Results for 'René M. Müri'

986 found
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  1. DID I DO IT? -YEAH, YOU DID!Muñoz-Suárez Carlos M. & Campis René J. - 2008 - Reduction and Elimination in Philosophy and the Sciences:34- 37.
    In this paper we analyze Libet’s conclusions on «free will» (FW), rejecting his view of the concept and defending a partially aligned view with Wittgenstein’s early remarks on FW. First, the concept of Readiness Potential (RP) and Libet’s view are presented. Second, we offer an account of Wittgenstein´s point of view. Third, a dual-domain analysis is proposed; finally, we offer our conclusions. This article´s conclusion is part of an ongoing research.
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  2. Derrida degree: A question of honour.Barry Smith, Hans Albert, David M. Armstrong, Ruth Barcan Marcus, Keith Campbell, Richard Glauser, Rudolf Haller, Massimo Mugnai, Kevin Mulligan, Lorenzo Peña, Willard Van Orman Quine, Wolfgang Röd, Karl Schuhmann, Daniel Schulthess, Peter M. Simons, René Thom, Dallas Willard & Jan Wolenski - 1992 - The Times 9 (May 9).
    A letter to The Times of London, May 9, 1992 protesting the Cambridge University proposal to award an honorary degree to M. Jacques Derrida.
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  3. Les lumières de Mario Bunge. Pour la méthode.Normand Baillargeon & Jean-René Roy - 2020 - Mεtascience: Discours Général Scientifique 1:247-267.
    Ce texte est le fruit d’une collaboration entre un astrophysicien, Jean-René Roy, et un philosophe de l’éducation, Normand Baillargeon. Ils ont en commun d’avoir été marqués par la fréquentation des oeuvres de Mario Bunge, auxquelles ils attachent un grand prix, sur un plan personnel, d’abord, mais aussi, et c’est ce qu’ils veulent rappeler dans ces pages : parce qu’ils estiment que les oeuvres de Bunge contribuent de manière extrêmement forte et positive à rendre plus salubre la vie de l’esprit, (...)
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  4. Sympathy and Scapegoating in J.M. Coetzee.Andy Lamey - 2010 - In Anton Leist & Peter Singer, J. M. Coetzee and Ethics: Philosophical Perspectives on Literature. Columbia University Press.
    J.M. Coetzee’s book, 'Elizabeth Costello' is one of the stranger works to appear in recent years. Yet if we focus our attention on the book’s two chapters dealing with animals, two preoccupations emerge. The first sees Coetzee use animals to evoke a particular conception of ethics, one similar to that of the philosopher Mary Midgley. Coetzee’s second theme connects animals to the phenomena of scapegoating, as it has been characterized by the philosophical anthropologist René Girard. While both themes involve (...)
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  5. Descartes: A Biography; Cogito, Ergo Sum: The Life of René Descartes. [REVIEW]Gary Hatfield - 2008 - Isis 99 (1):177-178.
    Review of Desmond M. Clarke. Descartes: A Biography. xi + 507 pp., apps., figs., bibl., index. Cambridge: Cambridge University Press, 2006. $40 (cloth).; Richard Watson, Cogito, Ergo Sum: The Life of René Descartes. viii + 375 pp., figs., bibl., index. Boston: David R. Godine, 2002. $35 (cloth).
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  6. Roger Ariew, Dennis Des Chene, Douglas M. Jesseph, Tad M. Schmaltz, and Theo Verbeek. Historical Dictionary of Descartes and Cartesian Philosophy. 2nd ed. Lanham, MD: Rowman & Littlefield, 2015. Pp. 408. $115.00 ; $109.99. [REVIEW]Karen Detlefsen - 2016 - Hopos: The Journal of the International Society for the History of Philosophy of Science 6 (2):345-348.
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  7. Relação e Efeitos Bioquímico-nutricionais Sobre os Cistos Ovarianos em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE OS CISTOS OVARIANOS EM VACAS Emanuel Isaque Cordeiro da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim emanuel.isaque@ufrpe.br ou eics@discente.ifpe.edu.br WhatsApp: (82)98143-8399 11. CISTOS OVÁRICOS Os cistos são cavidades anormais que às vezes possuem conteúdo de fluido biológico, ou podem ser cavidades ocas, com paredes sólidas refratárias à maioria dos compostos endógenos. Formam-se como alterações patológicas das células luteais ou foliculares do estroma ovárico. A presença de cistos altera o ciclo estral e obriga a (...)
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  8. Breve Histórico do Ensino de Filosofia no Brasil.Emanuel Isaque Cordeiro da Silva - manuscript
    O ensino de filosofia seguiu uma rota tortuosa desde a colônia até os tempos atuais. O breve histórico desse percurso tem o objetivo de reafirmar a necessidade dessa disciplina no currículo escolar, sobretudo porque sempre há aqueles que a consideram de pouca importância. No entanto, em um mundo cada vez mais pragmático, a formação exclusivamente técnica de nossos jovens dificulta o processo de conscientização crítica, além de desprezar a herança de uma sabedoria milenar. Os primeiros tempos No Brasil, desde o (...)
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  9. What Emergence Can Possibly Mean.Sean M. Carroll & Achyuth Parola - manuscript
    We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are “novel” or “unexpected.” We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels. -/- Submitted to a volume on Real Patterns (Tyler Milhouse, ed.), to be published by MIT Press.
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  10. Much Ado About Nothing: Unmotivating "Gender Identity".E. M. Hernandez & Rowan Bell - forthcoming - Ergo: An Open Access Journal of Philosophy.
    Recently, the concept of "gender identity" has enjoyed a great deal of attention in gender metaphysics. This seems to be motivated by the goal of creating trans-inclusive theory, by explaining trans people's genders. In this paper, we aim to unmotivate this project. Notions of "gender identity" serve important pragmatic purposes for trans people, such as satisfying the curiosity of non-trans people, and, relatedly, securing our access to important goods like legal rights and medical care. However, we argue that this does (...)
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  11. Authority or Autonomy? Philosophical and Psychological Perspectives on Deference to Experts.Alex Worsnip, Devin Lane, Samuel Pratt, M. Giulia Napolitano, Kurt Gray & Jeffrey A. Greene - forthcoming - Philosophical Psychology.
    Several decades of work in both philosophy and psychology acutely highlights our limitations as individual inquirers. One way to recognize these limitations is to defer to experts: roughly, to form one’s beliefs on the basis of expert testimony. Yet, as has become salient in the age of Brexit, Trumpist politics, and climate change denial, people are often mistrustful of experts, and unwilling to defer to them. It’s a trope of highbrow public discourse that this unwillingness is a serious pathology. But (...)
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  12. Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges.Mohammed Hazem M. Hamadaqa, Mohammad Alnajjar, Mohammed N. Ayyad, Mohammed A. Al-Nakhal, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):16-23.
    Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...)
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  13. Totalism without Repugnance.Jacob M. Nebel - 2022 - In Jeff McMahan, Timothy Campbell, Ketan Ramakrishnan & Jimmy Goodrich, Ethics and Existence: The Legacy of Derek Parfit. New York, NY: Oxford University Press. pp. 200-231.
    Totalism is the view that one distribution of well-being is better than another just in case the one contains a greater sum of well-being than the other. Many philosophers, following Parfit, reject totalism on the grounds that it entails the repugnant conclusion: that, for any number of excellent lives, there is some number of lives that are barely worth living whose existence would be better. This paper develops a theory of welfare aggregation—the lexical-threshold view—that allows totalism to avoid the repugnant (...)
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  14. Fraudulent Financial Transactions Detection Using Machine Learning.Mosa M. M. Megdad, Samy S. Abu-Naser & Bassem S. Abu-Nasser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (3):30-39.
    It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...)
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  15. INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):247-259.
    The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the GSM network system. The system uses various sensors to detect fire, smoke, and gas, then transmits the message using GSM module. After the message, send by the module the help arrives in 15 minutes. The (...)
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  16. CONTAINMENT ZONE ALERTING APPLICATION A PROJECT BASED LEARNING REPORT.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):233-246.
    The World Health Organization has declared the outbreak of the novel coronavirus, Covid-19 as pandemic across the world. With its alarming surge of affected cases throughout the world, lockdown, and awareness (social distancing, use of masks etc.) among people are found to be the only means for restricting the community transmission. In a densely populated country like India, it is very difficult to prevent the community transmission even during lockdown without social awareness and precautionary measures taken by the people. Recently, (...)
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  17. How to Do Things with Gendered Words.E. M. Hernandez & Archie Crowley - 2024 - In Ernest Lepore & Luvell Anderson, The Oxford Handbook of Applied Philosophy of Language. New York, NY: Oxford University Press.
    With increased visibility of trans people comes increased philosophical interest in gendered language. This chapter aims to look at the research on gendered language in analytic philosophy of language so far, which has focused on two concerns: (1) determining how to define gender terms like ‘man’ and ‘woman’ such that they are trans inclusive and (2) if, or to what extent, we should use gendered language at all. We argue that the literature has focused too heavily on how gendered language (...)
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  18. AI-Driven Innovations in Agriculture: Transforming Farming Practices and Outcomes.Jehad M. Altayeb, Hassam Eleyan, Nida D. Wishah, Abed Elilah Elmahmoum, Ahmed J. Khalil, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):1-6.
    Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
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  19. Symmetry, Invariance, and Imprecise Probability.Zachary Goodsell & Jacob M. Nebel - forthcoming - Mind.
    It is tempting to think that a process of choosing a point at random from the surface of a sphere can be probabilistically symmetric, in the sense that any two regions of the sphere which differ by a rotation are equally likely to include the chosen point. Isaacs, Hájek, and Hawthorne (2022) argue from such symmetry principles and the mathematical paradoxes of measure to the existence of imprecise chances and the rationality of imprecise credences. Williamson (2007) has argued from a (...)
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  20. Classification of Anomalies in Gastrointestinal Tract Using Deep Learning.Ibtesam M. Dheir & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):15-28.
    Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...)
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  21. Muay Thai, psychological well-being, and cultivation of combat-relevant affordances.Adam M. Croom - 2022 - Philosophies 7 (3):65.
    Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...)
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  22. Rank-Weighted Utilitarianism and the Veil of Ignorance.Jacob M. Nebel - 2020 - Ethics 131 (1):87-106.
    Lara Buchak argues for a version of rank-weighted utilitarianism that assigns greater weight to the interests of the worse off. She argues that our distributive principles should be derived from the preferences of rational individuals behind a veil of ignorance, who ought to be risk averse. I argue that Buchak’s appeal to the veil of ignorance leads to a particular way of extending rank-weighted utilitarianism to the evaluation of uncertain prospects. This method recommends choices that violate the unanimous preferences of (...)
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  23. Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...)
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  24. Extensive Measurement in Social Choice.Jacob M. Nebel - 2024 - Theoretical Economics 19 (4):1581-1618.
    Extensive measurement is the standard measurement-theoretic approach for constructing a ratio scale. It involves the comparison of objects that can be concatenated in an additively representable way. This paper studies the implications of extensively measurable welfare for social choice theory. We do this in two frameworks: an Arrovian framework with a fixed population and no interpersonal comparisons, and a generalized framework with variable populations and full interpersonal comparability. In each framework we use extensive measurement to introduce novel domain restrictions, independence (...)
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  25. RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
    Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...)
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  26. Empirical Challenges to the Evidential Problem of Evil.Blake McAllister, Ian M. Church, Paul Rezkalla & Long Nguyen - 2024 - In Shaun Nichols & Joshua Knobe, Oxford Studies in Experimental Philosophy, Volume 5. Oxford University Press.
    The problem of evil is broadly considered to be one of the greatest intellectual threats to traditional brands of theism. And William Rowe’s 1979 formulation of the problem in “The Problem of Evil and Some Varieties of Atheism” is the most cited formulation in the contemporary philosophical literature. In this paper, we explore how the tools and resources of experimental philosophy might be brought to bear on Rowe’s seminal formulation, arguing that our empirical findings raise significant questions regarding the ultimate (...)
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  27.  36
    An Innovative Way of Trackable GDS in the Field of CC.K. Krishna Kumar Megha Pandey, Subramani K., Madeswaran A., Hassan M. Al-Jawahry, Mallesh Sudhamalla, Neeti Misra - 2024 - International Conference on Advance Computing and Innovative Technologies in Engineering 4 (1):1570-1580.
    It is important to provide security and efficient data exchange in cloud infrastructure and achieve traceability and anonymity of data. mean For high levels of safety and performance in one Anonymously, this article addresses the topic It allows data to be exchanged and stored between members of the same group in the cloud. Proposed arrangement creates unique and traceable group data sharing policies using group signatures and special agreements Strategies to accomplish these goals. this Facilitates anonymous communication between systems Public (...)
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  28. SVM-Enhanced Intrusion Detection System for Effective Cyber Attack Identification and Mitigation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-403.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. By leveraging (...)
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  29. IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.
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  30. Existing Ethical Tensions in Xenotransplantation.L. Syd M. Johnson - 2022 - Cambridge Quarterly of Healthcare Ethics 31 (3):355-367.
    The genetic modification of pigs as a source of transplantable organs is one of several possible solutions to the chronic organ shortage. This paper describes existing ethical tensions in xenotransplantation (XTx) that argue against pursuing it. Recommendations for lifelong infectious disease surveillance and notification of close contacts of recipients are in tension with the rights of human research subjects. Parental/guardian consent for pediatric xenograft recipients is in tension with a child’s right to an open future. Individual consent to transplant is (...)
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  31. Transforming Consumer Behavior Analysis with Cutting-Edge Machine Learning.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):360-368.
    The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.
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  32. PHISHING CONTENT CLASSIFICATION USING DYNAMIC WEIGHTING AND GENETIC RANKING OPTIMIZATION ALGORITHM.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):471-485.
    Phishing attacks remain one of the most prevalent cybersecurity threats, affecting individuals and organizations globally. The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection (...)
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  33. Deep Learning Techniques for Comprehensive Emotion Recognition and Behavioral Regulation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):383-389.
    Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...)
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  34. Varieties of Bias.Gabbrielle M. Johnson - 2024 - Philosophy Compass (7):e13011.
    The concept of bias is pervasive in both popular discourse and empirical theorizing within philosophy, cognitive science, and artificial intelligence. This widespread application threatens to render the concept too heterogeneous and unwieldy for systematic investigation. This article explores recent philosophical literature attempting to identify a single theoretical category—termed ‘bias’—that could be unified across different contexts. To achieve this aim, the article provides a comprehensive review of theories of bias that are significant in the fields of philosophy of mind, cognitive science, (...)
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  35. Affirmative Action, Paternalism, and Respect.Andreas Bengtson & Viki Møller Lyngby Pedersen - forthcoming - British Journal of Political Science.
    This article investigates the hitherto under-examined relations between affirmative action, paternalism and respect. We provide three main arguments. First, we argue that affirmative action initiatives are typically paternalistic and thus disrespectful towards those intended beneficiaries who oppose the initiatives in question. Second, we argue that not introducing affirmative action can also be disrespectful towards these potential beneficiaries because such inaction involves a failure to adequately recognize their moral worth. Third, we argue that the paternalistic disrespect involved in affirmative action is (...)
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  36. Hannah Arendt on Racist Logomania.Joshua M. Hall - forthcoming - Journal of Mind and Behavior.
    In the present article, I offer a new reading of Hannah Arendt’s The Origins of Totalitarianism, specifically her argument that ideologies such as racism engender totalitarianism when the lonely and disenfranchised laborers of modern society develop a pathological fixation on formal logic, which I term “logomania.” That is, such logical deductions, from horrifically false premises, are the closest thing to thinking that individuals can engage in after their psyches, relationships, and communities have broken down. And it is only thus that (...)
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  37. Multipath Routing Optimization for Enhanced Load Balancing in Data-Heavy Networks.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):377-382.
    In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by modern (...)
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  38. No entailing laws, but enablement in the evolution of the biosphere.G. Longo, M. Montévil & S. Kauffman - 2012 - In G. Longo, M. Montévil & S. Kauffman, Genetic and Evolutionary Computation Conference. Acm. pp. 1379 -1392.
    Biological evolution is a complex blend of ever changing structural stability, variability and emergence of new phe- notypes, niches, ecosystems. We wish to argue that the evo- lution of life marks the end of a physics world view of law entailed dynamics. Our considerations depend upon dis- cussing the variability of the very ”contexts of life”: the in- teractions between organisms, biological niches and ecosys- tems. These are ever changing, intrinsically indeterminate and even unprestatable: we do not know ahead of (...)
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  39. Recovery without normalisation: It's not necessary to be normal, not even in psychiatry.Zsuzsanna Chappell & Sofia M. I. Jeppsson - 2023 - Clinical Ethics 18 (3):298-305.
    In this paper, we argue that there are reasons to believe that an implicit bias for normalcy influences what are considered medically necessary treatments in psychiatry. First, we outline two prima facie reasons to suspect that this is the case. A bias for ‘the normal’ is already documented in disability studies; it is reasonable to suspect that it affects psychiatry too, since psychiatric patients, like disabled people, are often perceived as ‘weird’ by others. Secondly, psychiatry's explicitly endorsed values of well-being (...)
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  40. Asymmetries in the Value of Existence.Jacob M. Nebel - 2019 - Philosophical Perspectives 33 (1):126-145.
    According to asymmetric comparativism, it is worse for a person to exist with a miserable life than not to exist, but it is not better for a person to exist with a happy life than not to exist. My aim in this paper is to explain how asymmetric comparativism could possibly be true. My account of asymmetric comparativism begins with a different asymmetry, regarding the (dis)value of early death. I offer an account of this early death asymmetry, appealing to the (...)
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  41. The Evil-God Challenge: Extended and Defended.John M. Collins - 2019 - Religious Studies 55 (1):85-109.
    Stephen Law developed a challenge to theism, known as the evil-god challenge (Law (2010) ). The evil-god challenge to theism is to explain why the theist’s responses to the problem of evil are any better than the diabolist’s – who believes in a supremely evil god – rejoinders to the problem of good, when all the theist’s ploys (theodicy, sceptical theism, etc.) can be parodied by the diabolist. In the first part of this article, I extend the evil-god challenge by (...)
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  42. The Evolution of AI in Autonomous Systems: Innovations, Challenges, and Future Prospects.Ashraf M. H. Taha, Zakaria K. D. Alkayyali, Qasem M. M. Zarandah, Bassem S. Abu-Nasser, & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):1-7.
    Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...)
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  43. The (Dis)unity of Psychological (Social) Bias.Gabbrielle M. Johnson - 2024 - Philosophical Psychology (6):1349-1377.
    This paper explores the complex nature of social biases, arguing for a functional framework that recognizes their unity and diversity. The functional approach posits that all biases share a common functional role in overcoming underdetermination. This framework, I argue, provides a comprehensive understanding of how all psychological biases, including social biases, are unified. I then turn to the question of disunity, demonstrating how psychological social biases differ systematically in the mental states and processes that constitute them. These differences indicate that (...)
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  44. Deductive Computing over Knowledge Bases: Prolog and Datalog.Luis M. Augusto - 2024 - Journal of Knowledge Structures and Systems 5 (1):1-62.
    Knowledge representation (KR) is actually more than representation: It involves also inference, namely inference of “new” knowledge, i.e. new facts. Logic programming is a suitable KR medium, but more often than not discussions on this programming paradigm focus on aspects other than KR. In this paper, I elaborate on the general theory of logic programming and give the essentials of two of its main implementations, to wit, Prolog and Datalog, from the viewpoint of deductive computing over knowledge bases, which includes (...)
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  45. Credit Score Classification Using Machine Learning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (5):1-10.
    Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...)
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  46. Solving the self-illness ambiguity: the case for construction over discovery.Sofia M. I. Jeppsson - 2022 - Philosophical Explorations 25 (3):294-313.
    Psychiatric patients sometimes ask where to draw the line between who they are – their selves – and their mental illness. This problem is referred to as the self-illness ambiguity in the literature; it has been argued that solving said ambiguity is a crucial part of psychiatric treatment. I distinguish a Realist Solution from a Constructivist one. The former requires finding a supposedly pre-existing border, in the psychiatric patient’s mental life, between that which belongs to the self and that which (...)
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  47. Papaya Maturity Classifications using Deep Convolutional Neural Networks.Marah M. Al-Masawabe, Lamis F. Samhan, Amjad H. AlFarra, Yasmeen E. Aslem & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (12):60-67.
    Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...)
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  48. Can Chatbots Preserve Our Relationships with the Dead?Stephen M. Campbell, Pengbo Liu & Sven Nyholm - forthcoming - Journal of the American Philosophical Association.
    Imagine that you are given access to an AI chatbot that compellingly mimics the personality and speech of a deceased loved one. If you start having regular interactions with this “thanabot,” could this new relationship be a continuation of the relationship you had with your loved one? And could a relationship with a thanabot preserve or replicate the value of a close human relationship? To the first question, we argue that a relationship with a thanabot cannot be a true continuation (...)
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  49. "Deterrence,".S. M. Amadae - 2015 - In Prisoners of Reason: Game Theory and Neoliberal Political Economy. New York: Cambridge University Press. pp. 99-140.
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  50. Grape Leaf Species Classification Using CNN.Mohammed M. Almassri & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):66-72.
    Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...)
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