Kareem Khalifa, Insa Lawler & Elay Shech - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge.
    This chapter gives an overview of the various themes and issues discussed in the volume. It includes summaries of all chapters and places the contributions, some of which are part of a critical conversation format, in the context of the larger literature and debates.
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  16. Introduction to the edited volume “Scientific Understanding and Representation: Modeling in the Physical Sciences”.Kareem Khalifa, Insa Lawler & Elay Shech - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge.
    This chapter gives an overview of the various themes and issues discussed in the volume. It includes summaries of all chapters and places the contributions, some of which are part of a critical conversation format, in the context of the larger literature and debates.
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  17. The Directionality of Topological Explanations.Daniel Kostić & Kareem Khalifa - 2021 - Synthese (5-6):14143-14165.
    Proponents of ontic conceptions of explanation require all explanations to be backed by causal, constitutive, or similar relations. Among their justifications is that only ontic conceptions can do justice to the ‘directionality’ of explanation, i.e., the requirement that if X explains Y , then not-Y does not explain not-X . Using topological explanations as an illustration, we argue that non-ontic conceptions of explanation have ample resources for securing the directionality of explanations. The different ways in which neuroscientists rely on multiplexes (...)
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  18. On Characterizing Efficient and Properly Efficient Solutions for Multi- Objective Programming Problems in a Complex Space.Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa & Florentin Smarandache - 2023 - Journal of Optimization in Industrial Engineering 16 (2):369-375.
    In this paper, a complex non- linear programming problem with the two parts (real and imaginary) is considered. The efficient and proper efficient solutions in terms of optimal solutions of related appropriate scalar optimization problems are characterized. Also, the Kuhn-Tuckers' conditions for efficiency and proper efficiency are derived. This paper is divided into two independently parts: The first provides the relationships between the optimal solutions of a complex single-objective optimization problem and solutions of two related real programming problems. The second (...)
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  19. Realism and Antirealism.Randall Harp & Kareem Khalifa - 2016 - In Lee C. McIntyre & Alexander Rosenberg (eds.), The Routledge Companion to Philosophy of Social Science. New York: Routledge. pp. 254-269.
    Our best social scientific theories try to tell us something about the social world. But is talk of a “social world” a metaphor that we ought not take too seriously? In particular, do the denizens of the social world—cultural values like the Protestant work ethic, firms like ExxonMobil, norms like standards of dress and behavior, institutions like the legal system, teams like FC Barcelona, conventions like marriages—exist? The question is not merely academic. Social scientists use these different social entities to (...)
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  20. Non-factive Understanding: A Statement and Defense.Yannick Doyle, Spencer Egan, Noah Graham & Kareem Khalifa - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (3):345-365.
    In epistemology and philosophy of science, there has been substantial debate about truth’s relation to understanding. “Non-factivists” hold that radical departures from the truth are not always barriers to understanding; “quasi-factivists” demur. The most discussed example concerns scientists’ use of idealizations in certain derivations of the ideal gas law from statistical mechanics. Yet, these discussions have suffered from confusions about the relevant science, as well as conceptual confusions. Addressing this example, we shall argue that the ideal gas law is best (...)
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  21. Choice Experiment Attributes Selection: Problems and Approaches in a Modal Shift Study in Klang Valley, Malaysia.Sara Kaffashi, Mad Nasir Shamsudin, Alias Radam, Shaufique Fahmi Sidique, Maynard Clark, Abdullatif Bazrbachi, Khalid Abdul Rahim & Shehu Usman Adam - 2016 - Asian Social Science 12 (1):75-83.
    Choice experiment (CE) is a questionnaire based method that the accuracy of research questionnaire determines the validity of the research outcomes. Attribute selection has a prime importance in every CE studies. If respondents do not understand or do not have preference for a certain attribute, the attribute non-attendance problem might happen that biases overall results of the research. Qualitative approaches such as literature review, focus group discussion, and in depth discussion commonly applied in CE researches. However, especially in the developing (...)
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  22. Topological Explanations: An Opinionated Appraisal.Daniel Kostić - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge. pp. 96-115.
    This chapter provides a systematic overview of topological explanations in the philosophy of science literature. It does so by presenting an account of topological explanation that I (Kostić and Khalifa 2021; Kostić 2020a; 2020b; 2018) have developed in other publications and then comparing this account to other accounts of topological explanation. Finally, this appraisal is opinionated because it highlights some problems in alternative accounts of topological explanations, and also it outlines responses to some of the main criticisms raised by (...)
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  23. Idealization and Many Aims.Angela Potochnik - 2020 - Philosophy of Science 87 (5):933-943.
    In this paper, I first outline the view developed in my recent book on the role of idealization in scientific understanding. I discuss how this view leads to the recognition of a number of kinds of variability among scientific representations, including variability introduced by the many different aims of scientific projects. I then argue that the role of idealization in securing understanding distances understanding from truth, but that this understanding nonetheless gives rise to scientific knowledge. This discussion will clarify how (...)
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  24. Scientific Antirealists Have Set Fire to Their Own Houses.Seungbae Park - 2017 - Prolegomena 16 (1):23-37.
    Scientific antirealists run the argument from underconsideration against scientific realism. I argue that the argument from underconsideration backfires on antirealists’ positive philosophical theories, such as the contextual theory of explanation (van Fraassen, 1980), the English model of rationality (van Fraassen, 1989), the evolutionary explanation of the success of science (Wray, 2008; 2012), and explanatory idealism (Khalifa, 2013). Antirealists strengthen the argument from underconsideration with the pessimistic induction against current scientific theories. In response, I construct a pessimistic induction against antirealists (...)
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  25. Collected Papers (Neutrosophics and other topics), Volume XIV.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran Andujar, (...)
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  26. Collected Papers (on various scientific topics), Volume XIII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; (...)
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  27. Collected Papers (on various scientific topics), Volume XII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, (...)
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