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.

In the Laws, Plato argues that legislation must not only compel, but also persuade. This is accomplished by prefacing laws with preludes. While this procedure is central to the legislative project of the dialogue, there is little interpretative agreement about the strategy of the preludes. This paper defends an interpretation according to which the strategy is to engage with citizens in a way that anticipates their progress toward a more mature evaluative outlook, and helps them grow into it. This paper (...) shall refer to this strategy as proleptic engagement. While the virtuous ways of life required by law are intimately connected to happiness, the preludes do not persuade by spelling out this connection. Rather, they persuade by telling citizens what they need to hear so that they can come to appreciate this connection for themselves, in the context of their own lives. While the preludes are many and varied, this paper argues that all preambular material can be understood as proleptic engagement. (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)

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.

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.

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)

The guiding thread of the paper is the diagnosis that the advanced division of cognitive labor (that is, intellectual specialization) engenders a set of perennial, political and epistemic challenges (Millgram 2015) that, simultaneously, also generate opportunities for philosophy. In this paper, I re-characterize the nature of synthetic philosophy as a means to advance and institutionalize philosophy. For my definition of synthetic philosophy see section 2. In section 1, I treat Plato’s Republic as offering two models to represent philosophy's relationship to (...) the other sciences within the advanced division of labor. I highlight that for Plato intellectual specialization is central not just to economic, but also to political life. And, yet, that the very dispersion of scientific expertise, and its esoteric nature, also generates non-trivial challenges to the recognition and political utilization of knowledge. From Plato we can infer that in imperfect circumstances, philosophy’s self-constitution is, in part, a response to these challenges in political epistemology. However, how philosophy is institutionalized differs through time. In section 2, I re-introduce my conceptualization of synthetic philosophy and restate it. This makes visible that synthetic philosophy is already widely practiced in the profession as philosophy of the special sciences, PPE, formal modelling, public philosophy, etc. I use recent work by Dorst (2023) to illustrate synthetic philosophy and to identify some of the processes that give rise to the need for it. In sections 2-3, I contrast my account with the evolving ways that Philip Kitcher has conceptualized synthetic philosophy in order to make more precise the version promoted here. I do so not just because Kitcher and I use the same term, ‘synthetic philosophy,’ but because the temptations inherent in Kitcher’s approach should be resisted. -/- . (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)

One relatively neglected challenge in ethical artificial intelligence (AI) design is ensuring that AI systems invite a degree of emotional and moral concern appropriate to their moral standing. Although experts generally agree that current AI chatbots are not sentient to any meaningful degree, these systems can already provoke substantial attachment and sometimes intense emotional responses in users. Furthermore, rapid advances in AI technology could soon create AIs of plausibly debatable sentience and moral standing, at least by some relevant definitions. Morally (...) confusing AI systems create unfortunate ethical dilemmas for the owners and users of those systems, since it is unclear how those systems ethically should be treated. I argue here that, to the extent possible, we should avoid creating AI systems whose sentience or moral standing is unclear and that AI systems should be designed so as to invite appropriate emotional responses in ordinary users. (shrink)

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

Do university ethics classes influence students’ real-world moral choices? We aimed to conduct the first controlled study of the effects of ordinary philosophical ethics classes on real-world moral choices, using non-self-report, non-laboratory behavior as the dependent measure. We assigned 1332 students in four large philosophy classes to either an experimental group on the ethics of eating meat or a control group on the ethics of charitable giving. Students in each group read a philosophy article on their assigned topic and optionally (...) viewed a related video, then met with teaching assistants for 50-minute group discussion sections. They expressed their opinions about meat ethics and charitable giving in a follow-up questionnaire (1032 respondents after exclusions). We obtained 13,642 food purchase receipts from campus restaurants for 495 of the students, before and after the intervention. Purchase of meat products declined in the experimental group (52% of purchases of at least $4.99 contained meat before the intervention, compared to 45% after) but remained the same in the control group (52% both before and after). Ethical opinion also differed, with 43% of students in the experimental group agreeing that eating the meat of factory farmed animals is unethical compared to 29% in the control group. We also attempted to measure food choice using vouchers, but voucher redemption rates were low and no effect was statistically detectable. It remains unclear what aspect of instruction influenced behavior. (shrink)

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.

For a period of several years the philosopher of science Hasok Chang has promoted various inter-related views including pluralism, pragmatism, and an associated view of natural kinds. He has also argued for what he calls the persistence of everyday terms in the scientific view. Chang claims that terms like phlogiston were never truly abandoned but became transformed into different concepts that remain useful. On the other hand, Chang argues that some scientific terms such as acidity have suffered a form of (...) “rupture”, especially in the case of the modern Lewis definition of acids. Chang also complains that the degree of acidity of a Lewis acid cannot be measured using a pH meter and seems to regard this as a serious problem. The present paper examines some of these views, especially what Chang claims to be a rupture in the definition of acidity. It is suggested that there has been no such rupture but a genuine generalization, on moving from the Brønsted-Lowry theory to the Lewis theory of acidity. It will be shown how the quantification and measurement of Lewis acidity can easily be realized through the use of equilibrium theory and the use of stability constants. (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)

We propose four policies of ethical design of human-grade Artificial Intelligence. Two of our policies are precautionary. Given substantial uncertainty both about ethical theory and about the conditions under which AI would have conscious experiences, we should be cautious in our handling of cases where different moral theories or different theories of consciousness would produce very different ethical recommendations. Two of our policies concern respect and freedom. If we design AI that deserves moral consideration equivalent to that of human beings, (...) that AI should be designed with self-respect and with the freedom to explore values other than those we might impose. We are especially concerned about the temptation to create human-grade AI pre-installed with the desire to cheerfully sacrifice itself for its creators’ benefit. (shrink)

Moorean arguments are a popular and powerful way to engage highly revisionary philosophical views, such as nihilism about motion, time, truth, consciousness, causation, and various kinds of skepticism (e.g., external world, other minds, inductive, global). They take, as a premise, a highly plausible first-order claim (e.g., cars move, I ate breakfast before lunch, it’s true that some fish have gills) and conclude from it the falsity of the highly revisionary philosophical thesis. Moorean arguments can be used against nihilists in ethics (...) (error theorists), too. Recently, error theorists have recognized Moorean arguments as a powerful challenge and have tried to meet it. They’ve argued that moral Moorean premises seem highly credible to us, but aren’t, by offering various debunking explanations. These explanations all appeal to higher-order evidence—evidence of error in our reasoning. I argue that drawing attention to higher-order evidence is a welcome contribution from error theorists, but that the higher-order evidence actually counts further against error theoretic arguments—including their debunking explanations—and further in favor of Moorean arguments and the commonsense views they support. Along the way I answer a few prominent objections to Moorean arguments: that they are objectionably question-begging, rely on categorizing some facts as “Moorean Facts”, and that reports of one’s credence in a proposition bears no interesting relation to that proposition’s credibility. (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.

The notion of domain specificity plays a central role in some of the most important debates in cognitive science. Yet, despite the widespread reliance on domain specificity in recent theorizing in cognitive science, this notion remains elusive. Critics have claimed that the notion of domain specificity can't bear the theoretical weight that has been put on it and that it should be abandoned. Even its most steadfast proponents have highlighted puzzles and tensions that arise once one tries to go beyond (...) an initial intuitive sketch of what domain specificity involves. In this paper, we address these concerns head on by developing an account of what it means for a cognitive mechanism to be domain specific that overcomes the obstacles that have made domain specificity seem so problematic. We then apply this understanding of domain specificity to one of the key debates that it has figured prominently in—the rationalism-empiricism debate concerning the origins of cognitive traits—and introduce several related theoretical notions that work alongside domain specificity in helping to clarify what makes a view more (or less) rationalist. This example illustrates how the notion of domain specificity can, and should, continue to play a central role in ongoing debates in cognitive science. (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)

An Artificially Intelligent system (an AI) has debatable moral personhood if it is epistemically possible either that the AI is a moral person or that it falls far short of personhood. Debatable moral personhood is a likely outcome of AI development and might arise soon. Debatable AI personhood throws us into a catastrophic moral dilemma: Either treat the systems as moral persons and risk sacrificing real human interests for the sake of entities without interests worth the sacrifice, or do not (...) treat the systems as moral persons and risk perpetrating grievous moral wrongs against them. The moral issues become even more perplexing if we consider cases of possibly conscious AI that are subhuman, superhuman, or highly divergent from us in their morally relevant properties. (shrink)

On an intellectualist approach to belief, the intellectual endorsement of a proposition (such as “The working poor deserve as much respect as the handsomely paid”) is sufficient or nearly sufficient for believing it. On a pragmatic approach to belief, intellectual endorsement is not enough. Belief is behaviorally demanding. To really, fully believe, you must also “walk the walk.” This chapter argues that the pragmatic approach is preferable on pragmatic grounds: It rightly directs our attention to what matters most in thinking (...) about belief. (shrink)

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)

I frame my argument by way of Hayek's tendency to treat Hume and Smith as central articulations of the rule of law. The rest of the paper explores their defense of clientelism. First, I introduce Hume’s ideas on the utility of patronage in his essay, “Of the Independency of Parliament.” I argue that in Hume clientelism just is a feature of parliamentary business. It seems ineliminable. I then contextualize Hume’s account by comparing it to Montesquieu’s account of this system of (...) patronage in Book XIX, chapter 27 of The Spirit of the Laws. Montesquieu primarily treats it as a species of bad corruption. However, he also sees some benefits to it. I then turn to Smith and I show that he echoes Hume’s analysis of corruption in an easily ignored passage in Wealth of Nations. I then show that for Smith one argument in favor of a kind of federal parliamentary union between Great Brittain and her American colonies lies in its ability to facilitate and make more efficient the system of patronage by the Crown. While Smith’s account of these matters is quite Humean, one can discern in Smith a distinct cost-benefit argument for the acceptance of the necessity of a system of patronage in the service of the peaceful expansion and entrenchment of the rule of law in his proposal for parliamentary union. (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)

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 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)

I argue that Smith proposed a new kind of imperialism, which we would describe as a species of ‘federalism,’ and that his plan influenced Bentham and Kant in their federal projects, although they seem to have been unaware of each other’s proposals. In what follows, I outline Smith’s position. I then describe Kant’s and Bentham’s debts to Smith in turn. This will also allow for greater clarity about the nature of early liberalism.

It is often hard to articulate a thought. Why should this be, if not that to have a thought is one thing, and to know it something else? In fact the gap between thought and its articulation is not epistemic. While it’s true that we come to know our thoughts better through articulation, it's not because a thought is already perfectly determinate despite my ignorance of it. Rather, we make the thought determinate through articulation. This connection between the determinacy of (...) the thinker’s knowledge of their thought and the determinacy of the thought itself is a mark of thought’s fundamentally first-personal character: what’s beyond the reach of my current powers of articulation cannot be an object of any attitude of mine. (shrink)

This paper, which is a homage to the life and work of Stephen Gaukroger, explores competing receptions of Spencer’s programmatic synthetic philosophy. In so doing, I show how T.H Huxley and C.S. Peirce reconfigured a familiar, long-standing debate about cosmogeny and cosmology in the early modern period.

Arguments from disagreement against moral realism begin by calling attention to widespread, fundamental moral disagreement among a certain group of people. Then, some skeptical or anti-realist-friendly conclusion is drawn. Chapter 2 proposes that arguments from disagreement share a structure that makes them vulnerable to a single, powerful objection: they self-undermine. For each formulation of the argument from disagreement, at least one of its premises casts doubt either on itself or on one of the other premises. On reflection, this shouldn’t be (...) surprising. These arguments are intended to support very strong metaphysical or epistemological conclusions about morality. They must therefore employ very strong metaphysical or epistemological premises. But, given the pervasiveness of disagreement in philosophy, especially about metaphysics and epistemology, very strong premises are virtually certain to be the subject of widespread, intractable disagreement—precisely the sort of disagreement that proponents of these arguments think undermine moral claims. Thus, these arguments undermine their own premises. If Chapter 2’s argument is sound, it provides realists with a single, unified strategy for responding to any existing or forthcoming arguments from disagreement. (shrink)

Abstract: Longtermist Effective Altruists (EAs) aim to mitigate the risk of existential catastrophes. In this paper, I have three goals. First, I identify a catastrophic risk that EAs have completely ignored. I call it religious catastrophe: the threat that (as Christians and Muslims have warned for centuries) billions of people stand in danger of going to hell for all eternity. Second, I argue that, even by secular EA lights, religious catastrophe is at least as bad and at least as probable (...) and, therefore, at least as important as many of the standard EA catastrophic risks (e.g., catastrophic climate change, nuclear winter). Third, I present the following dilemma for secular EAs: either adopt religious catastrophe as an EA cause or ignore religious catastrophe but also ignore catastrophic risks whose mitigation has a similar or lower expected value (i.e., most or all of them). Business as usual—ignoring religious catastrophe while championing the typical EA causes—is not an option consistent with longtermist EA principles. (shrink)

In this chapter, I identify a distinctive use of ‘sublime’ in Adam Smith’s philosophy of science. I show that for Smith a scientific discipline and its theories can be sublime. I trace this idea back to Malebranche. I show that in Smith it is a way to convey something about the irrational nature of the natural order lurking behind’s science’s intellectual achievements. In section 1, I diagnose and distinguish three uses of ‘sublime’ in Smith. I situate two of these in (...) the early modern discussions of the sublime in the wake of Boileau's and William Smith’s translations of Longinus. 1 I argue that the third in which Smith treats intellectual disciplines as themselves sublime is relatively distinctive, although not wholly unique to Smith. In section 2, I put this notion in context and trace it, somewhat speculatively, back to the reception of Isaac Newton by Smith and Smith’s reading of Malebranche. In the third section I conclude with some reflections on the significance of this discussion for Smith’s conception of the nature of scientific rationality. (shrink)

According to the analysis of concessive conditionals suggested by Crupi and Iacona, a concessive conditional $$p{{\,\mathrm{\hookrightarrow }\,}}q$$ p ↪ q is adequately formalized as a conjunction of conditionals. This paper presents a sound and complete axiomatic system for concessive conditionals so understood. The soundness and completeness proofs that will be provided rely on a method that has been employed by Raidl, Iacona, and Crupi to prove the soundness and completeness of an analogous system for evidential conditionals.

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)

One of the deepest and longest-lasting debates in ethics concerns a version of the Euthyphro question: are choiceworthy things choiceworthy because agents have certain attitudes toward them or are they choiceworthy independent of any agents’ attitudes? Reasons internalists, such as Bernard Williams, Michael Smith, Mark Schroeder, Sharon Street, Kate Manne, Julia Markovits, and David Sobel answer in the first way. They think that all of an agent’s normative reasons for action are grounded in facts about that agent’s pro-attitudes (e.g., her (...) desires, valuing states, normative judgments). According to the most popular brand of internalism, idealizing internalism, an agent’s reasons are grounded, not in her actual pro-attitudes, but rather in what her pro-attitudes would be in suitably idealized conditions. Idealizing internalists presuppose that, for any agent with an irrational set of attitudes, there is one uniquely rational set that that agent would have if she were to undergo the relevant idealizing process. I argue that this assumption is false and that it raises two puzzles for idealizing internalism: one about the existence of practical reasons and another about their normative weight. I argue that idealizing internalists have an adequate solution to the first puzzle but not the second. Indeed, when they try to solve the second puzzle, they confront a dilemma. This second puzzle and the associated dilemma thus constitutes a powerful, but so far unnoticed, difficulty for idealizing internalism. (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)

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)

The mainstream tradition in recent Anglophone Zhuangzi interpretation treats spontaneous skillful responsiveness – similar to the spontaneous responsiveness of a skilled artisan, athlete, or musician – as a, or the, Zhuangzian ideal. However, this interpretation is poorly grounded in the Inner Chapters. On the contrary, in the Inner Chapters, this sort of skillfulness is at least as commonly criticized as celebrated. Even the famous passage about the ox-carving cook might be interpreted more as a celebration of the knife’s passivity than (...) as a celebration of the cook’s skillfulness. (shrink)

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)

The cognitive science of belief is a burgeoning field, with insights ranging from detailing the fundamental structure of the mind, to explaining the spread of fake news. Here we highlight how new insights into belief acquisition, storage, and change can transform our understanding of psychiatric disorders. Although we focus on monothematic delusions, the conclusions apply more broadly. -/- .

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)

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)

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)

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)

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)

Foundational theories of mental content seek to identify the conditions under which a mental representation expresses, in the mind of a particular thinker, a particular content. Normativists endorse the following general sort of foundational theory of mental content: A mental representation r expresses concept C for agent S just in case S ought to use r in conformity with some particular pattern of use associated with C. In response to Normativist theories of content, Kathrin Glüer-Pagin and Åsa Wikforss propose a (...) dilemma, alleging that Normativism either entails a vicious regress or falls prey to a charge of idleness. In this paper, I respond to this argument. I argue that Normativism can avoid the commitments that generate the regress and does not propose the sort of explanation required to charge that its explanation has been shown to be problematically idle. The regress-generating commitment to be avoided is, roughly, that tokened, contentful mental states are the product of rule-following. The explanatory task Normativists should disavow is that of explaining how it is that beliefs and other contentful mental states are produced. I argue that Normativism, properly understood as a theory of content, does not provide this kind of psychological explanation, and therefore does not entail that such explanations are to be given in terms of rule-following. If this is correct, Normativism is not the proper target of the dilemma offered by Glüer-Pagin and Wikforss. Understanding why one might construe Normativism in the way Glüer-Pagin and Wikforss must, and how, properly understood, it avoids their dilemma, can help us to appreciate the attractiveness of a genuinely normative theory of content and the importance of paying careful attention to the sort of normativity involved in norm-based theories of content. (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 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)