Conspiracy theories are typically thought to be examples of irrational beliefs, and thus unlikely to be warranted. However, recent work in Philosophy has challenged the claim that belief in conspiracy theories is irrational, showing that in a range of cases, belief in conspiracy theories is warranted. However, it is still often said that conspiracy theories are unlikely relative to non-conspiratorial explanations which account for the same phenomena. However, such arguments turn out to rest upon how we define what gets counted (...) both as a ‘conspiracy’ and a ‘conspiracy theory’, and such arguments rest upon shaky assumptions. It turns out that it is not clear that conspiracy theories are prima facie unlikely, and so the claim that such theories do not typically appear in our accounts of the best explanations for particular kinds of events needs to be reevaluated. (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)

An analysis of the recent efforts to define what counts as a "conspiracy theory", in which I argue that the philosophical and non-pejorative definition best captures the phenomenon researchers of conspiracy theory wish to interrogate.

A remarkable feature of the philosophical work on conspiracy theory theory has been that most philosophers agree there is nothing inherently problematic about conspiracy theories (AKA the thesis of particularism). Recent work, however, has challenged this consensus view, arguing that there really is something epistemically wrong with conspiracy theorising (AKA generalism). Are particularism and generalism incompatible? By looking at just how much particularists and generalists might have to give away to make their theoretical viewpoints compatible, I will argue that particularists (...) can accept many of the concerns that motivate generalism because generalism can never be about ‘all’ conspiracy theories without being either ahistorical or apolitical. In the end generalist critiques are best seen as useful guidelines or considerations for the appraising of particular conspiracy theories. (shrink)

A reply to Patrick Stokes' “Between Generalism and Particularism About Conspiracy Theory".

Conspiracy theories and conspiracy theorists have been accused of a great many sins, but are the conspiracy theories conspiracy theorists believe epistemically problematic? Well, according to some recent work, yes, they are. Yet a number of other philosophers like Brian L. Keeley, Charles Pigden, Kurtis Hagen, Lee Basham, and the like have argued ‘No!’ I will argue that there are features of certain conspiracy theories which license suspicion of such theories. I will also argue that these features only license a (...) limited suspicion of these conspiracy theories, and thus we need to be careful about generalising from such suspicions to a view of the warrant of conspiracy theories more generally. To understand why, we need to get to the bottom of what exactly makes us suspicious of certain conspiracy theories, and how being suspicious of a conspiracy theory does not always tell us anything about how likely the theory in question is to be false. (shrink)

A response to Lee Basham's 'The Need for Accountable Witnesses: A Reply to Dentith'.

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)

In this paper I interrogate the notion of `debunking conspiracy theories’, arguing that the term `debunk’ carries with it pejorative implications, given that the verb `to debunk’ is commonly understood as `to show the wrongness of a thing or concept’. As such, the notion of `debunking conspiracy theories’ builds in the notion that such theories are not just wrong but ought to be shown as being wrong. I argue that we should avoid the term `debunk’ and focus on investigating conspiracy (...) theories. Looking at recent research work in epistemology on conspiracy theory, I argue that the best way to avoid talk of `debunking’ conspiracy theories is by working with a non-pejorative definition of `conspiracy theory’, and forming communities of inquiry which allow us to investigate the warrant of such theories without the prejudice associated with working with a pejorative definition. (shrink)

Conspiracies are, by definition, a group activity; to conspire requires two or more people working together towards some end, typically in secret. Conspirators have intentions; this is borne out by the fact they want some end and are willing to engage in action to achieve. Of course, what these intentions are can be hard to fathom: historians have written a lot about the intentions of the assassins of Julius Caesar, for example; did they want to restore the Republic; was Marcus (...) Brutus lusting after power; was it an attempt to curb the ambitions of the plebeian class, who saw in Caesar someone not unlike themselves? If intentions can be hard to infer, who is a knowing conspirator and who is a dupe is almost as tricky to parse. Not all purported members of a conspiracy are conspirators, even if they aid and abet the conspiracy. Take, for example, the notorious lax engineer who the conspirators know will sign off on substandard building compliance measures, making it all the easier for them to plant their controlled demolitions. On some account of causal or even moral responsibility the lax engineer would then be responsible for the subsequent event, the one the conspirators desired. Yet it also seems clear that even if she is responsible in some sense for the culminating event of the conspiracy, it is clear that they did not conspire. Or, at least, we would like to think so, although should the authorities find out about the lax engineer’s involvement, they may well be considered part of the conspiracy, especially if the conspirators do their best to hide their own involvement or identities. (shrink)

Typical analyses of belief in conspiracy theories have it that identifying as a conspiracy theorist is irrational. However, given that we know conspiracies occur, and theories about said conspiracies can be warranted, should we really be scared of the locution 'I'm a conspiracy theorist...'?

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)

Belief in conspiracy theories is typically considered irrational, and as a consequence of this, conspiracy theorists––those who dare believe some conspiracy theory––have been charged with a variety of epistemic or psychological failings. Yet recent philosophical work has challenged the view that belief in conspiracy theories should be considered as typically irrational. By performing an intra-group analysis of those people we call “conspiracy theorists”, we find that the problematic traits commonly ascribed to the general group of conspiracy theorists turn out to (...) be merely a set of stereotypical behaviours and thought patterns associated with a purported subset of that group. If we understand that the supposed prob- lem of belief in conspiracy theories is centred on the beliefs of this purported sub- set––the conspiracists––then we can reconcile the recent philosophical contribu- tions to the wider academic debate on the rationality of belief in conspiracy theories. (shrink)

Judging the warrant of conspiracy theories can be difficult, and often we rely upon what the experts tell us when it comes to assessing whether particular conspiracy theories ought to be believed. However, whereas there are recognised experts in the sciences, I argue that only are is no such associated expertise when it comes to the things we call `conspiracy theories,' but that the conspiracy theorist has good reason to be suspicious of the role of expert endorsements when it comes (...) to conspiracy theories and their rivals. The kind of expertise, then, we might associate with conspiracy theories is largely improvised—in that it lacks institutional features—and, I argue, ideally the product of a community of inquiry. (shrink)

In the literature on conspiracy theories, the least contentious part of the academic discourse would appear to be what we mean by a “conspiracy”: a secretive plot between two or more people toward some end. Yet what, exactly, is the connection between something being a conspiracy and it being secret? Is it possible to conspire without also engaging in secretive behavior? To dissect the role of secrecy in con- spiracies – and thus contribute to the larger debate on the epistemology (...) of conspir- acy theories – we dene the concepts of “conspiracy,” “conspirator,” and “secret,” and argue that while conspirators might typically be thought to commit to keeping secrets once their conspiracy is underway, the idea that conspiracies are necessarily secretive to start with is not as obvious as previously thought. (shrink)

Section 1 reviews Strawson’s logic of presuppositions. Strawson’s justification is critiqued and a new justification proposed. Section 2 extends the logic of presuppositions to cases when the subject class is necessarily empty, such as (x)((Px & ~Px) → Qx) . The strong similarity of the resulting logic with Richard Diaz’s truth-relevant logic is pointed out. Section 3 further extends the logic of presuppositions to sentences with many variables, and a certain valuation is proposed. It is noted that, given this valuation, (...) Gödel’s sentence becomes neither true nor false. The similarity of this outcome with Goldstein and Gaifman’s solution of the Liar paradox, which is discussed in section 4, is emphasized. Section 5 returns to the definition of meaningfulness; the meaninglessness of certain sentences with empty subjects and of the Liar sentence is discussed. The objective of this paper is to show how all of the above-mentioned concepts are interrelated. (shrink)

A reply to “Why ‘Healthy Conspiracy Theories’ Are (Oxy)morons” by Pascal Wagner-Egger, Gérald Bronner, Sylvain Delouvée, Sebastian Dieguez and Nicolas Gauvrit.

Research on conspiracy theories has proliferated since 2016, in part due to the US election of President Trump, the COVID-19 pandemic, and increasingly threatening environmental conditions. In the rush to publication given these concerning social consequences, researchers have increasingly treated as definitive a 2016 paper by Michael Wood (Political Psychology, 37(5), 695–705, 2016) that concludes that the phrase “conspiracy theory” has no negative effect upon people’s willingness to endorse a claim. We revisit Wood’s findings and its (re)uptake in the recent (...) literature. Is the label “conspiracy theory” a pejorative? If so, does it sway or affect people’s belief in specific claims of conspiracy (i.e. particular conspiracy theories), or is the effect one that concerns claims of conspiracy more generally (i.e. all conspiracy theories)? Through an examination of the conceptual and methodological scope of Wood’s work and the results of our similar quasi-experimental design, we argue that it is premature to suggest the label “conspiracy theory” has no impact on the believability of a claim, or that it has no rhetorical power. (shrink)

Talk of fake news is rife in contemporary politics, but what is fake news, and how, if anything, does it differ from news which is fake? I argue that in order to make sense of the phenomenon of fake news, it is necessary to first define it and then show what does and does not fall under the rubric of ‘fake news’. I then go on to argue that fake news is not a new problem. Rather, if there is problem (...) with fake news it is its centrality in contemporary public debate. (shrink)

This introduction to this special issue of Inquiry looks at recent work in the philosophy of conspiracy theory theory. Looking at two related worries expressed in the wider conspiracy theory theory (the academic study of conspiracy theories) – the Problem of Conspiracy Theories and the Problem of Conspiracy Theorists – this special issue argues that recent work in the philosophy of conspiracy theories is getting all the more closer to not just an epistemic understanding of what, if anything, is wrong (...) with belief in conspiracy theories, but also a framework for both investigating conspiracy theories and understanding how we should talk about the beliefs of conspiracy theorists. (shrink)

A reply to Gérald Bronner, Véronique Campion-Vincent, Sylvain Delouvée, Sebastian Dieguez, Nicolas Gauvrit, Anthony Lantian, and Pascal Wagner-Egger's piece, '“They” Respond: Comments on Basham et al.’s “Social Science’s Conspiracy-Theory Panic: Now They Want to Cure Everyone”.

The scope of Platonism is extended by introducing the concept of a “Platonic computer” which is incorporated in metacomputics. The theoretical framework of metacomputics postulates that a Platonic computer exists in the realm of Forms and is made by, of, with, and from metaconsciousness. Metaconsciousness is defined as the “power to conceive, to perceive, and to be self-aware” and is the formless, con-tentless infinite potentiality. Metacomputics models how metaconsciousness generates the perceived actualities including abstract entities and physical and nonphysical realities. (...) It is postulated that this is achieved via digital computation using the Platonic computer. The introduction of a Platonic computer into the realm of Forms thus bridges the “inverse explanatory gap” and therefore solves the “inverse hard problem of consciousness” in the philosophy of mind. (shrink)

A reply to Patrick Stokes' 'Reluctance and Suspicion'—itself a reply to an early piece by myself replying to Stokes—in which I clarify what it is I intend when talking about how we should investigate conspiracy theories.

It is no surprise that the philosophy of religion, the many disciplines counted within the study of religion and theology, and religion-specific studies, all have their own methods and interests, and often proceed necessarily as conversations among small groups of experts. But the intellectual cogency and credibility of such studies also entails a problematization of the boundaries that divide them. While disciplinary distinctions are necessary and valuable, a freer flow of ideas and questions across boundaries is to the benefit of (...) all concerned. In particular, the philosophy of religion proceeds more fruitfully if, among its several dimensions, it is also intentionally comparative and inter-religious, vulnerable to the questions raised by insiders to traditions, and open to the implications of ideas for religious practice. (shrink)

A review of Bernard Will's "Believing Weird Things".

A review of Anna Elisabeth Galeotti's "Political Self-Deception".

Probabilistic support is not transitive. There are cases in which x probabilistically supports y , i.e., Pr( y | x ) > Pr( y ), y , in turn, probabilistically supports z , and yet it is not the case that x probabilistically supports z . Tomoji Shogenji, though, establishes a condition for transitivity in probabilistic support, that is, a condition such that, for any x , y , and z , if Pr( y | x ) > Pr( y (...) ), Pr( z | y ) > Pr( z ), and the condition in question is satisfied, then Pr( z | x ) > Pr( z ). I argue for a second and weaker condition for transitivity in probabilistic support. This condition, or the principle involving it, makes it easier (than does the condition Shogenji provides) to establish claims of probabilistic support, and has the potential to play an important role in at least some areas of philosophy. (shrink)

There are extensive discussions of the 5D AdS metric that arises naturally from a metric that accounts for the A-series, the B-series, and x^a; black holes, including their information, entropy, temperature, energy, and energy density; the Big Bang; the finitude of singularities here; inflation; AdS/CFT and dS; symmetry groups of this theory of gravity not including and including those of the standard model, with evaluations of how integrated and how plausible they are; how the theory of quantum gravity here gives (...) general relativity in one limit and quantum mechanics in another limit; and much more. -/- Of particular interest is the physics based argument for the continuation of awareness after death, which starts on about page 196 and spans several pages. (shrink)

In the first part of this article we briefly describe the design and development of a Consciousness Studies concentration at Goddard College, a student centered, progressive educational institution in the northeastern United States. We emphasize the tensions we experienced between different orientations in Consciousness Studies and especially the one related to the scientific and transpersonal ends of the spectrum of consciousness. In the second part, we relate the scientific‐transpersonal issue that we experienced at Goddard to the broader theory and practice (...) of Consciousness Studies. We also link the latter to the so‐called explanatory gap between third and first person forms of consciousness and the call for first person methods of exploring consciousness. Our conclusion is that the scientific approach has the edge and is at risk of assimilating other approaches to the detriment of Consciousness Studies. In our view, the future development of Consciousness Studies, both in theory and practice, requires several different approaches from the scientific to the transpersonal and privileging one is to narrow the field of possibilities and to risk falling prey to one‐sidedness. (shrink)

If an AI makes a significant contribution to a research paper, should it be listed as a co-author? The current guidelines in the field have been created to reduce duplication of credit between two different authors in scientific articles. A new computer program could be identified and credited for its impact in an AI research paper that discusses an early artificial intelligence system which is currently under development at Lawrence Berkeley National. One way to imagine the future of artificial intelligence (...) is that it will be much less expensive to develop new technologies than to create new ways of thinking. Now we have done this technology, and now we go and ask why in the end it is the artificial intelligence that takes over? Well, it is not that artificial intelligence is bad, but it is not as effective as human minds or as intelligent as machine minds. Even in the past, when computers were more intelligent than humans, not all the AI programs have been so intelligent as to be intelligent enough to be called intelligent. (shrink)

From the back cover: "Un repaso de las publicaciones que han abordado las relaciones e intercambios entre los Estados Unidos de América y España, arroja un saldo positivo en los ámbitos sociológico, político y cultural; no así en el estricto campo de la filosofía, necesitado todavía de mayores estudios. Los once trabajos que integran Estados Unidos/España: Diálogos filosóficosrepresentan un esmerado aporte en esta dirección: el de paliar el citado desequilibrio mediante la reflexión en torno al influjo del pensamiento estadounidense en (...) España y a la recepción de la filosofía española —a través de Unamuno, Ortega y Gasset y Julián Marías— en la patria de Walt Whitman.“Es muy deseable que este activo diálogo filosófico entre los Estados Unidos y España se desarrolle todavía más en los próximos años” (cit. Jaime Nubiola). Esta ha sido la principal aspiración de esta obra: ensanchar este intercambio, esclarecer sus múltiples direcciones y abrir nuevos caminos de investigación.". (shrink)

In this paper, I attempt to explore a recent hypothesis about what the main mss. are for establishing the text of Aristotle’s Ethica Nicomachea (henceforth EN). This hypothesis was recently advanced on the basis of evidence coming from EN I-II. In exploring this hypothesis, I confine myself to the text of EN X.6-9 [=Bywater X.6-8], and, as a result, I propose a new text for EN X.6-9 [=Bywater X.6-8] based on a fresh collation of nine mss—four of which were not (...) taken into account in previous editions of the EN—and based on readings that can be gathered from the Arabic translation of the EN that was preserved in the Fez ms. The text proposed in this paper is accompanied by textual notes that justify my decisions regarding some difficult passages. (shrink)

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)

This is a review of a book by Shan Gao called "The meaning of the wave function", Cambridge: Cambridge University Press, 2017.

Most explanations are either about events (why things happen), or about properties (why objects have the enduring characteristics that they do). Explanations of events have been studied extensively in philosophy and psychology, whereas the explanations of properties have received little or no attention in the literature. The present study is an exploration of the ways in which we explain various types of properties. Ten participants provided explanations of 45 properties by completing sentences of the form: “Xs have p because…” where (...) p is a property of the concept X. When coded into three traditional kinds of explanation (i.e. causal, purposive, categorical), nearly half of the explanations did not fit into any of these categories and were classified as “other”. Different patterns of preference for explanations emerged across the various property types for each domain. A qualitative analysis of the other kind revealed that the most frequent form of explanation involved another property of the object, as in ‘Xs have property p because they have property q”. Explanations of properties showed a homeostatic character. Simply relating two properties of a concept seems sufficient as an explanation of a property. (shrink)

Abstract: Samples of LaxSr1-xMnO3 (x = 0.5, 0.55, 0.6, 0.66, and 0.7) were prepared by the citrate-nitrate autocombustion method. The prepared nano-particles were investigated and characterized using X-Ray diffraction (XRD) and Transmission Electron Microscopy (TEM) to confirm the formation of the samples in single phase without any impurities and to calculate the particle size. The magnetic susceptibility χM was measured as a function of temperature and magnetic field intensity. From χM(T) and M(H) the saturation magnetization (Ms), remanent magnetization (Mr) and (...) coercivity (Hc) of the samples were estimated. The correlation among physical properties and the ratio of divalent cation substitution was discussed and reported to shed more light on technological applications of the investigated samples. (shrink)

In his recent book, The Universe As We Find It, John Heil offers an updated account of his two-category ontology. One of his major goals is to avoid including relations in his basic ontology. While there can still be true claims positing relations, such as those of the form “x is taller than y” and “x causes y,” they will be true in virtue of substances and their monadic, non-relational properties. That is, Heil’s two-category ontology is deployed to provide non-relational (...) truthmakers for relational truths. This paper challenges the success of Heil’s project with respect to causation. The arguments here are not entirely negative, however. An option is made available to Heil’s ontology so that it might, at least to some extent, regain non-relational causings. (shrink)

Let us call a thought or belief whose content would be expressed by a sentence of subject-predicate form (by the thinker or someone attributing the thought to the thinker) an ‘ascription’. Thus, the thought that Madonna is middle-aged is an ascription of the property of being middle-aged to Madonna. To call a thought of this form an ascription is to emphasize the predicate in the sentence that gives its content. Let us call an ‘x-ascription’ an ascription whose subject is x, (...) that is, an ascription such that the subject of the sentence which would express its content is x. Let us call a ‘self-ascription’ an ascription whose subject is identical with the ascriber. Let us call a ‘reflexive ascription’ a selfascription such that either (i) in the sentence the ascriber would use to attribute correctly the ascription to himself he would use the first person pronoun to refer to himself both as the ascriber and as the subject of the ascription, as in a sentence of the form, I believe that I ö. (shrink)

Scientific models share one central characteristic with fiction: their relation to the physical world is ambiguous. It is often unclear whether an element in a model represents something in the world or presents an artifact of model building. Fiction, too, can resemble our world to varying degrees. However, we assign a different epistemic function to scientific representations. As artifacts of human activity, how are scientific representations allowing us to make inferences about real phenomena? In reply to this concern, philosophers of (...) science have started analyzing scientific representations in terms of fictionalization strategies. Many arguments center on a dyadic relation between the model and its target system, focusing on structural resemblances and “as if” scenarios. This chapter provides a different approach. It looks more closely at model building to analyze the interpretative strategies dealing with the representational limits of models. How do we interpret ambiguous elements in models? Moreover, how do we determine the validity of model-based inferences to information that is not an explicit part of a representational structure? I argue that the problem of ambiguous inference emerges from two features of representations, namely their hybridity and incompleteness. To distinguish between fictional and non-fictional elements in scientific models my suggestion is to look at the integrative strategies that link a particular model to other methods in an ongoing research context. To exemplify this idea, I examine protein modeling through X-ray crystallography as a pivotal method in biochemistry. (shrink)

In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term “explanation” in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive Nomological, Inductive Statistical, Causal Mechanical, and New Mechanist models. In this chapter, I show that the authors’ claim that these accounts can be applied to deep neural networks as they would to any natural phenomenon is mistaken. I also (...) provide a more general argument as to why the notion of explainability as it is currently used in the XAI literature bears little resemblance to the traditional concept of scientific explanation. It would be more fruitful to use the label “understandable AI” to avoid the confusion that surrounds the goal and purposes of XAI. In the second half of the chapter, I argue for a pragmatic conception of understanding that is better suited to play the central role attributed to explanation in XAI. Following De Regt (2017) and Kuorikoski and Ylikoski (2015), the conditions of satisfaction for understanding an ML system are fleshed out in terms of an agent’s success in using the system. (shrink)

Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...) among women and occurs more frequently as people get older. Common arthritis joint symptoms include swelling, pain, stiffness and decreased range of motion. Symptoms may come and go. They can be mild, moderate or severe. They may stay about the same for years, but may progress or get worse over time. Severe arthritis can result in chronic pain, inability to do daily activities and make it difficult to walk or climb stairs. Arthritis can cause permanent joint changes. These changes may be visible, such as knobby finger joints, but often the damage can only be seen on X-ray. Some types of arthritis also affect the heart, eyes, lungs, kidneys and skin as well as the joints. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Orthopedist in diagnosing Arthritis disease through its symptoms such as: pain on pressure in a joint , Inflammation indicated by joint swelling, Stiffness especially in the morning , Loss of flexibility of joint, Limited, joint movement, Deformity of the joints , Weight loss and fatigue , Non-specific fever and Crepitus. The proposed expert system presents an overview about Arthritis disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Arthritis disease diagnosis expert system was evaluated by Orthopedics students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Orthopedist, patients with arthritis and newly graduated Orthopedics students. (shrink)

forall x: Calgary is a full-featured textbook on formal logic. It covers key notions of logic such as consequence and validity of arguments, the syntax of truth-functional propositional logic TFL and truth-table semantics, the syntax of first-order (predicate) logic FOL with identity (first-order interpretations), symbolizing English in TFL and FOL, and Fitch-style natural deduction proof systems for both TFL and FOL. It also deals with some advanced topics such as modal logic, soundness, and functional completeness. Exercises with solutions are available. (...) It is provided in PDF (for screen reading, printing, and a special version for dyslexics), HTML, and in LaTeX source code. (shrink)

The rise of experimental philosophy has placed metaphilosophical questions, particularly those concerning concepts, at the center of philosophical attention. X-phi offers empirically rigorous methods for identifying conceptual content, but what exactly it contributes towards evaluating conceptual content remains unclear. We show how x-phi complements Rudolf Carnap’s underappreciated methodology for concept determination, explication. This clarifies and extends x-phi’s positive philosophical import, and also exhibits explication’s broad appeal. But there is a potential problem: Carnap’s account of explication was limited to empirical and (...) logical concepts, but many concepts of interest to philosophers are essentially normative. With formal epistemology as a case study, we show how x-phi assisted explication can apply to normative domains. (shrink)

In the following pages, the reader will find a detailed study of what Aristotle considered the most difficult aporia formulated in Metaphysics III (Beta), which is answered in chapter 2 of Book X (Iota): the Eleventh Aporia. In such aporia, Aristotle rivals: (i) the conception assumed by the ancient Physiologoi, which takes the One to be an underlying nature whose being is not exhausted by being One, and (ii) the Platonic-Pythagorean view, which prefers to conceive the One in itself, according (...) to its own determinations and apart from any connection with some reality outside it. (shrink)

Book review of Richard A. Richards' The Species Problem: A Philosophical Analysis.

ABSTRACT -/- A propositional attitude (PA) is a belief, desire, fear, etc., that x is the case. This dissertation addresses the question of the semantic content of a specific kind of PA-instance: an instance of a belief of the form all Fs are Gs. The belief that all bachelors are sports fans has this form, while the belief that Spain is a country in Eastern Europe do not. Unlike a state of viewing the color of an orange, a belief-instance is (...) semantically contentful because it has reference, a meaning, logical implications, or a truth-value. While the intrinsic semantics view holds that either concepts or abstract objects are the source of content for PAs, the extrinsic semantics view holds that symbols of a mental language provide this content. I argue that a successful theory of intentionality must explain: (1) the truth-preserving causal powers of PAs, (2) the failure of the deductive principle Substitutivity to preserve truth over sentences that ascribe PAs, and (3) the truth-evaluability of PAs. As an internalist version of the extrinsic semantics view, I first evaluate Fodor’s Computational Theory of Mind, which says the semantic ingredients of mental states are symbols governed by rules of a mental syntax. I argue that in order to meet (1), CTM would have to associate the causal patterns of each thought-type with the inferential relations of some proposition – in an arbitrary or question-begging way. I also evaluate Fodor’s causal theory, as an externalist version of the extrinsic semantics view. This view is that lawlike causal relations between mental symbols and objects determine the reference, and thus the truth-value, of a thought. I argue that Brian Loar’s circularity objection refutes the ability of this theory to meet (3); and I endorse the intrinsic semantics perspective. I evaluate Frege’s theory of abstract, mind-external, and intrinsically semantic objects (senses), as an attempt to meet condition (2). I conclude that mind-external universals are the source of the intrinsically semantic features of concepts. Finally, I put forth a theory called ‘Bare Property Intentionality’, which describes the features of intrinsically representative and semantic concepts that connect them to these universals. (shrink)

Grau and Pury (Review of Philosophy and Psychology, 5, 155–168, 2014) reported that people’s views about love are related to their views about reference. This surprising effect was however not replicated in Cova et al.’s (in press) replication study. In this article, we show that the replication failure is probably due to the replication’s low power and that a metaanalytic reanalysis of the result in Cova et al. suggests that the effect reported in Grau and Pury is real. We then (...) report a large, highly powered replication that successfully replicates Grau and Pury 2014. This successful replication is a case study in the challenges involved in replicating scientific work, and our article contributes to the discussion of these challenges. (shrink)

One of Derek Parfit’s greatest legacies was the search for Theory X, a theory of population ethics that avoided all the implausible conclusions and paradoxes that have dogged the field since its inception: the Absurd Conclusion, the Repugnant Conclusion, the Non-Identity Problem, and the Mere Addition Paradox. In recent years, it has been argued that this search is doomed to failure and no satisfactory population axiology is possible. This chapter reviews Parfit’s life’s work in the field and argues that he (...) provided all the necessary components necessary for a Theory X. It then shows how these components can be combined together and applied to the global challenges Parfit argued matter most: preventing human extinction, managing catastrophic risks, and eradicating global poverty and suffering. Finally, it identifies a number of challenges facing his theory and suggests how these may be overcome. (shrink)