This Stanford Encyclopedia of Philosophy entry provides an overview of theories of concepts. It is organized around five philosophical issues: (1) the ontology of concepts, (2) the structure of concepts, (3) empiricism and nativism about concepts, (4) concepts and natural language, and (5) concepts and conceptual analysis.

The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...) or extinction but should not be modulated by rational argumentation or logical interventions. This hypothesis is false; implicit biases are not predicated on any associative structures or associative processes but instead arise because of unconscious propositionally structured beliefs. I conclude by discussing how the case study of implicit bias illuminates problems with popular dual-process models of cognitive architecture. (shrink)

Inquiry, Volume 57, Issue 1, Page 55-96, February 2014.

This paper explores the current obstacles that a cognitive theory of humor faces. More specifically, I argue that the nebulous and ill-defined nature of humor makes it difficult to tell what counts as clear instances of, and deficits in, the phenomenon.Without getting clear on this, we cannot identify the underlying cognitive mechanisms responsible for humor. Moreover, being too quick to draw generalizations regarding the ubiquity of humor, or its uniqueness to humans, without substantially clarifying the phenomenon and its occurrences is (...) not only unwise but can actually be a detriment to our study of humor. As such, these sorts of claims must be resisted. I conclude the paper by pointing the way forward to addressing these obstacles. -/- . (shrink)

A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and explain mental processes that best exemplify our ability to be rational. However, evidence from belief acquisition and change appears to show that we do not acquire and update information in a Bayesian way. Instead, the principles of belief acquisition and updating seem grounded in maintaining a psychological immune system rather than in approximating a Bayesian processor.

In some recent works, Crupi and Iacona have outlined an analysis of ‘if’ based on Chrysippus’ idea that a conditional holds whenever the negation of its consequent is incompatible with its antecedent. This paper presents a sound and complete system of conditional logic that accommodates their analysis. The soundness and completeness proofs that will be provided rely on a general method elaborated by Raidl, which applies to a wide range of systems of conditional logic.

This Derridean reading of Freud asks the question of how we should read Freud with respect to sexual difference and what Derrida considers a radicalized concept of trace, a "scene of writing" of differance ---that is, how we should read Freud with respect to phallogocentrism. Throughout I consider the possible relationships between the "mainstyles" of various psychoanalyses, deconstructions, and feminisms. By analyzing what is most original for Freud---the cause of hysteria, the navel of the dream, the perceptual identity, the primal (...) phantasies, for example---I find that Freud consistently seeks a single origin, a "caput Nili," on which to base a grand narrative. At first this narrative is an etiology of hysteria, but it evolves into a masterplot of sexual development and later into one of humanity. The establishment of an oedipal origin and telos, and the masterplot based on them, moves psychoanalysis toward a totalizing theory, and therefore its openness to chance and something beyond what that theory can master is greatly reduced. ;I approach these topics in terms of a question of the ethics of psychoanalysis. This appropriative or reductive process of Freud's masterplotting is based on what Derrida calls "castration-truth" in his reading of Lacan, "Le facteur de la verite." In contrast to some theorists who appeal to the radical spirit of Freudian theory as a basis for their radicalization of psychoanalysis---specifically Barnaby B. Barratt's Psychoanalysis and the Postmodern Impulse---I argue that Lacan's phallogocentric "return to Freud" is actually a more faithful one since I find both "mainstyles" of these psychoanalyses based on a logic of lack or "castration-truth." I argue throughout that the radical spirit of Freud is at times overemphasized or exaggerated by Derridean theorists---and even Derrida himself, though rarely---and that the dominant specter of Freud is an "establishment" or appropriative one, rather than one which is radical or "other-wise." I connect this trend of Derridean thinkers claiming too much debt to psychoanalysis to these thinkers not taking seriously Freud's commitment and interest in an idealized phylogenetics: "phylo-'genetics.'" Since my establishment of this establishment specter of Freud as the "mainstyle" of Freudian theory itself risks reproducing exactly the kind of appropriative discourse I hope to problematize, I attempt to avoid such a reproduction by considering what remains of the radical spirit of Freudian theory in what might be called a deconstructive "technology of iterability;" a "cyborg-analysis;" or what I call "post-psychoanalysis.". (shrink)

Gershom Scholem's commentary on Walter Benjamin's "Notes to a Study on the Category of Justice", first published in German and English in Metaphysics of the Profane, New York: Columbia University Press, 2003, pp. 174-180, with permission of Suhrkamp Verlag.

Number words seemingly function both as adjectives attributing cardinality properties to collections, as in Frege’s ‘Jupiter has four moons’, and as names referring to numbers, as in Frege’s ‘The number of Jupiter’s moons is four’. This leads to what Thomas Hofweber calls Frege’s Other Puzzle: How can number words function as modifiers and as singular terms if neither adjectives nor names can serve multiple semantic functions? Whereas most philosophers deny that one of these uses is genuine, we instead argue that (...) number words, like many related expressions, are polymorphic, having multiple uses whose meanings are systematically related via type shifting. (shrink)

After presenting evidence about categorization behavior, this paper argues for the following theses: 1) that there is a border between perception and cognition; 2) that the border is to be characterized by perception being modular (and cognition not being so); 3) that perception outputs conceptualized representations, so views that posit that the output of perception is solely non-conceptual are false; and 4) that perceptual content consists of basic-level categories and not richer contents.

Based on three recently published books on climate justice, this article reviews the field of climate ethics in light of developments of international climate politics. The central problem addressed is how idealised normative theories can be relevant to the political process of negotiating a just distribution of the costs and benefits of mitigating climate change. I distinguish three possible responses, that is, three kinds of non-ideal theories of climate justice: focused on (1) the injustice of some agents not doing their (...) part; (2) the policy process and aiming to be realistic; and (3) grievances related to the transition to a clean-energy economy. The methodological discussion underpinning each response is innovative and should be of interest more generally, even though it is still underdeveloped. The practical upshot, however, is unclear: even non-ideal climate justice may be too disconnected from the fast-moving and messy climate circus. (shrink)

This essay attempts to clarify the nature and structure of aliefs. First I distinguish between a robust notion of aliefs and a deflated one. A robust notion of aliefs would introduce aliefs into our psychological ontology as a hitherto undiscovered kind, whereas a deflated notion of aliefs would identify aliefs as a set of pre-existing psychological states. I then propose the following dilemma: one the one hand, if aliefs have propositional content, then it is unclear exactly how aliefs differ from (...) psychological states we already countenance, in which case there is no robust notion of aliefs; on the other, if aliefs just contain associative content, then they cannot do the explanatory work set out for them, in which case there is no reason to posit aliefs at all. Thus, it appears that we have little reason to posit the novel category of robust aliefs. (shrink)

How homogenous are the sources of human motivation? Textbook Humeans hold that every human action is motivated by desire, thus any heterogeneity derives from differing objects of desire. Textbook Kantians hold that although some human actions are motivated by desire, others are motivated by reason. One question in this vicinity concerns whether there are states such that to be in one is at once take the world to be a certain way and to be motivated to act: the state-question. My (...) question here is different: whether passion and reason constitute distinct sources of human motivation: the source question. In this essay, I defend an affirmative answer to the source-question while remaining neutral on the state-question. I distinguish between what I call orectic desires, which are associated with the appetites, and anorectic desires, which are associated with judgments of the good. I argue that the two sorts of desires constitute distinct sources of motivation initially on the basis of their differing epistemological profiles. Specifically, self-attributions of anorectic desires are governed by the transparency condition, self-attributions of orectic desires are not. It emerges from this discussion that the motivation for performing an action arises in very different ways from each sort of desire. This difference, in turn, is explained by their differing relations to the will. Roughly, an orectic desire influences the will, but an anorectic desire is the will. The motivation to perform some of our actions derives simply from the determination that they are to-be-done—from reason. (shrink)

Whole Brain Emulation has been championed as the most promising, well-defined route to achieving both human-level artificial intelligence and superintelligence. It has even been touted as a viable route to achieving immortality through brain uploading. WBE is not a fringe theory: the doctrine of Computationalism in philosophy of mind lends credence to the in-principle feasibility of the idea, and the standing of the Human Connectome Project makes it appear to be feasible in practice. Computationalism is a popular, independently plausible theory, (...) and Connectomics a well-funded empirical research program, so optimism about WBE is understandable. However, this optimism may be misplaced. This article argues that WBE is, at best, no more compelling than any of the other far-flung routes to achieving superintelligence. Similarly skeptical conclusions are found regarding immortality. The essay concludes with some positive considerations in favor of the Biological Theory of consciousness, as well as morals about the limits of Computationalism in both artificial intelligence and the philosophy of mind more generally. (shrink)

“What is the structure of thought?” is as central a question as any in cognitive science. A classic answer to this question has appealed to a Language of Thought (LoT). We point to emerging research from disparate branches of the field that supports the LoT hypothesis, but also uncovers diversity in LoTs across cognitive systems, stages of development, and species. Our letter formulates open research questions for cognitive science concerning the varieties of rules and representations that underwrite various LoT-based systems (...) and how these variations can help researchers taxonomize cognitive systems. (shrink)

Except for a patina of twenty-first century modernity, in the form of logic and language, philosophy is exactly the same now as it ever was; it has made no progress whatsoever. We philosophers wrestle with the exact same problems the Pre-Socratics wrestled with. Even more outrageous than this claim, though, is the blatant denial of its obvious truth by many practicing philosophers. The No-Progress view is explored and argued for here. Its denial is diagnosed as a form of anosognosia, a (...) mental condition where the affected person denies there is any problem. The theories of two eminent philosophers supporting the No-Progress view are also examined. The final section offers an explanation for philosophy 's inability to solve any philosophical problem, ever. The paper closes with some reflections on philosophy 's future. (shrink)

Consider the following three claims. (i) There are no truths of the form ‘p and ~p’. (ii) No one holds a belief of the form ‘p and ~p’. (iii) No one holds any pairs of beliefs of the form {p, ~p}. Irad Kimhi has recently argued, in effect, that each of these claims holds and holds with metaphysical necessity. Furthermore, he maintains that they are ultimately not distinct claims at all, but the same claim formulated in different ways. I find (...) his argument suggestive, if not entirely transparent. I do think there is at least an important kernel of truth even in (iii), and that (i) ultimately explains what’s right about the other two. Consciousness of an impossibility makes belief in the obtaining of the corresponding state of affairs an impossibility. Interestingly, an appreciation of this fact brings into view a novel conception of inference, according to which it consists in the consciousness of necessity. This essay outlines and defends this position. A central element of the defense is that it reveals how reasoners satisfy what Paul Boghossian calls the Taking Condition and do so without engendering regress. (shrink)

While Spelke provides powerful support for concept nativism, her focus on understanding concept nativism through six innate core knowledge systems is too confining. There is also no reason to suppose that thecurse of a compositional mindconstitutes a principled reason for positing less innate structure in explaining the origins of concepts. Any solution to such problems must take into account poverty of the stimulus considerations, which argue for postulating more innate structure, not less.

I explore the critical significance of the phenomenological notion of intuition. I argue that there is no meaning that is originally formal-conceptual. The meanings of concepts function as symbolic approximations to original nonconceptual, intuitive givens. However, the meaning content originally intuitively given in lived experience has a tendency to be lost in pursuit of universalizability and communicability of conceptual content. Over time, conceptual approximations lose their reference to the experience that had given them their meaning in the first place. The (...) loss of an experiential reference makes for a vacuous set of concepts, giving way to ideologies, by which I mean the conscious prejudicial support for a set of ideas without the experiential, intuitive context that is necessary to see the value of those ideas. A critical phenomenology is a critique of ideological views by descriptively recovering the intuitive content whereby concepts can be adequately reevaluated. -/- This main aim of this work is to establish the methodological features of critical phenomenology by responding to the objections made against phenomenology and intuition by Frankfurt School critical theorists. Scheler’s phenomenology is used as a way forward due to his far-reaching critique of reason and emphasis on the phenomenological intuition of value. -/- Chapter 1 considers three Frankfurt School objections of Husserlian phenomenology, as (1) immanentist (Adorno), (2) idealist (Adorno), and (3) normatively empty (Habermas). Each fail to discern the subtle features of nonidentity with respect to Husserl’s notions of apperception and adumbrated phenomena. -/- Chapter 2 shows how Scheler’s original view of the phenomenological attitude makes more explicit Husserl’s subtle dialectical elements. Adequate and inadequate givenness is interpreted with respect to one’s intentional orientation and the moral attitudes carried within the world, influencing the content of the given. -/- Chapter 3 confronts the popular charge of idealism. Reality is a problem for phenomenology only to conscious modes of givenness. But through ecstatic modes of givenness (in resistances) Scheler’s phenomenology achieves an existential ground that is crucial for phenomenology to engage actually existing social structures and factors. -/- Chapter 4 concerns the charge that phenomenology is normatively empty. That Scheler had developed a theory of value is not enough to rebut the charge but his view of value-givenness as an attitude informed by the act of loving, opens an awareness of the values disclosed by that attitude. -/- Chapter 5 shows that Scheler’s sociology of knowledge, in contrast to Karl Mannheim’s interpretation, provides a unified picture of the interdependency of spirit and life needed for the realization of values in the world and society. -/- Chapter 6 suggests a way of framing a phenomenological critique of ideology. Scheler points to the attitudinal factors of loving and hating to disclose systemic devaluation and overvaluation. This awareness arises (1) from noticing how individual valuation reflects social valuation, and (2) by being attuned to how one’s own intuitions contradict prevailing social valuation and thought, thereby opening a space for a critique of those patterns. (shrink)

Urban parking systems are a significant contributor to traffic congestion and driver frustration, with studies showing that up to 30% of urban traffic is caused by drivers searching for parking. Traditional parking systems often lack real-time data and adaptability, leading to inefficiencies such as overfilled lots and underutilized spaces. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban parking by enabling real-time parking space detection, demand forecasting, and dynamic pricing. By integrating data from IoT sensors, traffic (...) systems, and mobile applications, cities can reduce congestion, improve parking availability, and enhance the overall urban mobility experience. Experimental results demonstrate significant improvements in parking efficiency, traffic flow, and user satisfaction, offering a sustainable blueprint for smart urban parking systems. (shrink)

What is a concept? Philosophers have given many different answers to this question, reflecting a wide variety of approaches to the study of mind and language. Nonetheless, at the most general level, there are two dominant frameworks in contemporary philosophy. One proposes that concepts are mental representations, while the other proposes that they are abstract objects. This paper looks at the differences between these two approaches, the prospects for combining them, and the issues that are involved in the dispute. We (...) argue that powerful motivations have been offered in support of both frameworks. This suggests the possibility of combining the two. Unlike Frege, we hold that the resulting position is perfectly coherent and well worth considering. Nonetheless, we argue that it should be rejected along with the view that concepts are abstract objects. (shrink)

I describe a phenomenon that has not yet been described in the epistemology literature. I label this phenomenon expression-style exclusion. Expression-style exclusion is an example of how s...

Ensuring public safety is a critical challenge for rapidly growing urban areas. Traditional policing and emergency response systems often struggle to keep pace with the complexity and scale of modern cities. Artificial Intelligence (AI) offers a transformative solution by enabling real-time crime prediction, optimizing emergency resource allocation, and enhancing situational awareness through IoT-enabled systems. This paper explores how AI-driven analytics, combined with data from surveillance cameras, social media, and environmental sensors, can improve public safety in smart cities. By addressing challenges (...) such as data privacy, algorithmic bias, and system scalability, this study demonstrates the potential of AI to create safer, more resilient urban environments. Experimental results highlight improvements in crime detection rates, emergency response times, and resource utilization, paving the way for smarter public safety systems. (shrink)

An analysis of a valenced corpus of English words revealed that words that rhyme with slurs are rated more poorly than their synonyms. What at first might seem like a bizarre coincidence turns out to be a robust feature of slurs, one arising from their phonetic structure. We report novel data on phonaesthetic preferences, showing that a particular class of phonemes are both particularly disliked, and overrepresented in slurs. We argue that phonaesthetic associations have been an overlooked source of some (...) of the more peculiar, arational aspects of slurs. We conclude by drawing broader morals about the evolution of the lexicon. (shrink)

PDF with introduction and front and back materials. Abstract: A provocative examination of the consequences of Levinas’s and Adorno’s thought for contemporary ethics and political philosophy. This book unfolds a dialogue between Emmanuel Levinas and Theodor W. Adorno, using their thought to address contemporary environmental and social-political situations. Eric S. Nelson explores the “non-identity thinking” of Adorno and the “ethics of the Other” of Levinas with regard to three areas of concern: the ethical position of nature and “inhuman” material (...) others such as environments and animals; the bonds and tensions between ethics and religion and the formation of the self through the dynamic of violence and liberation expressed in religious discourses; and the problematic uses and limitations of liberal and republican discourses of equality, liberty, tolerance, and their presupposition of the private individual self and autonomous subject. Thinking with and beyond Levinas and Adorno, this work examines the possibility of an anarchic hospitality and solidarity between material others and sensuous embodied life. -/- “This is an extremely impressive, original, and thorough treatment of two key twentieth-century thinkers and their applicability to the most pressing social and political issues of our time.” — Jeffrey A. Bernstein, author of Leo Strauss on the Borders of Judaism, Philosophy, and History -/- “This book is an excellent and timely contribution to political and environmental philosophy, located around a nuanced historical and philosophical approach to Levinas and Adorno. It will be of great interest to anyone concerned with these figures or with the current moment.” — Martin Shuster, author of Autonomy after Auschwitz: Adorno, German Idealism, and Modernity. (shrink)

Water scarcity and inefficient water management are critical challenges for rapidly growing urban areas. Traditional water distribution systems often suffer from leaks, wastage, and inequitable access, exacerbating resource shortages. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban water management by enabling real-time monitoring, predictive maintenance, and efficient resource allocation. By integrating data from smart meters, pressure sensors, and weather forecasts, cities can reduce water losses, improve distribution efficiency, and ensure equitable access. Experimental results demonstrate significant (...) improvements in leak detection, water conservation, and infrastructure reliability, offering a sustainable blueprint for urban water management in smart cities. (shrink)

The growing volume of urban waste poses significant environmental and economic challenges for cities worldwide. Traditional waste management systems often rely on inefficient collection routes, inadequate recycling processes, and excessive landfill usage. This paper explores how Artificial Intelligence (AI) and IoT technologies can revolutionize waste management in smart cities by enabling real-time monitoring, automated sorting, and optimized collection routes. By integrating data from smart bins, robotic sorting systems, and predictive analytics, cities can achieve zero-waste goals and promote circular economy practices. (...) Experimental results demonstrate significant improvements in waste segregation accuracy, collection efficiency, and recycling rates, offering a sustainable blueprint for urban waste management. (shrink)

Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, cities can reduce energy waste, (...) lower carbon footprints, and improve occupant comfort. Experimental results demonstrate significant improvements in energy savings, operational costs, and environmental impact, offering a sustainable blueprint for smart building management. (shrink)

Une mise en lumière de la spécificité du cinéma en trois parties : le cinéma et l'image, le cinéma et le langage, le cinéma et le montage. Deux textes de G. Deleuze et N. Burch complètent l'ensemble.

At the heart of Anders Pettersson’s 2017 book, The Idea of a Text and the Nature of Textual Meaning, is his proposed “cluster” definition of a textual work. On this view, a text is a cluster of three kinds of objects: all the physical exemplars of the work, the work’s meaning, and the complex signs that convey that meaning. Pettersson contrasts this with the “ordinary conception” of a text, wherein a text is a unitary object made of the signs and (...) meaning, and each exemplar is an instance of the supervening textual work. The cluster definition is preferable because it is able to overcome contradictions plaguing the ordinary conception and its competitors. This cluster conception of a textual work is both original and deserving of more critical attention. Pettersson not only motivates the view well through his consideration of key examples, but deftly handles the obvious objections. Although the cluster conception is revisionary of our ordinary conception, he makes a strong case. However, I do not focus here on the heart of Pettersson’s work but on something akin to its spleen; Pettersson’s criticism of David Davies’ “Pragmatic Constraint” (PC) on the ontology of artworks. (shrink)

This paper takes a fresh look at the nativism–empiricism debate, presenting and defending a nativist perspective on the mind. Empiricism is often taken to be the default view both in philosophy and in cognitive science. This paper argues, on the contrary, that there should be no presumption in favor of empiricism (or nativism), but that the existing evidence suggests that nativism is the most promising framework for the scientific study of the mind. Our case on behalf of nativism has four (...) parts. (1) We characterize nativism’s core commitments relative to the contemporary debate between empiricists and nativists, (2) we present the positive case for nativism in terms of two central nativist arguments (the poverty of the stimulus argument and the argument from animals), (3) we respond to a number of influential objections to nativist theories, and (4) we explain the nativist approach to the conceptual system. (shrink)

This paper offers an explanation for why some parts of philosophy have made no progress. Philosophy has made no progress because it cannot make progress. And it cannot because of the nature of the phenomena philosophy is tasked with explaining—all of it involves consciousness. Here, it will not be argued directly that consciousness is intractable. Rather, it will be shown that a specific version of the problem of consciousness is unsolvable. This version is the Problem of the Subjective and Objective. (...) Then it is argued that the unsolvability of this latter problem is why there are other unsolvable philosophy problems. (shrink)

In this paper, we outline and critically evaluate Thomas Hofweber’s solution to a semantic puzzle he calls Frege’s Other Puzzle. After sketching the Puzzle and two traditional responses to it—the Substantival Strategy and the Adjectival Strategy—we outline Hofweber’s proposed version of Adjectivalism. We argue that two key components—the syntactic and semantic components—of Hofweber’s analysis both suffer from serious empirical difficulties. Ultimately, this suggests that an altogether different solution to Frege’s Other Puzzle is required.

Traditionally, a scientific model is thought to provide a good scientific explanation to the extent that it satisfies certain scientific goals that are thought to be constitutive of explanation. Problems arise when we realize that individual scientific models cannot simultaneously satisfy all the scientific goals typically associated with explanation. A given model’s ability to satisfy some goals must always come at the expense of satisfying others. This has resulted in philosophical disputes regarding which of these goals are in fact necessary (...) for explanation, and as such which types of models can and cannot provide explanations. Explanatory monists argue that one goal will be explanatory in all contexts, while explanatory pluralists argue that the goal will vary based on pragmatic considerations. In this paper, I argue that such debates are misguided, and that both monists and pluralists are incorrect. Instead of any goal being given explanatory priority over others in a given context, the different goals are all deeply dependent on one another for their explanatory power. Any model that sacrifices some explanatory goals to attain others will always necessarily undermine its own explanatory power in the process. And so when forced to choose between individual scientific models, there can be no explanatory victors. Given that no model can satisfy all the goals typically associated with explanation, no one model in isolation can provide a good scientific explanation. Instead we must appeal to collections of models. Collections of models provide an explanation when they satisfy the web of interconnected goals that justify the explanatory power of one another. (shrink)

The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy intermittency, this study demonstrates the (...) potential of AI to revolutionize sustainable energy management. Experimental results highlight improvements in grid reliability, cost reduction, and carbon footprint minimization, paving the way for resilient and eco-friendly urban energy systems. (shrink)

Urbanization poses significant challenges to healthcare systems, including overcrowded hospitals, inequitable access to care, and rising costs. Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative solutions for optimizing healthcare delivery in smart cities. This paper explores how AI-driven predictive analytics, combined with IoT-enabled wearable devices and telemedicine platforms, can enhance patient outcomes, streamline resource allocation, and reduce urban health disparities. By analyzing real-time health data and predicting disease outbreaks, this study demonstrates the potential of AI to revolutionize (...) urban healthcare systems. Experimental results highlight improvements in diagnostic accuracy, emergency response times, and operational efficiency, paving the way for equitable and sustainable healthcare in smart cities. (shrink)

This paper examines three cases of the clash between science and philosophy: Zeno’s paradoxes, the Frame Problem, and a recent attempt to experimentally refute skepticism. In all three cases, the relevant science claims to have resolved the purported problem. The sciences, construing the term broadly, are mathematics, artificial intelligence, and psychology. The goal of this paper is to show that none of the three scientific solutions work. The three philosophical problems remain as vibrant as ever in the face of robust (...) scientific attempts to dispel them. The paper concludes by examining some consequences of this persistence. (shrink)

In this paper, I develop a novel account of concept acquisition for an atomistic theory of concepts. Conceptual atomism is rarely explored in cognitive science because of the feeling that atomistic treatments of concepts are inherently nativistic. My model illustrates, on the contrary, that atomism does not preclude the learning of a concept.

Urban transportation systems face significant challenges due to increasing congestion, inefficient routes, and fluctuating passenger demand. Traditional public transportation networks often struggle to adapt dynamically to these challenges, leading to delays, overcrowding, and environmental inefficiencies. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban mobility by enabling real-time route optimization, demand forecasting, and passenger flow management. By integrating data from GPS trackers, fare collection systems, and environmental sensors, cities can reduce travel times, enhance commuter satisfaction, and (...) promote sustainable transportation. Experimental results demonstrate improvements in route efficiency, passenger load balancing, and operational costs, offering a blueprint for AI-driven smart urban mobility. (shrink)

Urban green spaces are vital for mitigating climate change, enhancing biodiversity, and improving citizen well-being. However, traditional methods of designing and managing these spaces often lack the precision and scalability needed to address modern urban challenges. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban green spaces in smart cities. By integrating satellite imagery, soil sensors, and machine learning models, cities can dynamically monitor plant health, predict ecological impacts, and design green zones that maximize biodiversity and (...) sustainability. Experimental results demonstrate improvements in air quality, heat island reduction, and community engagement, offering a blueprint for AI-driven ecological urban planning. (shrink)

The rapid urbanization of modern cities necessitates innovative approaches to data collection and integration for smarter urban management. With the Internet of Things (IoT) at the core of these advancements, the ability to efficiently gather, analyze, and utilize data becomes paramount. Generative Artificial Intelligence (AI) is revolutionizing data collection by enabling intelligent synthesis, anomaly detection, and real-time decision-making across interconnected systems. This paper explores how generative AI enhances IoT-driven data collection in smart cities, focusing on applications in transportation, energy, public (...) safety, and environmental monitoring. By addressing challenges such as data privacy, scalability, and ethical considerations, the study highlights how generative AI transforms urban governance and paves the way for sustainable and citizen-centric development. Key trends, case studies, and future research directions are discussed, showcasing the potential of generative AI as a cornerstone of smart city initiatives. (shrink)

Is it impossible for a person to do something intentionally without knowing that she is doing it? The phenomenon of self-deceived agency might seem to show otherwise. Here the agent is not lying, yet disavows a correct description of her intentional action. This disavowal might seem expressive of ignorance. However, I show that the self-deceived agent does know what she's doing. I argue that we should understand the factors that explain self-deception as masking rather than negating the practical knowledge characteristic (...) of intentional action. This masking takes roughly the following form: when we are deceiving ourselves about what we are intentionally doing, we don't think about our action because it's painful to do so. (shrink)

Air pollution is a critical challenge for urban areas, contributing to public health crises and environmental degradation. Traditional air quality monitoring systems often lack the granularity and adaptability needed to address dynamic pollution sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance air quality management in smart cities by enabling real-time monitoring, pollution source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, satellite imagery, and traffic systems, cities can reduce pollution levels, (...) improve public health outcomes, and promote sustainable urban environments. Experimental results demonstrate significant improvements in pollution detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban air quality management. (shrink)

For some reason, participants hold agents more responsible for their actions when a situation is described concretely than when the situation is described abstractly. We present examples of this phenomenon, and survey some attempts to explain it. We divide these attempts into two classes: affective theories and cognitive theories. After criticizing both types of theories we advance our novel hypothesis: that people believe that whenever a norm is violated, someone is responsible for it. This belief, along with the familiar workings (...) of cognitive dissonance theory, is enough to not only explain all of the abstract/concrete paradoxes, but also explains seemingly unrelated effects, like the anthropomorphization of malfunctioning inanimate objects. (shrink)

How do you know what you want? Philosophers have lately developed sophisticated accounts of the practical and doxastic knowledge that are rooted in the point of view of the subject. Our ability to just say what we are doing or what we believe—that is, to say so authoritatively, but not on the basis of observation or evidence—is an aspect of our ability to reason about the good and the true. However, no analogous route to orectic self-knowledge is feasible. Knowledge of (...) desire is distinctive in being a matter of our affective response to imagined prospects. An examination of this idea yields the following thesis: I know what I want just in case the object pursued in anticipation of a certain pleasure actually yields the anticipated pleasure. (shrink)

This article provides a critical overview of competing theories of conceptual structure (definitional structure, probabilistic structure, theory structure), including the view that concepts have no structure (atomism). We argue that the explanatory demands that these different theories answer to are best accommodated by an organization in which concepts are taken to have atomic cores that are linked to differing types of conceptual structure.

Urban wastewater management is a critical component of sustainable water cycles, but traditional systems often struggle with inefficiencies such as high operational costs, resource wastage, and environmental pollution. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban wastewater management by enabling real-time monitoring, predictive maintenance, and resource recovery. By integrating data from IoT sensors, water quality monitors, and treatment plants, cities can improve water quality, reduce operational costs, and recover valuable resources such as energy and nutrients. (...) Experimental results demonstrate significant improvements in treatment efficiency, resource recovery rates, and environmental impact, offering a sustainable blueprint for smart urban wastewater systems. (shrink)