In this chapter, I discuss some lesser-known aspects of Husserl’s concept of the phenomenological reduction in relation to his use of the notion of reflection, and indicate how these topics connect to concerns in contemporary philosophy after the analytic-continental divide. Empathy, collective intentionality, non-representationalism, non-cognitivism, and the focus on the lived body as a source of sense-making and knowing-how are all domains in which Husserl’s conception of the reduction anticipates recent philosophical trends after the analytic-continental divide. (...) They are also interconnected parts of a unified conception of philosophy that arises from the phenomenological reduction when we reflect radically on experience in its full breadth as an embodied phenomenon that is both historical and communal. (shrink)

Reduction and reductionism have been central philosophical topics in analytic philosophy of science for more than six decades. Together they encompass a diversity of issues from metaphysics and epistemology. This article provides an introduction to the topic that illuminates how contemporary epistemological discussions took their shape historically and limns the contours of concrete cases of reduction in specific natural sciences. The unity of science and the impulse to accomplish compositional reduction in accord with a layer-cake vision (...) of the sciences, the seminal contributions of Ernest Nagel on theory reduction and how they strongly conditioned subsequent philosophical discussions, and the detailed issues pertaining to different accounts of reduction that arise in both physical and biological science (e.g., limit-case and part-whole reduction in physics, the difference-making principle in genetics, and mechanisms in molecular biology) are explored. The conclusion argues that the epistemological heterogeneity and patchwork organization of the natural sciences encourages a pluralist stance about reduction. (shrink)

Empiricist philosophers like Carnap invoked analyticity in order to explain a priori knowledge and necessary truth. Analyticity was “truth purely in virtue of meaning”. The view had a deflationary motivation: in Carnap’s proposal, linguistic conventions alone determine the truth of analytic sentences, and thus there is no mystery in our knowing their truth a priori, or in their necessary truth; for they are, as it were, truths of our own making. Let us call this “Carnapian conventionalism”, conventionalismC and cognates (...) for short. This conventionalistC explication of the a priori has been the target of sound criticisms. Arguments like Quine’s in “Truth by Convention” are in our view decisive: the truth of conventionalismC requires that the class of logical truths and logical validities be reductively accounted for as conventionally established; however, no such reduction is forthcoming, because logic is needed to generate the entire class from any given set of conventions properly so-called. Granted that conventionalismC is untenable, we want to take issue with a different, usually made criticism. Although the argument uncovers some difficulties for the way conventionalist claims are defended by some of its advocates, we will try to show that it fails. The criticism thus stands in the way of a proper appreciation of why the Carnapian account of the a priori is not correct. We will try to illustrate this by showing that the criticism we will dispute would dispose of conventionalist claims not only regarding philosophically problematic cases – logical and mathematical truths –, but also regarding cases for which they have some prima facie plausibility. One such case is that of truths that follow from mere abbreviations, “nominal” definitions; ‘someone is a bachelor if and only if he is an unmarried adult male’ can serve at this point for illustration. We will try to articulate a clear sense in which the contents of assertion such as this can be truths by convention. We do not need to prove that a conventionalist claim is true in those cases; it is enough for us to show that it is intelligible, for the arguments we will confront question even this. (shrink)

It can be argued (cf. Dizadji‑Bahmani et al. 2010) that an increase in coherence is one goal that drives reductionist enterprises. Consequently, the question if or how well this goal is achieved can serve as an epistemic criterion for evaluating both a concrete case of a purported reduction and our model of reduction : what conditions on the model allow for an increase in coherence ? In order to answer this question, I provide an analysis of the relation (...) between the reduction and the coherence of two theories. The underlying model of reduction is a (generalised) Nagelian model (cf. Nagel 1970, Schaffner 1974, Dizadji‑Bahmani et al. 2010). For coherence, different measures have been put forward (e.g. Shogenji 1999, Olsson 2002, Fitelson 2003, Bovens & Hartmann 2003). However, since there are counterexamples to each proposed coherence measure, we should be careful that the analysis be sufficiently stable (in a sense to be specified). It will turn out that this can be done. (shrink)

Some time ago, the philosopher Luciano Floridi suggested that Western philosophy, and the mainstream contemporary approach to it traditionally called ‘analytic philosophy’, is in dire need of a reboot. The concern was that the discipline might be in a period of decadence. Analytic philosophy would be benefited by greater internationalization, wider and more transparent decision-making, and the reduction (as much as possible) of conflicts of interest as well as of its current habit of hiring and providing publication (...) opportunities on the basis of contacts, networking, and academic pedigree. If we are right, then we need a reconditioning of the institutional framework of analytic philosophy that adjusts it to the current global and interconnected world. (shrink)

How to think a unique and determinative turn in analytic philosophy of mind? To answer this question this article first presents an attempt to render clear that analytic phenomenology, by contrast with conceptions of phenomenology of the XXth century, beneficially dispenses with several methodological and conceptual assumptions that were assumed to be compulsory, as phenomenological reduction, a notion of synthesis, and a philosophical notion of the a priori. It then presents some eventual difficulties to the achievement of (...) a phenomenological turn within analytic philosophy, which are, the neglect of historicity, abstractionism, the acknowledgement of the place of language in our lives, and solipsism. It finally presents several demands that concern the felicity of contemporary analytic phenomenologies, namely, anti-abstractionism, fallibilism, attention to polyadic relations, and the integration of ecological and decolonial concerns of our cultures. (shrink)

The transition to a Circular Economy (CE) is a critical strategy in addressing global challenges related to resource depletion, waste generation, and environmental sustainability. Cloud computing, as a scalable and data-driven technology, has a significant role to play in enabling the circular economy by enhancing resource efficiency, waste reduction, and the optimization of product lifecycles. This paper explores how cloud computing facilitates circular economy practices by leveraging advanced technologies such as data analytics, Internet of Things (IoT), and Artificial Intelligence (...) (AI). We discuss how cloud platforms support businesses in tracking and managing resource flows, implementing closed-loop systems, and optimizing product design, repair, and reuse. By analyzing real-world case studies from industries such as manufacturing, retail, and energy, we highlight the potential of cloud-based systems in driving sustainable business models that minimize waste and maximize resource recovery. The paper also addresses challenges in the integration of cloud computing with circular economy practices and provides insights into the future potential of cloud technologies in advancing sustainability. (shrink)

Edge computing, combined with machine learning (ML), is emerging as a transformative paradigm for handling the data deluge generated by the Internet of Things (IoT) devices. Traditional cloud computing is often inadequate for the low-latency, high-throughput demands of IoT applications, especially in real-time analytics. By processing data locally at the edge of the network, edge computing reduces latency, enhances privacy, and alleviates the bandwidth burden on centralized cloud servers. The integration of ML algorithms into edge devices further augments the decision-making (...) process by enabling real-time data analytics, improving operational efficiency, and delivering immediate insights. This paper explores the synergy between edge computing, ML, and IoT, discussing how real-time data analytics at the edge can transform industries such as smart cities, healthcare, and industrial automation. We also present challenges, future directions, and practical applications of machine learning-based real-time analytics for edge computing in IoT ecosystems. (shrink)

In this paper, we support a continuistic reading of Joseph Margolis' philosophy, defending the claim that in the 1970s, Margolis tackled the issues suggested by the analytic philosophy of art from an original theoretical perspective and through conceptual tools exceeding the analytical framework. Later that perspective turned out to be a radically pragmatist one, in which explicitly tolerant realistic claims and non-reductive naturalism converged with radical historicism and contextualism. We will endorse this thesis by focusing on two important concepts (...) appearing in Margolis' aesthetics essays from the late 1950s to the 1970s: the type-token pair and the notion of cultural emergence. On the one hand, we will emphasise Margolis' indebtedness to Peirce's first formulation of the type-token distinction, involving a strong interdependence between the two elements of the pair, as well as an anti-essentialistic, historicised, and contextualised notion of type. On the other hand, we will delve into Margolis' exploration of the concept of emergence and cultural emergence, involving a genuinely pluralistic view of ontology, as well as a non-reductive, continuistic form of naturalism. Finally, we will connect the criticism of the so-called closure of the physical world with Margolis' anti-autonomistic stance in defining artworks. (shrink)

In this chapter, I defend the program of conceptual analysis, broadly construed, and the method of thought experiments in epistemology, as a first-person enterprise, that is, as one which draws on the investigator's own competence in the relevant concepts. I do not suggest that epistemology is limited to conceptual analysis, that it does not have important a posteriori elements, that it should not draw on empirical work wherever relevant (and non-question begging), or that it is not a communal enterprise. Although (...) discussion in the space available will necessarily be brief, and many points must be elided altogether, I aim to sketch salient features of the landscape, clarify issues, set aside some confusions, and outline responses to some recent challenges. In §2, I sketch a traditional account of concepts and conceptual truths. In §3, I review a broad conception of analysis as encompassing not just reduction but also articulation of conceptual connections. In §4, I address the charge that in studying epistemic concepts we turn away from our proper target of study, the actual phenomena of knowledge, justification, and so on. In §5, I give a brief overview of the method of thought experiments. In §6, I address objections to thought experiments that have their source in "experimental philosophy." In §7, I address the charge that pursuing conceptual analysis in epistemology is misplaced because 'knowledge', 'justification', 'evidence' and so on, are natural kind terms, and hence that we must engage in empirical research to discover the real essences of the kinds they pick out (if any). (shrink)

This essay critiques the return to objects posited by certain new materialisms, most specifically the speculative realism of Harman, Meillassoux and Brassier. It argues that their “non-relational” and “autonomous” ontology represents a neo-positivist conception of reality. In place of such an atomistic ontology, I will suggest that the new materialisms develop a more productive, “non-reductive materialism”—a term drawn from analytic philosophy of mind. I will interpret Merleau-Ponty and Jean-Luc Nancy as crucial examples of such a materialism on the continental (...) side. Rather than being based on the non-relational innerness of an object, this position instead takes into account matter’s fundamentally extended nature. Confirmed by examples such as the growing evidence for neuroplasticity, the externalist, non-reductive view advances the new materialist argument that matter is “agentive” and “active” rather than “mechanic” and “passive,” without slipping into an anti-social-constructionist biologism or behaviorism. (shrink)

Dretske makes arguments in which he suggests three levels of the intentionality of knowledge: (1) a low level belonging to law-like causal relationships between physical properties, (2) a middle level defined in terms of the intensionality of sentences describing knowledge of these properties, and (3) a highest level of human cognition. Acknowledging the need to explain humans’ analytic knowledge, however, he proposes that we know a proposition P analytically when we know that P entails Q, even though P and (...) Q are not identical. -/- I explore examples of deduction involving properties of every-day life, such as being a bachelor, being a stay-at-home mom, and being a consultant. I argue that to make these common sense inferences, the average person has to be aware of both analytical entailments and propositional entailments. While the former simply is knowing that if Emily is a stay-at-home mom, then Emily is female, for example, the latter requires us to be conscious of the (often complex) logical structure given to our beliefs by the deductive connectives AND, NOT, and OR. From an empirical standpoint, there are two general possibilities for reductive accounts of these kinds of awareness. One would be a counterfactually defined set of causal criteria, such as Dretske’s. The other would involve statistical patterns of synaptic connections between neural phenomena, whose firings represent our concepts for AND, NOT, and OR. I argue that neither of these reductive explanations is viable; and that in order to explain the success of our inferences, we must appeal to two kinds of higher cognitive intentionality. First, we usually have some conscious awareness of analytical and propositional entailments when we engage in common sense-based deduction. Second, we often have a conscious intention to think deductively during these inferences, which drives our success. (shrink)

This article discusses a kind of knowledge classifiable as knowledge-wh but which seems to defy analysis in terms of the standard reductive theory of knowledge-wh ascriptions, according to which they are true if and only if one knows that p, where this proposition is an acceptable answer to the wh-question ‘embedded’ in the ascription. Specifically, it is argued that certain cases of knowing what an experience is like resist such treatment. I argue that in some of these cases, one can (...) know that p, where an acceptable answer to the question ‘What’s the experience like?’ is that p, but where one does not know what the experience is like. This could point to the distinctiveness of this sort of knowledge. (shrink)

In Chronopathologies, the Australian philosopher Jack Reynolds gives an exciting analysis of the intimate connection between time and politics in three trajectories of contemporary philosophy: analytic philosophy, poststructuralism and phenomenology. These trajectories are incompatible in the sense that internalizing the norms of any one of them 'makes taking the other(s) seriously very difficult' (p. 225). Given this incompatibility, Reynolds convincingly argues that the only way forward is to draw out the differences between these trajectories, in order to address the (...) problems and limitations of each from the perspective of the others. Reynolds's fruitful approach uncovers that each trajectory is threatened by a disease of time or 'chronopathology' (a key term that is never fully defined). Such a chronopathology can be characterized as a pathological condition that is the result of two factors: the reduction of the plurality of time to only one of its dimensions; a biased and one-sided view on ethics and politics. Reynolds convincingly identifies the root of the threat. He develops his diagnosis in three steps. 1. Analytic philosophy over-emphasizes the synchronic dimension of time, without making any room for its diachronic dimension. 2. Poststructuralism acknowledges the necessity of a reciprocal relation between the synchronic and the diachronic dimension of time, but ultimately privileges the latter (i.e., the relation remains asymmetrical). 3. An embodied phenomenology opens up a way to bring the synchronic and diachronic dimension of time in a reciprocal and symmetrical relation that does not privilege the one over the other. (shrink)

Abstract: The economic and social effects of the phenomenon of the hidden economy include that some of the funds practiced by the hidden economic activity result from evasion of payment of taxes owed to the state, which necessarily means the lack of resources available to the state to finance its economic and social development programs. Through the ability to secure goods at prices lower than the prices of goods in the official sector and this is generated by encouraging the growing (...) phenomenon of counterfeiting and imitation, the basic premise that has been proven hidden economy affects the sustainable development of economic and social dimensions. The researcher relied on the analytical descriptive approach, which was concerned with describing the various aspects related to the effects of the hidden economy and the strategies adopted by the Sudan to limit it, with the aim of reaching logical results that enable the formulation of a proposed vision and solutions to the problem of study. This leads to the difficulty of correctly estimating the size of the variables of interest to policy makers, because it is difficult to measure and this has negative effects on estimating the rate of growth correctly, which leads to the development of policies that appear to be clear but in fact may Be the opposite. The researcher recommended based on the results should include the hidden economic activities that are linked to social and economic status characterized by poverty and unemployment within the integration approaches in the national economy taking into account the factor of creativity, the need to combat activities associated with organized crime and eliminate it and punish violators in strict application of laws Activation of deterrent laws and increase fines for those who They work in a hidden form, as well as those who employ them (informal employment) and show a greater degree of control and control of these forms of hidden employment. (shrink)

In this chapter, I argue that Kant can be read as holding that "ought" judgments follow from certain "is" judgments by mere analysis. More specifically, I defend an interpretation according to which (1) Kant holds that “S ought to F” is analytically equivalent to “If, as it can and would were there no other influences on the will, S’s faculty of reason determined S’s willing, S would F” and (2) Kant’s notions of reason, the will, and freedom are all fundamentally (...) non-normative. Not only does this reading have significant textual support, but, I claim, it also sheds light on why Kant takes freedom and morality to mutually imply one another. Moreover, while Kant does take there to be a gap between moral judgments and empirical descriptive statements, that gap is consistent with the analysis in question. I conclude by arguing that this rejection of the is-ought gap is not as philosophically implausible as it might seem, with a focus on G.E. Moore and Hume’s arguments for certain ‘gaps’ between the normative and the non-normative. (shrink)

Some of the oldest and deepest questions in philosophy fall under the umbrella of consciousness and mind: What is the mind and how is it related to the body? What provides our thoughts with content? How is consciousness related to the natural world? Do we have distinctive causal powers? Analytic philosophers have made significant progress on these and related problems in the last century. Given the high volume of work on such topics, this chapter is necessarily selective. It offers (...) major touchstones but is slanted in favor of work that touches base with the sciences. The chapter starts by describing the progression of thought on the mind-body problem, from dualism and behaviorism to non-reductive materialism. It then describes the problem of intentionality, with a focus on partial solutions from Dretske and Millikan, ending with a brief discussion of 4E theories of mental content. The section on the problem of consciousness starts with the well-known knowledge and modal arguments before describing some attempted initial solutions, such as eliminative materialism and panpsychism. Finally, there is a brief section on agency and free will, which focuses on the link between free will and consciousness. (shrink)

Analytic reductivism in metaethics has long been out of philosophical vogue. In Confusion of Tongues: A Theory of Normativity (2014), Stephen Finlay tries to resuscitate it by developing an analytic metaethical reductive naturalistic semantics for ‘good.’ He argues that an end-relational semantics is the simplest account that can explain all of the data concerning the term, and hence the most plausible theory of it. I argue that there are several assumptions that a reductive naturalist would need to make (...) about contextual parameter completion to derive reductive naturalism from an end-relational semantics—assumptions that nonnaturalists might forcefully resist. I also argue for the claim that an end-relational semantics could provide surprising resources for nonnaturalists to address semantic worries about their views—the upshot of which paints the way for a new and sophisticated nonnaturalism about the semantics of moral discourse. Nonnaturalists have long suspected that they need not worry about semantics and this paper lends support to that suspicion. (shrink)

The identity theory’s rise to prominence in analytic philosophy of mind during the late 1950s and early 1960s is widely seen as a watershed in the development of physicalism, in the sense that whereas logical behaviourism proposed analytic and a priori ascertainable identities between the meanings of mental and physical-behavioural concepts, the identity theory proposed synthetic and a posteriori knowable identities between mental and physical properties. While this watershed does exist, the standard account of it is misleading, as (...) it is founded in erroneous intensional misreadings of the logical positivists’—especially Carnap’s—extensional notions of translation and meaning, as well as misinterpretations of the positivists’ shift from the strong thesis of translation-physicalism to the weaker and more liberal notion of reduction-physicalism that occurred in the Unity of Science programme. After setting the historical record straight, the essay traces the first truly modern identity theory to Schlick’s pre-positivist views circa 1920 and goes on to explore its further development in Feigl, arguing that the fundamental difference between the Schlick-Feigl identity theory and the more familiar and influential Place-Smart-Armstrong identity theory has resurfaced in the deep and seemingly unbridgeable gulf in contemporary philosophy of consciousness between inflationary mentalism and deflationary physicalism. (shrink)

Espousing non-reductive physicalism, how do we pick out the specific relevant physical notion(s) from physical facts, specifically in relation to phenomenal experience? Beginning with a historical review of Gilbert Ryle’s behaviorism and moving through Hilary Putnam’s machine-state functionalism and Wilfrid Sellars’ inferential framework, up to more contemporaneous computationalist- and cognitivist-functionalism (Gualtiero Piccinini), we survey accounts of mentality that countenance the emergence of mental states vide input- and output-scheme. Ultimately arriving at the conclusion that functionalism cannot account for problems such as (...) no-cognition reports, we see any robust defense of physicalism must appeal to other principles. Thus we move on to the question of emergence, not as it pertains to the hard(er) problem, but to the matter of conceptual externalization of mental properties from physical properties. Accordingly, we navigate Karen Bennett’s compatibilist solution to the exclusion argument against mental causation for the non-reductive physicalist position, according to which the physical effects of mental cases are not overdetermined, demonstrating that this backfires by offering a path for the mind-body interactionist Dualist to claim causal closure by appealing to this same schema. We conclude with a series of conceptual musings regarding rationality which take into account our challenges and findings, querying about whether phenomenal consciousness is a fundamentally private, or socially configured, notion. (shrink)

This essay proposes a reductive account of robust macro-regularities. On the view proposed, regularities can earn their elite scientific status by featuring in good summaries of restricted regions in the space of physical possibilities: our “modal neighborhoods.” I argue that this view vindicates “nomic foundationalism”, while doing justice to the practice of invoking physically contingent generalizations in higher-level explanations. Moreover, the view suggests an explanation for the particular significance of robust macro-regularities: we rely on summaries of our modal neighborhoods when (...) reasoning hypothetically about “agentially accessible” possibilities. (shrink)

Recent philosophical inquiry into the relations thought to metaphysically structure the world has largely focused on the notion of metaphysical grounding, whereas previously analytic metaphysicians tended to talk in terms of ontological dependence. This raises the question of how metaphysical grounding and ontological dependence relate to one another. In this article, I sketch a picture of grounding as a form of metaphysically substantive sufficient condition and ontological dependence as a form of metaphysically substantive necessary condition, anchored in widely accepted (...) principles for how these relations work. As a case study, I apply this picture to Jack Casey's recent attempt to reduce ontological dependence to a special case of grounding. I argue that Casey's account fails and I show how the picture of grounding and ontological dependence presented here helps us diagnose where the account goes wrong, as well as how it makes sense of the phenomena Casey's account struggles with without having to resort to any ad hoc maneuvers. Thinking of grounding as a form of metaphysically substantive sufficient condition and ontological dependence as a form of metaphysically substantive necessary condition is thus shown to help sharpen our understanding of these phenomena and provide minimal constraints on any purported reductive account of one of the phenomena in terms of the other. (shrink)

Why did such highly abstract ideas as truth, knowledge, or justice become so important to us? What was the point of coming to think in these terms? This book presents a philosophical method designed to answer such questions: the method of pragmatic genealogy. Pragmatic genealogies are partly fictional, partly historical narratives exploring what might have driven us to develop certain ideas in order to discover what these do for us. The book uncovers an under-appreciated tradition of pragmatic genealogy which cuts (...) across the analytic-continental divide, running from the state-of-nature stories of David Hume and the early genealogies of Friedrich Nietzsche to recent work in analytic philosophy by Edward Craig, Bernard Williams, and Miranda Fricker. However, these genealogies combine fictionalizing and historicizing in ways that even philosophers sympathetic to the use of state-of-nature fictions or real history have found puzzling. To make sense of why both fictionalizing and historicizing are called for, the book offers a systematic account of pragmatic genealogies as dynamic models serving to reverse-engineer the points of ideas in relation not only to near-universal human needs, but also to socio-historically situated needs. This allows the method to offer us explanation without reduction and to help us understand what led our ideas to shed the traces of their practical origins. Far from being normatively inert, moreover, pragmatic genealogy can affect the space of reasons, guiding attempts to improve our conceptual repertoire by helping us determine whether and when our ideas are worth having. (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 phenomenology of a priori intuition is explored at length (where a priori intuition is taken to be not a form of belief but rather a form of seeming, specifically intellectual as opposed to sensory seeming). Various reductive accounts of intuition are criticized, and Humean empiricism (which, unlike radical empiricism, does admit analyticity intuitions as evidence) is shown to be epistemically self-defeating. This paper also recapitulates the defense of the thesis of the Autonomy and Authority of Philosophy given in the (...) author’s “A Priori Knowledge and the Scope of Philosophy” (Philosophical Studies, 1996). (shrink)

Humean Supervenience is a metaphysical model of the world according to which all truths hold in virtue of nothing but the total spatiotemporal distribution of perfectly natural, intrinsic properties. David Lewis and others have worked out many aspects of HS in great detail. A larger motivational question, however, remains unanswered: As Lewis admits, there is strong evidence from fundamental physics that HS is false. What then is the purpose of defending HS? In this paper, we argue that the philosophical merit (...) of HS is largely independent of whether it correctly represents the world’s fundamental structure. In particular, we show that insofar as HS is an apt model of the world’s higher-level structure, it thereby provides a powerful argument for reductive physicalism and explains otherwise opaque inferential relations. Recent criticism of HS on the grounds that it misrepresents fundamental physical reality is, therefore, beside the point. (shrink)

What is the computational notion of “implementation”? It is not individuation, instantiation, reduction, or supervenience. It is, I suggest, semantic interpretation.

In the era of big data and distributed ecosystems, understanding the origin, flow, and transformation of data across complex infrastructures is critical for ensuring transparency, accountability, and informed decision-making. As data-driven enterprises increasingly rely on hybrid cloud architectures, data lakes, and real-time pipelines, the complexity of tracking data movement and transformations grows exponentially. Traditional data lineage solutions, often based on static metadata extraction or rule-based approaches, are insufficient in dynamically evolving environments and fail to provide granular, context-aware insights. This research (...) introduces an AI-augmented, cognitive graph-based framework for autonomous data lineage, designed to enhance data traceability in large-scale and heterogeneous data ecosystems. The framework leverages cutting-edge machine learning (ML), natural language processing (NLP), and graph-based reasoning techniques to enable intelligent discovery, semantic interpretation, and continuous monitoring of data assets throughout their lifecycle. The core of the solution lies in the construction of a dynamic cognitive graph that represents relationships between datasets, processes, systems, and users, enriched with contextual annotations and temporal dimensions. Our architecture incorporates self-learning mechanisms, enabling adaptive lineage discovery and automated anomaly detection. By applying reinforcement learning and stream analytics, the framework not only maps data flows in real time but also evolves with system changes, schema variations, and business logic updates. It provides both forward and backward traceability, supports impact analysis, and enhances compliance auditing capabilities. Furthermore, our system is capable of processing both structured and unstructured metadata, employing advanced NLP models to extract implicit lineage information from data dictionaries, SQL queries, and documentation. The result is a holistic, intelligent, and scalable data lineage solution that reduces manual intervention, mitigates operational risks, and supports regulatory compliance frameworks such as GDPR, HIPAA, and SOX. Experimental evaluations conducted in hybrid cloud environments using tools such as Apache Kafka, Neo4j, Spark, and Python-based ML libraries demonstrate a significant improvement in lineage coverage, anomaly detection accuracy, and system scalability. Compared to conventional lineage tools, our AI-augmented framework delivers a 30% increase in traceability precision and a 40% reduction in manual effort required for lineage tracking and governance. This research lays the foundation for a new paradigm in data governance, where AI not only enhances observability but enables autonomous cognition within data infrastructure. The framework is poised to play a critical role in enabling data democratization, operational agility, and enterprise-wide data literacy. (shrink)

In this paper, I provide a descriptive definition of art that is able to accommodate the existence of bad art, while illuminating the value of good art. This, I argue, is something that existing definitions of art fail to do. I approach this task by providing an account according to which what makes something an artwork is the institutional process by which it is made. I argue that Searle’s account of institutions and institutional facts shows that the existence of all (...) institutions is due to their being perceived by their participants to perform some humanly valuable function. I then identify the functions to which the existence of art institutions is due. I then use these functions to provide a reductive institutional definition of art. Finally, in section seven, I examine the account’s consequences for the value of good art. (shrink)

This study asserts that W.V.O. Quine’s eliminative philosophical gaze into mereological composition affects inevitably his interpretations of composition theories of ontology. To investigate Quine’s property monism from the account of modal eliminativism, I applied to his solution for the paradoxes of de re modalities’ . Because of its vital role to figure out how dispositions are encountered by Quine, it was significantly noted that the realm of de re modalities doesn’t include contingent and impossible inferences about things. Therefore, for him, (...) all the intrinsic forces and elements of entities such as powers and causal or teleological dispositions for ontology demand to be seen necessarily as bound variables from a monist perspective. Although his denial of analyticity and the elimination of dispositional field of ontology, S. Mumford criticizes the monist perspective of Quine’s paradoxical approach to superveniences. Because superveniences create problems while determining type-type identities from a monist mereological perspective. It is observed that Quine faces with a reduction again in terms of his dispositional monism despite his critiques to repulse vagueness from the ontology in his well-known article Two Dogmas of Empiricism. -/- . (shrink)

Social phenomena—quite like mental states in the philosophy of mind—are often regarded as potential troublemakers from the start, particularly if they are approached with certain explanatory commitments, such as naturalism or social individualism, already in place. In this paper, we argue that such explanatory constraints should be at least initially bracketed if we are to arrive at an adequate non-biased description of social phenomena. Legitimate explanatory projects, or so we maintain, such as those of making the social world fit within (...) the natural world with the help of, e.g., collective intentionality, social individualism, and the like, should neither exclude nor influence the prior description of social phenomena. Just as we need a description of the mental that is not biased, for example, by (anti)physicalist constraints, we need a description of the social that is not biased, for example, by (anti)individualist or (anti)naturalist commitments. Descriptive social ontology, as we shall conceive of it, is not incompatible with the adoption of explanatory frameworks in social ontology; rather, the descriptive task, according to our conception, ought to be recognized as prior to the explanatory project in the order of inquiry. If social phenomena are, for example, to be reduced to nonsocial (e.g., psychological or physical) phenomena, we need first to understand clearly what the social candidates for the reduction in question are. While such descriptive or naive approaches have been influential in general metaphysics (see Fine 2017), they have so far not been prominent in analytic social ontology (though things are different outside of analytic philosophy, see esp. Reinach (1913). In what follows, we shall outline the contours of a descriptive approach by arguing, first, that description and explanation need to be distinguished as two distinct ways of engaging with social phenomena. Secondly, we defend the claim that the descriptive project ought to be regarded as prior to the explanatory project in the order of inquiry. We begin, in Section 2, by considering two different ways of engaging with mental phenomena: a descriptive approach taken by descriptive psychology and an explanatory approach utilized in analytic philosophy of mind. We take these two ways of approaching the study of the mind to be analogous to the distinction we want to draw in social ontology between a descriptive and an explanatory approach to the study of social phenomena. We consider next, in Section 3, how our approach compares to neighboring perspectives that are familiar to us from general metaphysics and philosophy more broadly, such as Aristotle’s emphasis on “saving the appearances”, Strawson’s distinction between descriptive and revisionary metaphysics, as well as Fine’s contrast between na¨ive and foundational metaphysics. In Section 4, we apply the proposed descriptive/explanatory distinction to the domain of social ontology and argue that descriptive social ontology ought to take precedence in the order of inquiry over explanatory social ontology. Finally, in Section 5, we consider and respond to several objections to which our account might seem to be susceptible. (shrink)

Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not be (...) sensitive to parameters that are only indirectly relevant. Effectiveness always should be measured and reported in absolute terms (using measures such as 'absolute risk reduction'), and only sometimes should effectiveness also be measured and reported in relative terms (using measures such as 'relative risk reduction')-employment of relative measures promotes an informal fallacy akin to the base-rate fallacy, which can be exploited to exaggerate claims of effectiveness. Finally, extrapolating from research settings to clinical settings should more rigorously take into account possible ways in which the intervention in question can fail to be effective in a target population. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

John Rawls’s writings on just war, though limited, shed important light on the ethics of political violence. This chapter explores Rawls’s contribution to just war theory, paying particular attention to how he differs from his contemporary, Michael Walzer, as well as from future methodological sympathizers, the “revisionists,” who also turn to analytical philosophy to draw insights about just war. In contrast to the “revisionists,” however, Rawls does not take the reductive individualist turn. Rather, he extends the original position that defines (...) the domestic setting to peoples inhabiting the international level. This assumption sets the stage for his theorizing about just war, which tracks closely with Kant (on democratic peace theory) and Walzer (on supreme emergency), while offering insights into just war against “outlaw” states, individual conscientious objection in response to unjust wars, and the role that just war tenets might play in setting the stage for peace. Ultimately, Rawls’s thinking about the place of political collectives in the international domain offers insights for better navigating the methodological disagreements between traditional and revisionist views of just war from a largely untapped but analytically rigorous, perspective. (shrink)

On one way of talking about a traditional metaethical topic, realists accept that some items appear on the list of what exists in the moral or more broadly normative domain of inquiry. They then divide over whether those items are like what science and experience suggest that all other items on the list of what exists across all domains are like – naturalistic and secular. Reductive naturalists answer this further question affirmatively. Why don’t nonnaturalists? I explore the answer that it’s (...) because normative entities are “just too different” in the sense that they are countably different things. However, I argue that this answer rests on the subtle presupposition that the normative domain doesn’t also contain uncountable entities of the sort that analytic metaphysicians call “stuff”. Taking intuitions of difference seriously points the way to a novel form of metaethical reductive naturalism. The key is to identify the stuff that matters. (shrink)

Part of the Elements Philosophy of Religion series, this short book focuses on the spiritual dimensions of life’s meaning as they have been discussed in the recent English and mainly analytic philosophical literature. The overarching philosophical question that this literature has addressed is about the extent to which, and respects in which, spiritual realities such as God or a soul would confer meaning on our lives. There have been four broad answers to the question, namely: God or a soul (...) is necessary for meaning in our lives; they are not necessary for it; one or both would enhance the meaning in our lives; and they would detract from it. These views have been largely advanced in chronological order through the history of Western philosophy, with the view that life would be meaningless without God and a soul having been most prominent in the medieval period, the rejection of this claim having arisen in the modern era, and then sophisticated positions about enhancement or reduction having appeared in earnest only in the past 20 years. This book addresses all four positions, paying particular attention to the more recent views. Beyond familiarizing readers with these positions, it presents prima facie objections to them, points out gaps in research agendas, and suggests argumentative strategies that merit development. (shrink)

This research paper presents an in-depth analysis of advanced artificial intelligence (AI) algorithms designed to automate data preprocessing in the healthcare sector. The automation of data preprocessing is crucial due to the overwhelming volume, diversity, and complexity of healthcare data, which includes medical records, diagnostic imaging, sensor data from medical devices, genomic data, and other heterogeneous sources. These datasets often exhibit various inconsistencies such as missing values, noise, outliers, and redundant or irrelevant information that necessitate extensive preprocessing before being analyzed (...) by machine learning or statistical models. Traditional data preprocessing methods, which are largely manual and time-consuming, can result in errors that affect the quality of the data and, subsequently, the performance of predictive and diagnostic models. Thus, there is a growing need for intelligent, automated systems that can enhance data quality, streamline the preprocessing pipeline, and reduce the time and effort required by healthcare professionals and data scientists. The study begins by outlining the specific challenges associated with healthcare data, including its high dimensionality, incompleteness, and variability across different data sources and formats. These issues not only complicate the preprocessing stage but also hinder the ability to develop robust models capable of making accurate predictions or diagnoses. The paper then explores how AI algorithms—particularly those based on machine learning (ML), deep learning (DL), and reinforcement learning (RL)—can automate key data preprocessing tasks such as data cleaning, feature selection, normalization, and transformation. These algorithms are designed to identify patterns in data, detect anomalies, and automatically apply corrections or transformations based on predefined rules or learned behaviors, thereby minimizing human intervention. The paper also delves into specific AI techniques that have been successfully applied to healthcare data preprocessing. For instance, supervised learning models, such as decision trees and support vector machines (SVMs), have been utilized to perform imputation of missing data by predicting the most likely values based on the available information. Similarly, unsupervised learning methods, such as clustering algorithms, have been employed to group similar data points and remove outliers that could distort the performance of analytical models. Moreover, deep learning techniques, particularly autoencoders and generative adversarial networks (GANs), have demonstrated remarkable effectiveness in transforming high-dimensional medical data into lower-dimensional representations, enabling more efficient and accurate model training. In addition to the discussion of these algorithms, the paper emphasizes the role of natural language processing (NLP) in automating the preprocessing of unstructured healthcare data, such as clinical notes and diagnostic reports. NLP techniques, including named entity recognition (NER) and word embeddings, are instrumental in extracting relevant information from unstructured text, standardizing terminologies, and converting textual data into structured formats suitable for downstream analysis. Furthermore, AI-based feature selection algorithms are explored, which aim to identify the most relevant features in the dataset, thereby reducing its dimensionality and improving the computational efficiency of predictive models. The study goes on to highlight the significant reduction in processing time achieved by AIdriven automation of preprocessing tasks. In conventional settings, data preprocessing accounts for a substantial portion of the time spent on building healthcare models, often requiring expert intervention to manually inspect and clean the data. By employing AI algorithms, not only can this process be expedited, but the accuracy of the resulting data is also enhanced, which translates into better model performance. The paper provides a detailed comparative analysis of manual preprocessing methods versus automated AI-driven approaches, demonstrating the substantial time savings and improvements in data quality brought about by automation. (shrink)

In this paper, Isuggest that placebo effects, as we know them today, should be understood as experimental phenomena, low-level regularities whose causal structure is grasped through particular experimental designs with little theoretical guidance. Focusing on placebo interventions with needles for pain reduction -one of the few placebo regularities that seems to arise in meta-analytical studies- I discuss the extent to which it is possible to decompose the different factors at play through more fine-grained randomized clinical trials. My sceptical argument (...) is twofold. On the one hand, I argue that experiments alone are not enough to standardize interventions, and that it is necessary to include theories. On the other hand, I argue that the social interactions that seem to be part of placebo effects are difficult, if not impossible, to blind. Therefore, the measurement biases arising from the participants’ reactivity to the experimental setup cannot be controlled for. Further decomposition of placebo effects requires a theoretical account of the existing experimental regularities that may guide further tests. (shrink)

Phishing, a prevalent form of social engineering attack, continues to threaten enterprises by exploiting human vulnerabilities and targeting sensitive information. With the increasing sophistication of phishing schemes, traditional detection methods often fall short in identifying and mitigating these threats. As attackers employ advanced techniques, such as highly personalized spear-phishing emails and malicious links, enterprises require innovative solutions to safeguard their digital ecosystems. This research explores the application of artificial intelligence (AI) in enhancing phishing detection and response, with a specific focus (...) on addressing advanced social engineering tactics. AIpowered phishing detection systems utilize machine learning (ML) and natural language processing (NLP) to analyze communication patterns, detect anomalies, and identify deceptive content in real-time. Unlike conventional rule-based systems, AI approaches adapt dynamically to evolving attack vectors, offering a robust defense against both known and emerging threats. These systems can scrutinize email headers, content, URLs, and attachments to uncover subtle indicators of malicious intent. By leveraging historical datasets and predictive analytics, AI models identify patterns associated with phishing, such as unusual sender behavior, suspicious linguistic cues, and mismatched domain information. This study examines the critical components of AI-driven phishing detection, including feature extraction, algorithm selection, and system deployment within enterprise environments. It highlights the role of NLP in understanding the contextual and linguistic subtleties of phishing messages and how advanced ML models, such as decision trees, support vector machines, and deep neural networks, enhance detection accuracy. -/- Additionally, the research delves into the challenges of implementing AI in phishing detection, such as ensuring data privacy, mitigating adversarial attacks on AI models, and fostering trust through explainable AI. Real-world case studies are analyzed to demonstrate the practical effectiveness of AI-powered phishing detection systems. These examples showcase significant reductions in phishing incidents, improved detection times, and the ability to thwart highly targeted attacks, such as business email compromise (BEC) schemes. The study also emphasizes the importance of integrating AI solutions with existing cybersecurity frameworks and highlights the role of human oversight in complementing AI capabilities. While AI offers promising advancements, its success depends on robust training datasets, continuous model optimization, and alignment with enterprise security goals. The paper concludes by presenting best practices for deploying AI-based phishing detection, including regular model updates, employee awareness programs, and multi-layered security strategies. By leveraging AI, enterprises can proactively defend against advanced social engineering attacks, safeguarding their systems, data, and stakeholders from evolving cyber threats. This research contributes to the growing field of AI applications in cybersecurity, offering actionable insights for organizations seeking to enhance their resilience against sophisticated phishing campaigns. (shrink)

Wittgenstein’s and Heidegger’s objections against the possibility of a science of aesthetics were influential on different sides of the analytic/continental divide. Heidegger’s anti-scientism leads him to an alētheic view of artworks which precedes and exceeds any possible aesthetic reduction. Wittgenstein also rejects the relevance of causal explanations, psychological or physiological, to aesthetic questions. The main aim of this paper is to compare Heidegger with Wittgenstein, showing that: there are significant parallels to be drawn between Wittgenstein’s and Heidegger’s anti-scientism (...) about aesthetics, and that their anti-scientism leads both towards partly divergent criticisms of what I will call ‘aestheticism’. The divergence is mainly due to a broader metaphilosophical disagreement concerning appeals to ordinary language. Thus situating the two philosophers’ positions facilitates a possible critical dialogue between analytic and continental approaches in aesthetics. (shrink)

Compare two conceptions of validity: under an example of a modal conception, an argument is valid just in case it is impossible for the premises to be true and the conclusion false; under an example of a topic-neutral conception, an argument is valid just in case there are no arguments of the same logical form with true premises and a false conclusion. This taxonomy of positions suggests a project in the philosophy of logic: the reductive analysis of the modal conception (...) of logical consequence to the topic-neutral conception. Such a project would dispel the alleged obscurity of the notion of necessity employed in the modal conception in favour of the clarity of an account of logical consequence given in terms of tractable notions of logical form, universal generalization and truth simpliciter. In a series of publications, John Etchemendy has characterized the model-theoretic definition of logical consequence as truth preservation in all models as intended to provide just such an analysis. In this paper, I will argue that Aristotle intends to provide an account of a modal conception of logical consequence in topic-neutral terms and so is engaged in a project comparable to the one described above. That Aristotle would be engaged in this sort of project is controversial. Under the standard reading of the Prior Analytics, Aristotle does not and cannot provide an account of logical consequence. Rather, he must take the validity of the first figure syllogisms (such as the syllogism known by its medieval mnemonic ‘Barbara’: A belongs to all B; B belongs to all C; so A belongs to all C) as obvious and not needing justification; he then establishes the validity of the other syllogisms by showing that they stand in a suitable relation to the first figure syllogisms. I will argue that Aristotle does attempt to provide an account of logical consequence—namely, by appeal to certain mereological theorems. For example, he defends the status of Barbara as a syllogism by appeal to the transitivity of mereological containment. There are, as I will discuss, reasons to doubt the success of this account. But the attempt is not implausible given certain theses Aristotle holds in semantics, mereology and the theory of relations. (shrink)

ABSTRACT The individual-community relationship has always been one of the most fundamental topics of social sciences. In sociology, this is known as the micro-macro relationship while in economics it refers to the processes, through which, individual actions lead to macroeconomic phenomena. Based on philosophical discourse and systems theory, many sociologists even use the term "emergence" in their understanding of micro-macro relationship, which refers to collective phenomena that are created by the cooperation of individuals, but cannot be reduced to individual actions. (...) "Emergence" theories attempt to explain the nature of society as a complex system by examining how individuals and their relationships lead to the creation of integrated and macro-social phenomena such as markets, educational systems, cultural beliefs, and shared social practices. As a prelude to activity, every researcher has to answer the question from the methodological point of view, how is it possible to study the behavior of social groups and how can we gain knowledge about the laws related to social groups? Anyone who deals with humanities and social sciences or any reality and phenomenon that affects human beings, inevitably deals with the reality that is emerging. In fact, emergence occurs when one level of reality emerges radically from another level. Examples of emergent levels of reality include how the mind emerges from the body; or the way society emerges from human beings. Therefore, when there is an emerging factor, different scientific disciplines should be used, because it is inevitable to talk about social affairs, psychology and neurobiology, as well as physical and even chemical. -/- INTRODUCTION Since its beginning in the 19th century, sociology has faced the fundamental question of what a social phenomena stands for? At a glance, sociologists deal with the study of social groups, collective behavior, institutions, social structures, social networks, and social dynamics, and ultimately all such phenomena are composed of individuals. Therefore, social phenomena seem to have no independent ontological status, and in this case, sociology is ultimately about reducible individuals. Different approaches about the micro-macro relationship, using the concept of "emergence", argue that although collective phenomena are created by individuals, they cannot be reduced to individual action. The term "emergence" is used to distinguish "emergent results" from " Procedural results". Results are called Procedural that can only be calculated by adding or subtracting the causes that act together. On the contrary, they are emergent outcomes that are qualitatively novel compared to the causes from which they originate. An example of such emergent results is mental characteristics that emerge from neural processes, but are not considered among the characteristics of neural processes of components - which are their origin. Philosophical debates about emergentism and reductionism focus on the mind-brain relationship, but as many philosophers have noted, they can be generalized to apply to any hierarchical set of features. The cognitive revolution reactivated a 19th century controversy between theorists of Identity and dualism. The theorists of Identity believe in reductionist materialism and elimination of metaphysics, according to which the mind is nothing more than the biological, while the dualists believe that the mind and the brain are distinct from each other. Emergence has been considered as a third way between the theories of Identity and dualism. -/- METHODOLOGY Interdisciplinarity Is fundamentally indicated by the dominance of open systems as well as social and emerging systems at different levels. Therefore, as long as we are facing a new emergentism, there will necessarily be different fields and an interdisciplinary method. The commonality of social sciences and cognitive sciences on the issue of emergence provides the possibility of interaction and exchange of concepts between these two for deeper research. Therefore, in this research, apart from the concepts of Subvenience and downward causation, we have used multiple realization and wildly disjunctive, which are used to explain the emerging concept in cognitive sciences, including neurobiology, psychology, and philosophy. For analytical and interdisciplinary approaches, after examining the concepts of subvenience, and wildly disjunctive, Individualistic and collectivist emergentism have been reviewed. And then their adequacy is criticized and evaluated in meeting strong emergence conditions. -/- FINDINGS Philosophers of the mind have been able to define the conditions of irreducibility and downward causation, which are essential for strong emergence, by using the principle of subvenience with the help of multiple realization and wildly disjunctive principles. Therefore, by definition, emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and emergentist collectivism faces the challenge of reification. The analysis of the challenges facing the two methodological approaches of individualism and collectivism leads us to three unresolved issues about the emerging phenomenon, which are realism, downward causality, and mechanism. Despite the differences in the stances of these two approaches regarding the aforementioned triple problems, individualists and collectivists both agree that some social characteristics are reducible; and some others are irreducible due to their complexity, the determination of which, depends on the case study of the mechanism of emergence of each social characteristic. -/- CONCLUSION An emergence that is consistent with reductionism is called a weak emergence. And strong emergence includes the principle of irreducibility and downward causality. According to strong emergence, the characteristics of social phenomena have downward causal power, which cannot be reduced to the causal forces. The principle of subvenience, together with multiple realization and wildly disjunctive, can provide the conditions of irreducibility and downward causality, which are essential conditions of strong emergence. Based on the philosophical analysis of two methodological approaches, individualist and collectivist, it can be concluded that emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and reification collectivism faces the challenge of reification. The analysis of the problems faced by these two approaches leads us to three unresolved issues, which are realism, downward causality, and mechanism. individualist emergentists acknowledge the existence of emergent social characteristics, but despite this, they believe that these characteristics are not real but merely analytical constructs that require explanation based on individuals and their mutual actions. But collectivists argue that emergentism yields a categorical ontology and supports social realism. They accept the dependence of social characteristics on individuals, but claim that social entities and structures are ontologically independent. Individualists and collectivists both agree that some social characteristics are reducible; and others are irreducible due to their complexity; and the only way to recognize this is to engage in empirical studies of the mechanisms and temporal processes of "emergence" that create social characteristics. -/- NOVELTY The newness of this compact article is as follows: a) Presenting an interdisciplinary approach using the analysis of philosophy of cognitive sciences, including the philosophy of mind, neurobiology and psychology to formulate the issue of social emergence; b) Criticizing individualist and collectivist methodological approaches to the issue of social emergence and explaining the sufficiency and shortcomings of both in providing weak and strong emerging conditions; c) Explaining and categorizing the challenges facing methodological approaches in explaining the phenomenon of social emergence, in three categories: realism, downward causality, and mechanism. BIBLIOGRAPHY Beckermann, A., Flohr, H., & Kim, J. (eds.) (1992). Emergence or reduction? Essays on the prospects of nonreductive physicalism. Berlin: Walter de Gruyter. Bhaskar, R. (1979). The possibility of Naturalism. New York: Routledge. Bhaskar, R., Danermark, B. & Price, L. (2018). Interdisciplinarity and wellbeing: A critical realist general theory of interdisciplinarity. London and New York: Routledge. Blau, P.M. (1981). Introduction: diverse views of social structure and their common denominator. In Blau, P.M. & Merton, R.K. (eds.), Continuity in Structural Inquiry (pp. 1–23). Beverly Hills: Sage. Blau, P.M. (1987). Microprocess and macrostructure. In K.S. Cook (ed.), Social Exchange Theory (pp. 83–100). Newbury Park, CA: Sage. Brooks, R.A., & Maes, P. (eds). (1994). Artificial life IV; proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems. Cambridge, Mass: MIT Press. Clark, A. (1997). Being there: Putting brain, body, and world together again. Cambridge, Mass.: MIT Press. Coleman, J. S. (1987). Microfoundations and macrosocial behavior. In: J. C. Alexander, B. Giesen, R. Munch, & Neil J. Smelser (Eds.). The Micro-Macro Link (pp. 153–73). Berkeley: University of California. Coleman, J. S. (1990). Foundations of social theory. Cambridge, MA: Harvard University Press. Elster, J. (1985). Making sense of Marx. New York: Cambridge University Press. Fodor, J.A. (1974). Special sciences (Or: The disunity of science as a working hypothesis). Synthese, 28(2), 97–115. Fodor, J.A. (1989). Making mind matter more. Philosophical Topics, 17, 59-79. Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. Berkeley: University of California Press. Hempel, C.G. (1965). Aspects of scientific explanation and other essays in the philosophy of science. New York: The Free Press. Horgan, T. (1993). From supervenience to superdupervenience: meeting the demands of a material world. Mind, 102, 555-586. Humphreys, P. (1997). How properties emerge”. Philosophy of Science, 64, 1-17. Kim, J. (1999). Making sense of emergence. Philosophical Studies, 95, 3–36. Kincaid, H. (1997). Individualism and the unity of science. New York: Rowman & Littlefield. Lewis, D.K. (1986). The plurality of worlds. Oxford: Oxford University Press. Nigel, G., & Conte, R. (eds.) (1995). Artificial societies; The computer simulation of social life. London: UCL Press. O’Connor, T. (1994). Emergent properties. American Philosophical Quarterly, 31, 91-104. Popper, K.R. (1968). Conjectures and refutations: The Growth of Scientific Knowledge. New York: Harper & Row. Sawyer, R. K. (2001). Emergence in sociology: contemporary philosophy of mind and some implications for sociological theory. American Journal of Sociology, 107, 551-585. Sawyer, R. K. (2004). The mechanisms of emergence. Philosophy of the Social Sciences, 34, 260–282. Sawyer, R. K. (2005). Social emergence: societies as complex systems. Cambridge: Cambridge University Press. Sawyer, R.K. (2003). Nonreductive individualism: Part 2, Social causation. Philosophy of the Social Sciences, 33, 203–224. Winch, P. (1993). The idea of a social science and its relation to philosophy‭ (SAMT, Trans.). Tehran, Iran: SAMT. (shrink)

Since the publication of Hartry Field’s influential paper “Tarski’s Theory of Truth” there has been an ongoing discussion about the philosophical import of Tarski’s definition. Most of the arguments have aimed to play down that import, starting with that of Field himself. He interpreted Tarski as trying to provide a physicalistic reduction of semantic concepts like truth, and concluded that Tarski had partially failed. Robert Stalnaker and Scott Soames claimed then that Field should have obtained a stronger conclusion, namely (...) that Tarski’s failure in his allegedly intended physicalistic reduction was total. From another front, Hilary Putnam argued for an even more sweeping thesis: “[a]s a philosophical account of truth, Tarski’s theory fails as badly as it is possible for an account to fail.” Scott Soames followed suit also on this count, endorsing Putnam’s argument in section iii of the aforementioned paper; and John Etchemendy used a very similar argument to contend that “a Tarskian definition of truth [...] cannot possibly illuminate the semantic properties of the object language.” The paper argues that these contentions are based on several misunderstandings about the nature of a definition like Tarski’s. Regarding the Putnam-Soames-Etchemendy argument, we must apply a distinction Frege found natural to draw—and is natural to draw anyway—between what he called “constructive” definitions, definitions properly so called, which are mere stipulations, and what he described as “analytic” definitions, definitions which aim to make explicit the meaning of a term already in use. Regarding the Field-Soames-Stalnaker criticism, the paper contends that the true aims of a Tarskian truth definition are perfectly well fulfilled without Field’s amendments. (shrink)

mark schroeder University of Southern California 1 When Samuel Clarke gave his second Boyle lectures in 1705, he alleged in favor of his nonreductive, rationalist, intuitionist view that only ‘the extremest stupidity of mind, corruption of manners, or perverseness of spirit, can possibly make any man entertain the least doubt’ concerning it.1 Michael Huemer’s Ethical Intuitionism is offered in the same spirit, though he makes no assurances concerning the Truth and Certainty of the Christian Revelation.2 Not only are competing metaethical (...) views false, he alleges, those who accept them do not even do so on the basis of rational arguments (240). They are driven by bias (247), cynicism (242), and scientism (244), combined with a desire to be politically correct (albeit not in a ‘simplistic way’ (245)). Moreover, the persistence of non-intuitionist metaethical views, he suggests, has a pernicious effect on our society, encouraging vice and immorality (248). According to Huemer, what is important about intuitionism (his favored position) is that the dispute between intuitionism and ‘all other views’ is that ‘[a]nti-realist theories about value undermine our moral beliefs, our moral motivation, and even our sense of the meaning of life’ (248). He contends that ‘anti-realism really boils down to the view that nothing matters’ (249), despite explicitly acknowledging that most anti-realists would deny this, and apparently forgetting that among his targets of criticism in the book were supposed to be some realist views, as well—of the reductive variety. Although he calls his view ‘intuitionism,’ Huemer makes clear early on that what he wants to defend is not an epistemological view at all, but a metaphysical one. The main divide between metaethical views, in.. (shrink)

Most of the existing studies on Bourdieu and the digital regards the social and class distinctions in the use of digital technologies, thus presupposing a certain transparency of technologies themselves. Our proposal is to refer to this attitude as “Bourdieu outside the digital.” Yet in this paper, another perspective called “Bourdieu inside the digital” is developed, which moves the focus on the effects of some emerging technologies on social distinctions and discrimination. The main hypothesis is that algorithms of machine learning (...) are producers and reproducers of habitus. Although their results present a greater granularity with respect to the standard techniques of the past, these algorithms still reduce individuals to categories, general trends, classes, and behaviors. Such a reduction has flattening effects on the individuals’ self-understanding, especially in terms of identity and interaction with the social world. This is the phenomenon described in the article as the “personalization without personality,” whose consequences are both existential and social-political. This idea will be illustrated through qualitative and comparative analysis between the correspondence analysis and the multiple correspondence analysis used by Bourdieu in his works and some of those techniques that are performed today in big data analytics. (shrink)

This study presented the policy of functional integration of the product planning team as a strategy for the development of the pharmaceutical industry in Palestine. The study population consists of all the workers in companies operating in the field of medicine in Palestine, which are (5) companies producing in the West Bank only for pharmaceuticals used by these companies, which are (296) employees, and was used a simple random sample to choose the sample and size (87) employees of the study (...) population, and to achieve the objectives of the study (87) questionnaires were distributed. The descriptive analytical method was used, and SPSS was used to answer and discuss the study's questions. The results showed that there is a significant relationship between the effectiveness of the policy of product development and the competitiveness of pharmaceutical companies in Palestine (West Bank), where the policy of product development efficiency accounts for 56.6% of the total change in the competitiveness of companies. The product quality component was most influential at all levels of product development effectiveness policy, followed by product identification, product cost reduction, packaging and product deletion. The weakest areas of strategic direction in pharmaceutical companies in Palestine (West Bank) are 67%. The weakest aspects of job integration are: non-regular meetings of representatives of different positions to participate in any project related to product development, to achieve spatial convergence of members of the product planning policy team in offices, laboratories and workplaces. (shrink)

Wittgenstein and Heidegger’s objections against the possibility of an aesthetic science were influential on different sides of the analytic/continental divide. Heidegger’s anti-scientism is tied up with a critique of the reduction of the work of art to an object of aesthetic experience. This leads him to an aletheic view of artworks which precedes and exceeds any possible aesthetic reduction. Wittgenstein too rejects the relevance of causal explanations, psychological or physiological, to aesthetic questions. His appeal to ordinary language (...) provides the backdrop for his critique of the philosophical tradition’s focus on a narrow range of evaluative aesthetic terms, thus excluding most of the language we ordinarily employ in the relevant cases. The main aim of this paper is to compare Heidegger with Wittgenstein, showing that: (a) there are significant parallels to be drawn between Wittgenstein and Heidegger’s anti-scientism about aesthetics, and (b) their anti-scientism leads them towards partly divergent criticisms of what I will call ‘aestheticism’. The divergence is mainly due to a disagreement concerning appeals to ordinary language. Thus situating the two philosophers’ positions facilitates a possible critical dialogue between analytic and continental approaches in aesthetics. (shrink)

As the world grapples with the urgent need for sustainable development, the transition towards green energy stands as a critical imperative. Financing this transition poses significant challenges, requiring innovative approaches that align financial objectives with environmental sustainability goals. This review presents a conceptual framework for leveraging data-driven techniques in sustainable finance to facilitate the transition towards green energy. The proposed framework integrates principles of sustainable finance with advanced data analytics to enhance decision-making processes across the financial ecosystem. At its core, (...) the framework emphasizes the importance of harnessing vast datasets related to energy production, consumption, environmental impact, and financial performance. By leveraging machine learning algorithms and predictive modeling techniques, financial stakeholders can gain deeper insights into the risks and opportunities associated with green energy investments. Key components of the framework include data collection and aggregation, risk assessment, impact measurement, and investment optimization. Data sources range from traditional financial indicators to environmental metrics, social impact assessments, and geopolitical factors. Through comprehensive data analysis, financial institutions can assess the long-term viability and sustainability of green energy projects, while also evaluating potential social and environmental impacts. Risk assessment methodologies within the framework consider both financial risks, such as market volatility and regulatory uncertainty, and non-financial risks, such as climate change impacts and community resilience. By integrating these factors into risk models, investors can make more informed decisions that mitigate potential losses and maximize returns. Furthermore, impact measurement tools enable stakeholders to quantify the environmental and social benefits of green energy investments. By tracking metrics such as carbon emissions reduction, energy efficiency improvements, and job creation, investors can assess the contribution of their portfolios towards broader sustainability objectives. Finally, the framework incorporates investment optimization strategies that align financial goals with environmental objectives. Through portfolio diversification, asset allocation, and innovative financial instruments such as green bonds and impact investing funds, financial institutions can allocate capital more efficiently towards green energy projects. The conceptual framework presented herein offers a systematic approach to integrating data-driven methodologies into sustainable finance practices. By leveraging advanced analytics and comprehensive datasets, financial stakeholders can drive the transition towards green energy while simultaneously achieving financial returns and positive environmental outcomes. (shrink)