Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...) large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%. (shrink)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

On 25 December 1991 Alaa Hamed must for his literary work to the "Emergency Court for National Security" in Cairo. The judge read out the verdict: 2,300 egyptian pounds fine and eight years in prison for violating of state security and social peace. - A shock not only for egyptian intellectuals! The Arabic Department of BBC London placed the sentence in second place in the news, immediately after the notification of the resignation of Michail Gorbachev. Even in Germany the (...) message arrived in the media (FAZ, 30 December 1991). The egyptian journalist Jusif El Kaid spoke of the "most dangerous convicted of the 20 century" (Almussawar. No. 3508, 3 January 1992). The human rights organization of Egypt criticized the verdict as a violation of the right to freedom of expression and artistic innovation. It was the first time in modern history (after the 1952 revolution), that an author should because of his literary work in prison. (shrink)

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...) to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (shrink)

An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...) The system was evaluated by reciting teachers and students, and the results were auspicious. (shrink)

This article compares James M. Buchanan's and John Rawls's theories of democratic governance. In particular it compares their positions on the characteristics of a legitimate social contract. Where Buchanan argues that additional police force can be used to quell political demonstrations, Rawls argues for a social contract that meets the difference principle.

Malaria is a life-threatening disease spread to humans by some types of mosquitoes. It is mostly found in tropical countries. It is preventable and curable. The infection is caused by a parasite and does not spread from person to person. Symptoms can be mild or life-threatening. Mild symptoms are fever, chills and headache. Severe symptoms include fatigue, confusion, seizures, and difficulty breathing. Infants, children under 5 years, pregnant women, travelers and people with HIV or AIDS are at higher risk of (...) severe infection. Discovering this disease is a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid spreading this disease. The expert system diagnoses malaria disease correctly to facilitate doctors to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose malaria disease. (shrink)

Abstract: The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of (...) books. The prediction is based on these features (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which were used as input variables and (average_rating) as output variable for our ANN model. Our model were created, trained, and validated using data set in JNN environment, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.78% of the validation samples. (shrink)

Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...) target of ITS is smoothing the learning process using the wide-ranging facilities of computer. The proposed system will be implemented using the ITSB Authoring tool. In this thesis, the researcher presents an intelligent tutoring system for teaching Reciting Al-Quran "Tajweed" with Rewaya: Hafs from ‘Aasem by the way of Shatebiyyah. It was a novel idea that the researcher combined the science of Tajweed Al-Quran and the science of artificial intelligence in his thesis. The researcher arranged the material into chapters, lessons, examples then, added all these to the proposed system. He also added questions, right answers and the level of difficulty for each lesson. He prepared an exam for each chapter and a final exam to test the knowledge of the learner in the whole material. The system was evaluated by teachers and students in reciting science and the outcome of the assessment was encouraging and promising. (shrink)

This paper examines the complexity and fluidity of maternal identity through an examination of narratives about "real motherhood" found in children's literature. Focusing on the multiplicity of mothers in adoption, I question standard views of maternity in which gestational, genetic and social mothering all coincide in a single person. The shortcomings of traditional notions of motherhood are overcome by developing a fluid and inclusive conception of maternal reality as authored by a child's own perceptions.

The aim of this book, written by a researcher at the Tatarstan Academy of Sciences, is to examine how and why theories change in science. Nugayev’s analysis, and his many examples, are confined to mathematically formalized theories of physics. Nugayev’s ideas are inspired by, and relate to, Russian scholars. His approach is primarily philosophical and clearly in the analytical tradition of Popper, Kuhn, Lakatos, Feyerabend, Stegmuller and others. Although Nugayev’s book is primarily addressed to philosophers, it is also of interest (...) to the philosophically inclined historian of science. (shrink)

Le XI.ème Congrès International de Philosophie Médiévale de la Société Internationale pour l’Étude de la Philosophie Médiévale (S.I.E.P.M..) s’est déroulé à Porto (Portugal), du 26 au 30 août 2002, sous le thème général: Intellect et Imagination dans la Philosophie Médiévale. A partir des héritages platonicien, aristotélicien, stoïcien, ou néo-platonicien (dans leurs variantes grecques, latines, arabes, juives), la conceptualisation et la problématisation de l’imagination et de l’intellect, ou même des facultés de l’âme en général, apparaissaient comme une ouverture possible pour aborder (...) les principaux points de la pensée médiévale. Les Actes du congrès montrent que « imagination » et « intellect » sont porteurs d’une richesse philosophique extraordinaire dans l’économie de la philosophie médiévale et de la constitution de ses spécificités historiques. Dans sa signification la plus large, la théorisation de ces deux facultés de l’âme permet de dédoubler le débat en au moins six grands domaines: — la relation avec le sensible, où la fantaisie/l’imagination joue le rôle de médiation dans la perception du monde et dans la constitution de la connaissance ; — la réflexion sur l’acte de connaître et la découverte de soi en tant que sujet de pensée ; — la position dans la nature, dans le cosmos, et dans le temps de celui qui pense et qui connaît par les sens externes, internes et par l’intellect ; — la recherche d’un fondement pour la connaissance et l’action, par la possibilité du dépassement de la distante proximité du transcendant, de l’absolu, de la vérité et du bien ; — la réalisation de la félicité en tant qu’objectif ultime, de même que la découverte d’une tendance au dépassement actif ou mystique de toutes les limites naturelles et des facultés de l’âme ; — la constitution de théories de l’image, sensible ou intellectuelle, et de ses fonctions. Les 3 volumes d’Actes incluent les 16 leçons plénières et 112 communications, ainsi que les index correspondants (manuscrits ; noms anciens et médiévaux ; noms modernes ; auteurs). Le volume IV des Actes, contenant 39 communications et des index, est publié par la revue " Mediaevalia. Textos e Estudos ", du Gabinete de Filosofia Medieval de l’Universidade do Porto (volume 23, de 2004). Ouvrage publié avec l’appui de l’Universidade do Porto, de la Faculdade de Letras da U.P., du Departamento de Filosofia - F.L.U.P. et de la Fundação para a Ciência e a Tecnologia (Portugal). (shrink)

This reply to an ongoing debate between conspiracy theory researchers from different disciplines exposes the conceptual confusions that underlie some of the disagreements in conspiracy theory research. Reconciling these conceptual confusions is important because conspiracy theories are a multidisciplinary topic and a profound understanding of them requires integrative insights from different fields. Specifically, we distinguish research focussing on conspiracy *theories* (and theorizing) from research of conspiracy *belief* (and mindset, theorists) and explain how particularism with regards to conspiracy theories does not (...) mean we cannot define a problematic subclass of conspiracy beliefs, while avoiding the problems of generalism. We hope this reply helps conspiracy theory researchers recognize the differences between studying conspiracy theories and conspiracy beliefs and appreciate the possibilities for fruitful, integrative, and interdisciplinary research. (shrink)

An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...) The system was evaluated by reciting teachers and students, and the results were auspicious. (shrink)

Recently two distinct forms of rule-utilitarianism have been introduced that differ on how to measure the consequences of rules. Brad Hooker advocates fixed-rate rule-utilitarianism, while Michael Ridge advocates variable-rate rule-utilitarianism. I argue that both of these are inferior to a new proposal, optimum-rate rule-utilitarianism. According to optimum-rate rule-utilitarianism, an ideal code is the code whose optimum acceptance level is no lower than that of any alternative code. I then argue that all three forms of rule-utilitarianism fall prey to two fatal (...) problems that leave us without any viable form of rule-utilitarianism. (shrink)

Attempts have been made to prove God's non-existence. Often this takes the form of an appeal to the so-called Argument from Evil: if God were to exist, then he would not permit as much suffering in the world as there actually is. Hence the fact that there is so much suffering constitutes evidence for God's non-existence. In this essay I propose a variation which I shall call ‘The Argument from Non-belief’. Its basic idea is that if God were to exist, (...) then he would not permit as much non-belief in the world as there actually is. Hence the fact that there is so much non-belief constitutes evidence for God's non-existence. (shrink)

Though hair loss (alopecia) is not a debilitating or life threatening sickness, the very thought of becoming bald can lead to emotional stress and traumatic experience for those who suffer from premature or excessive hair loss. Many will try anything and everything to bring back their locks. Or at least, some of their once full head of hair. Hair loss sufferers spend billions of dollars annually on remedies ranging from drugs, vitamins to special tonics and shampoos. Conventional treatments of hair (...) thinning includes drugs therapy and hair transplant. Minoxidil and Propecia (Finasteride) are the only two drugs approved by the FDA for hair growth in men. Minoxidil is the only drug available for women with and rogenetic alopecia. These drugs have been proven to show positive results for balding conditions on the vertex region of the scalp. Though these drugs are effective, many are wary of their unknown long-term effect and potential side-effects. This has led to increase interest in alternative remedies such as herbal medicine. (shrink)

In much of the current academic and public discussion, conspiracy theories are portrayed as a negative phenomenon, linked to misinformation, mistrust in experts and institutions, and political propaganda. Rather surprisingly, however, philosophers working on this topic have been reluctant to incorporate a negatively evaluative aspect when either analyzing or engineering the concept conspiracy theory. In this paper, we present empirical data on the nature of the concept conspiracy theory from five studies designed to test the existence, prevalence and exact form (...) of an evaluative dimension to the ordinary concept conspiracy theory. These results reveal that, while there is a descriptive concept of conspiracy theory, the predominant use of conspiracy theory is deeply evaluative, encoding information about epistemic deficiency and often also derogatory and disparaging information. On the basis of these results, we present a new strategy for engineering conspiracy theory to promote theoretical investigations and institutional discussions of this phenomenon. We argue for engineering conspiracy theory to encode an epistemic evaluation, and to introduce a descriptive expression—such as ‘conspiratorial explanation’—to refer to the purely descriptive concept conspiracy theory. (shrink)

Epiphenomenalism is the view that phenomenal properties – which characterize what it is like, or how it feels, for a subject to be in conscious states – have no physical effects. One of the earliest arguments against epiphenomenalism is the evolutionary argument (James 1890/1981; Eccles and Popper 1977; Popper 1978), which starts from the following problem: why is pain correlated with stimuli detrimental to survival and reproduction – such as suffocation, hunger and burning? And why is pleasure correlated with stimuli (...) beneficial to survival and reproduction – such as eating and breathing? According to the argument, the fact that we have these particular correlations and not other ones must have an evolutionary explanation. But given epiphenomenalism, differences in phenomenal properties could not cause differences in fitness, so natural selection would not be expected to favor these correlations over any other ones. Epiphenomenalism thus renders these correlations an inexplicable coincidence, and should therefore be rejected. The evolutionary argument has been widely criticized and few have deemed it cogent (Broad 1925; Jackson 1982; Robinson 2007; Corabi 2014). In this paper, I will consider previous and potential criticisms and conclude some of them are indeed fatal to the argument if it is understood, as it traditionally has been, as an argument for any standard version of non-epiphenomenalism such as physicalism and interactionism. I will then offer a new and improved version of the argument, as an argument for a particular non-epiphenomenalist view, which I will call the phenomenal powers view. This is the view that phenomenal properties produce and thereby (metaphysically) necessitate their effects in virtue of how they feel, or in virtue of their intrinsic, phenomenal character alone – along the lines of C. B. Martin and John Heil’s powerful qualities view (Martin and Heil 1999; Heil 2003). I will argue that the phenomenal powers view explains the correlations given natural selection far better than any other view. It follows that if (and only if) understood as an argument for the phenomenal powers view, the evolutionary argument is far stronger than it is usually thought to be. (shrink)

I’m to push back on Hill’s (2022) criticism in four ways. First: we need some context for the debate that occurred in the pages of the Social Epistemology Review and Reply Collective that so concerns Hill. Second: getting precise with our terminology (and not working with stereotypes) is the only theoretically fruitful way to approach the problem of conspiracy theories. Third: I address Hill’s claim there is no evidence George W. Bush or Tony Blair accused their critics, during the build-up (...) the invasion of Iraq in 2003ACE, as being “conspiracy theorists.” Fourth (and finally): I will gently suggest that Hill has succumbed to a stereotypical view of work in Philosophy on conspiracy theories. (shrink)

What are conspiracy theories? And what, if anything, is epistemically wrong with them? I offer an account on which conspiracy theories are a unique way of holding a belief in a conspiracy. Specifically, I take conspiracy theories to be self-insulating beliefs in conspiracies. On this view, conspiracy theorists have their conspiratorial beliefs in a way that is immune to revision by counter-evidence. I argue that conspiracy theories are always irrational. Although conspiracy theories involve an expectation to encounter some seemingly disconfirming (...) evidence (allegedly planted by the conspirators), resistance to all counter- evidence cannot be justified on these grounds. (shrink)

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 (...) and function are hard to measure directly, which is why we see simpler box-ticking conceptions of recovery used in large research studies. This need not be problematic, but might lead to researchers and clinicians focusing too much on treatments that promote easy-to-measure proxies for recovery, instead of what actually matters to psychiatric patients themselves. Next, we provide examples of treatments and treatment decisions within two areas – self-injury and psychosis – which are hard to explain unless we assume that an implicit and harmful normalcy bias is at work. We conclude with some suggestions for clinicians and future research. (shrink)

Since the publication of David Lewis's ''New Work for a Theory of Universals,'' the distinction between properties that are fundamental – or perfectly natural – and those that are not has become a staple of mainstream metaphysics. Plausible candidates for perfect naturalness include the quantitative properties posited by fundamental physics. This paper argues for two claims: (1) the most satisfying account of quantitative properties employs higher-order relations, and (2) these relations must be perfectly natural, for otherwise the perfectly natural properties (...) cannot play the roles in metaphysical theorizing as envisaged by Lewis. (shrink)

There are two conspicuous and inescapable features of this world in which time is real. One experiences a world in flux, a transient world in which things constantly come into existence, change and cease to be. One also experiences a stable world, one in which how things are at any given moment is permanent, unchangeable. Thus, there is transience and permanence. Yet these two features of the world seem incompatible. The primary purpose of this paper is to sketch a metaphysics (...) of time that embraces both features. Crucial to this undertaking is the notion of becoming, that is, coming into existence. I distinguish three distinct phenomena of becoming: temporal, absolute and atemporal. The last is the least familiar of these; it is the phenomenon of coming into existence outside of time. Although the idea that there are things that do not exist in time is not unfamiliar, it is largely taken for granted that if anything comes into existence, it must do so in time. (Indeed, I suspect many think that the idea of a thing coming to be outside of time is simply incoherent.) In this paper, I articulate and defend the notion of atemporal becoming. It is by means of this notion that one can develop a fully satisfactory metaphysics of time, one that honors both transience and permanence and finds for each its proper domain within the world. (shrink)

Panpsychism is the view that every concrete and unified thing has some form of phenomenal consciousness or experience. It is an age-old doctrine, which, to the surprise of many, has recently taken on new life. In philosophy of mind, it has been put forth as a simple and radical solution to the mind–body problem (Chalmers 1996, 2003;Strawson 2006; Nagel 1979, 2012). In metaphysics and philosophy of science, it has been put forth as a solution to the problem of accounting for (...) the intrinsic nature of the physical itself (Strawson 2006, Seager 2006). In this thesis, I show that panpsychism can also be defended on the basis of an argument from our (arguable) acquaintance with the nature of causation in agency. This argument has made frequent appearances throughout the history of philosophy, with philosophers such as Leibniz, Schopenhauer and James, and I construct and defend an updated version of it. Furthermore, I offer a solution to the combination problem: how can complex (human and animal-type) consciousness result from simple (fundamental particle-type) consciousness? This is generally regarded as the most serious problem facing contemporary panpsychism. I propose that mental combination can be construed as kind causal process culminating in a fusion, and show how this avoids the main difficulties with accounting for mental combination. (shrink)

The Integrated Information Theory of consciousness (IIT) claims that consciousness is identical to maximal integrated information, or maximal Φ. One objection to IIT is based on what may be called the intrinsicality problem: consciousness is an intrinsic property, but maximal Φ is an extrinsic property; therefore, they cannot be identical. In this paper, I show that this problem is not unique to IIT, but rather derives from a trilemma that confronts almost any theory of consciousness. Given most theories of consciousness, (...) the following three claims are inconsistent. INTRINSICALITY: Consciousness is intrinsic. NON-OVERLAP: Conscious systems do not overlap with other conscious systems (a la Unger’s problem of the many). REDUCTIONISM: Consciousness is constituted by more fundamental properties (as per standard versions of physicalism and Russellian monism). In view of this, I will consider whether rejecting INTRINSICALITY is necessarily less plausible than rejecting NON-OVERLAP or REDUCTIONISM. I will also consider whether IIT is necessarily committed to rejecting INTRINSICALITY or whether it could also accept solutions that reject NON-OVERLAP or REDUCTIONISM instead. I will suggest that the best option for IIT may be a solution that rejects REDUCTIONISM rather than INTRINSICALITY or NON-OVERLAP. (shrink)

In this paper we focus on what is referred to as the ‘mineness’ of experience, that is, the intimate familiarity we have with our own thoughts, perceptions, and emotions. Most accounts characterize mineness in terms of an experiential dimension, the first-person givenness of experience, that is subsumed under the notion of minimal self-consciousness or a ‘minimal self’. We argue that this account faces problems and develop an alternative account of mineness in terms of the coherence of experiences with what we (...) label an ‘embodied biography’. Building on a near consensus among consciousness researchers over the function of consciousness as integrating infor- mation, we argue that the phenomenology of mineness consists in the absence of any further thought on top of the experience itself. Finally we argue that this non-phenomenological account of mineness fits well with existing data on pathologies of mineness such as delusions of thought insertion. (shrink)

In recent literature, panpsychism has been defended by appeal to two main arguments: first, an argument from philosophy of mind, according to which panpsychism is the only view which successfully integrates consciousness into the physical world (Strawson 2006; Chalmers 2013); second, an argument from categorical properties, according to which panpsychism offers the only positive account of the categorical or intrinsic nature of physical reality (Seager 2006; Adams 2007; Alter and Nagasawa 2012). Historically, however, panpsychism has also been defended by appeal (...) to a third argument based on considerations about the nature and observability of causation. This argument has not been much discussed in recent times. Here is a concise version from William James: "… the concrete perceptual flux, taken just as it comes, offers in our own activity-situations perfectly comprehensible instances of causal agency … If we took these experiences as the type of what actual causation is, we should have to ascribe to cases of causation outside of our life, to physical cases also, an inwardly experiential nature. In other words, we should have to espouse a so-called “pan-psychic” philosophy" (James 1911: 218). James here suggests that we have direct experience of causation in our own agency. He thereby directly contradicts David Hume, who famously denied that we have any experience of causation. James goes on to claim that if this experience is representative of causation in general, it follows that all causation is mental, and that panpsychism is true. This kind of argument for panpsychism can be called the argument from (experience of) causation. This chapter offers, first, a history of this argument and arguments closely related to it, and second, an analysis of the argument – is it valid, are its premises in any way defensible, and how does it relate to the other, more popular arguments for panpsychism from philosophy of mind and categorical properties? (shrink)

This article looks at some of the salient analyses of moderation in the ancient Greek and the Islamic traditions and uses them to develop a contemporary view of the matter. Greek ethics played a huge role in shaping the ethical views of the Muslim philosophers and theologians, and thus the article starts with an overview of the revival of contemporary western virtue ethics--in many ways an extension of Platonic-Aristotelian ethics--and then looks at the place of moderation or temperance in Platonic-Aristotelian (...) ethics. This sets the stage for an exposition of the position taken by Ibn Miskawayh and al-Ghazali, which is then used as a backdrop for suggesting a revival of the Quran's virtue ethics. After outlining a basis for its virtue ethics, the Quranic view of wasatiyya or moderation is discussed briefly. (shrink)

Context: The majority of contemporary enactivist work is influenced by the philosophical biology of Hans Jonas. Jonas credits all living organisms with experience that involves particular “existential” structures: nascent forms of concern for self-preservation and desire for objects and outcomes that promote well-being. We argue that Jonas’s attitude towards living systems involves a problematic anthropomorphism that threatens to place enactivism at odds with cognitive science, and undermine its legitimate aims to become a new paradigm for scientific investigation and understanding of (...) the mind. Problem: Enactivism needs to address the tension between its Jonasian influences and its aspirations to become a new paradigm for cognitive science. By relying on Jonasian phenomenology, contemporary enactivism obscures alternative ways in which phenomenology can be more smoothly integrated with cognitive science. Method: We outline the historical relationship between enactivism and phenomenology, and explain why anthropomorphism is problematic for a research program that aspires to become a new paradigm for cognitive science. We examine the roots of Jonas’s existential interpretation of biological facts, and describe how and why Jonas himself understood his project as founded on an anthropomorphic assumption that is incompatible with a crucial methodological assumption of scientific enquiry: the prohibition of unexplained natural purposes. We describe the way in which phenomenology can be integrated into Maturana’s autopoietic theory, and use this as an example of how an alternative, non-anthropomorphic science of the biological roots of cognition might proceed. Results: Our analysis reveals a crucial tension between Jonas’s influence on enactivism and enactivism’s paradigmatic aspirations. This suggests the possibility of, and need to investigate, other ways of integrating phenomenology with cognitive science that do not succumb to this tension. Implications: In light of this, enactivists should either eliminate the Jonasian inference from properties of our human experience to properties of the experience of all living organisms, or articulate an alternative conception of scientific enquiry that can tolerate the anthropomorphism this inference entails. The Maturanian view we present in the article’s final section constitutes a possible framework within which enactivist tools and concepts can be used to understand cognition and phenomenology, and that does not involve a problematic anthropomorphism. Constructivist content: Any constructivist approach that aims for integration with current scientific practice must either avoid the type of anthropomorphic inference on which Jonas bases his work, or specify a new conception of scientific enquiry that renders anthropomorphism unproblematic. (shrink)

This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anticonsumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.

Looking at the recent spate of claims about “fake news” which appear to be a new feature of political discourse, I argue that fake news presents an interesting problem in epistemology. Te phenomena of fake news trades upon tolerating a certain indiference towards truth, which is sometimes expressed insincerely by political actors. Tis indiference and insincerity, I argue, has been allowed to fourish due to the way in which we have set the terms of the “public” epistemology that maintains what (...) is considered “rational” public discourse. I argue one potential salve to the problem of fake news is to challenge this public epistemology by injecting a certain ethical consideration back into the discourse. (shrink)

The meta-problem of consciousness is the problem of explaining why we have the intuition that there is a hard problem of consciousness. David Chalmers briefly notes that my phenomenal powers view may be able to answer to this challenge in a way that avoids problems (having to do with avoiding coincidence) facing other realist views. In this response, I will briefly outline the phenomenal powers view and my main arguments for it and—drawing in part on a similar view developed by (...) Harold Langsam—discuss how more precisely its answer to the challenge would go. (shrink)

Mobile phones are reportedly the most rapidly expanding e-reading device worldwide. However, the embodied, cognitive and affective implications of smartphone-supported fiction reading for leisure (m-reading) have yet to be investigated empirically. Revisiting the theoretical work of digitization scholar Anne Mangen, we argue that the digital reading experience is not only contingent on patterns of embodied reader–device interaction (Mangen, 2008 and later) but also embedded in the immediate environment and broader situational context. We call this the situation constraint. Its application to (...) Mangen’s general framework enables us to identify four novel research areas, wherein m-reading should be investigated with regard to its unique affordances. The areas are reader–device affectivity, situated embodiment, attention training and long-term immersion. (shrink)

How is the problem of free will related to the problem of moral luck? In this essay, I answer that question and outline a new solution to the paradox of moral luck, the source-paradox solution. This solution both explains why the paradox arises and why moral luck does not exist. To make my case, I highlight a few key connections between the paradox of moral luck and two related problems, namely the problem of free will and determinism and the paradox (...) of self-creation. Piecing together intuitions, arguments, and insights from recent work on each of these three problems, I argue that the type of control necessary for moral responsibility can only be had by someone who is a genuine source of his own actions, but the relevant notion of sourcehood admits no coherent characterization. If our commonsense view of moral responsibility is incoherent, it is unsurprising that our commitment to the existence of morally responsible agents commits us to some paradoxical things—e.g. to both the existence and impossibility of moral luck. For more information about this article, please write to gmail account: kristin.mickelson.42. (shrink)

From Soul to Self takes us on a fascinating journey through philosophy, theology, religious studies and physiological sciences. The contributors explore the relationship between a variety of ideas that have arisen in philosophy, religion and science, each idea seeking to explain why we think we are somehow unique and distinct.

Phenomenal knowledge is knowledge of what it is like to be in conscious states, such as seeing red or being in pain. According to the knowledge argument (Jackson 1982, 1986), phenomenal knowledge is knowledge that, i.e., knowledge of phenomenal facts. According to the ability hypothesis (Nemirow 1979; Lewis 1983), phenomenal knowledge is mere practical knowledge how, i.e., the mere possession of abilities. However, some phenomenal knowledge also seems to be knowledge why, i.e., knowledge of explanatory facts. For example, someone who (...) has just experienced pain for the first time learns not only that this is what pain is like, but also why people tend to avoid it. Some philosophers have claimed that experiencing pain gives knowledge why in a normative sense: it tells us why pain is bad and why inflicting it is wrong (Kahane 2010). But phenomenal knowledge seems to explain not (only) why people should avoid pain, but why they in fact tend to do so. In this paper, I will explicate and defend a precise version of this claim and use it as a basis for a new version of the knowledge argument, which I call the explanatory knowledge argument. According to the argument, some phenomenal knowledge (1) explains regularities in a distinctive, ultimate or regress-ending way, and (2) predict them without induction. No physical knowledge explains and predicts regularities in the same way. This implies the existence of distinctive, phenomenal explanatory facts, which cannot be identified with physical facts. I will show that this argument can be defended against the main objections to the original knowledge argument, the ability hypothesis and the phenomenal concept strategy, even if it turns out that the original cannot. In this way, the explanatory knowledge argument further strengthens the case against physicalism. (shrink)

David Armstrong (1926-2014) was much the most internationally successful philosopher to come from Sydney. His life moved from a privileged Empire childhood and student of John Anderson to acclaimed elder statesman of realist philosophy. His philosophy developed from an Andersonian realist inheritance to major contributions on materialist theory of mind and the theory of universals. His views on several other topics such as religion and ethics are surveyed briefly.

Are living organisms--as Descartes argued--just machines? Or is the nature of life such that it can never be fully explained by mechanistic models? In this thought-provoking and controversial book, eminent geophysicist Walter M. Elsasser argues that the behavior of living organisms cannot be reduced to physico-chemical causality. Suggesting that molecular biology today is at the same point as Newtonian physics on the eve of the quantum revolution, Elsasser lays the foundation for a theoretical biology that points the way toward a (...) natural philosophy of organic life. Explicitly repudiating "vitalism" (the notion that the laws of nature need to be modified when applied to living organisms), Elsasser argues instead that the structural complexity of even a single living cell is "transcomputational"--that is, beyond the power of any imaginable system to compute. Beginning from this insight, Elsasser leads the reader through a step-by-step process that ultimately arrives at the conclusion that living and non-living matter are separated by "a no-man's land of irrationality." Trained in Germany as a physicist, Elsasser first pondered the implications of quantum mechanics for biology as early as 1951. The more closely he studied the inherent complexity of life, the more skeptical he became of the reductionist view of organisms as tiny machines. "An organism," he concluded, "is a source of causal chains which cannot be traced beyond a terminal point because they are lost in the unfathomable complexity of the organism." Like the physicist who works within the bounds of an unfathomable universe, Elsasser argues, the biologist must seek answers within a system that is no less unfathomable. (shrink)