Although recent work has been done on the Barnes Foundation and its philosophical and pedagogical background, almost all the research effort has been focused on the friendship and intellectual link between John Dewey and Albert C. Barnes. Unfortunately, to the best of our knowledge, the impact of George Santayana’s philosophy on the Foundation has not been systematically examined. The hypothesis that we present and develop in this article is that Santayana’s thought is essential for the aesthetic theories elaborated within the (...) framework of the Barnes Foundation: Barnes’ theory of art criticism; Dewey’s aesthetic theory, and even Lawerence Buermeyer’s aesthetic theory. This article is a first approximation with the purpose of clarifying these philosophical, theoretical and historical relationship so as to start to fill the existing gap in contemporary literature on the topic. (shrink)

Este Dossier está compuesto por dos textos: la traducción de la reseña que Dewey escribe en 1926 sobre el libro de Albert C. Barnes (1925) The Art in Painting, titulada “Art in Education – Education in Art”, en primer lugar; un artículo que escribimos (Educación y Arte. Acerca de John Dewey) que toma parte de la temática planteada en la reseña interpretándola a la luz de la filosofía del ilustre pragmatista clásico, en segundo lugar.

Los propósitos de este artículo son dos: en primer lugar, presentar los rasgos característicos tanto de la filosofía de la educación como de la estética de Dewey y su íntima vinculación; en segundo lugar, señalar la relevancia que la influencia de Albert C. Barnes tiene para el desarrollo de las concepciones de arte y de educación del autor de Art as Experience. Para mostrar la influencia de Barnes en Dewey, tópico pasado por alto por la literatura secundaria o solo tratado (...) superficialmente, utilizamos diversos elementos, especialmente la reseña que Dewey escribe sobre el libro de Barnes, The Art in Painting (1925), titulada “Art in Education - Education in Art” (1926) y que traducimos en este número de la revista. (shrink)

We present a preliminary high-level formal theory, grounded on knowledge representation techniques and foundational ontologies, for the uniform and integrated representation of the different kinds of (quali- tative and quantitative) knowledge involved in the designing process. We discuss the conceptual nature of engineering design by individuating and analyzing the involved notions. These notions are then formally charac- terized by extending the DOLCE foundational ontology. Our ultimate purpose is twofold: (i) to contribute to foundational issues of design; and (ii) to support (...) the development of advanced modelling systems for (qualitative and quantitative) representation of design knowledge. (shrink)

Product structures are represented in engineering models by depicting and linking components, features and assemblies. Their understanding requires knowledge of both design and manufacturing practices, and yet further contextual reasoning is needed to read them correctly. Since these representations are essen- tial to the engineering activities, the lack of a clear and explicit semantics of these models hampers the use of information systems for their assessment and exploita- tion. We study this problem by identifying different interpretations of structure rep- resentations, (...) and then discuss the formal properties that a suitable language needs for representing components, features and combinations of these. We show that the representation of components and features require a non-standard mereology. (shrink)

dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, (...) and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources (e.g. CIDOC CRM, DBpedia and WordNet). Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases. (shrink)

Background: Despite being often taken as the benchmark of quality for diagnostic and classificatory tools, 'validity' is admitted as a poorly worked out notion in psychiatric nosology. Objective: Here we aim at presenting a view that we believe to do better justice to the significance of the notion of validity, as well as at explaining away some misconceptions and inappropriate expectations regarding this attribute in the aforementioned context. Method: The notion of validity is addressed taking into account its role, the (...) framework according to which it should be assessed and the specific contents to which it refers within psychiatric nosology. Results and Conclusions: The notion of validity has an epistemological thrust and its foremost role is distinguishing correct reasoning and truth from what is irrational or false. From it follows not only that 'validity' always refers to elements of knowledge and rationality such as arguments, inferences and propositions, but also that the appropriate frameworks to assess 'validity' are logics and scientific methodology. When the validity of a psychiatric diagnostic category is at stake, the contents to which it refers are those relevantly related to the notion of 'diagnostic concept'. The consequences of our reading on the notion of 'validity' are discussed vis-à-vis the challenges faced by psychiatric nosology in order to have its diagnostic categories validated. (shrink)

In this article, we address fallacious analogical reasoning and the Metaphoric Fallacy to a Deductive Inference (MFDI), recently discussed by B. Lightbody and M. Berman (2010). We claim that the authors’ proposal to introduce a new fallacy is only partly justified. We also argue that, in some relevant cases, fallacious analogical reasoning involving metaphors is only affected by the use of quaternio terminorum.

What we call today negative symptoms are thought to descend from the very deficits that the earliest scholars of schizophrenia (such as Kraepelin and Bleuler) considered to be the key, fundamental symptoms of the disorder. In the latter half of the 20th century, delusions and hallucinations received greater prominence, which eventually changed both the concept of schizophrenia and its diagnostic criteria by placing positive symptoms at the forefront. The first decade of the 21st century witnessed a resurgence of interest in (...) negative symptoms of schizophrenia. Persistent and clinically significant negative symptoms were declared an unmet therapeutic need in a large proportion of cases by several schizophrenia experts, who, with the support of the NIMH, held a consensus development conference in 2005 to discuss negative symptoms and how to proceed in this area. The Consensus Statement read that improved recognition and awareness of negative symptoms are the fi rst step to improving function in patients with negative symptoms of schizophrenia. According to the principles of Values-Based Practice that also means improving recognition and awareness of the diverse values involved in the conceptualization and practical assessment of negative symptoms. By analyzing selected conceptual papers on negative symptoms, instruments developed for the assessment of this area of psychopathology, and clinical vignettes, we intend to point out some values-related issues in the diagnosis of negative symptoms as well as to make the case that these symptoms may be a particularly complex aspect of schizophrenia, vis-à- vis understanding the role played by values. (shrink)

Dear Editor, in a previous paper we have tried to delve into what validity means in the context of psychiatric nosology, arguing for a pragmatic view of it. Here we want to briefly reassert the basic points of our analysis, make a few clarifications and address some issues raised by commentators.

Review of Carlo M. Lucarini et Claudio Moreschini, Hermias Alexandrinus, In Platonis Phaedrum scholia, Berlin – Boston: De Gruyter, 2012, lxiv+293 pp., ISBN 978-3-11-020115-4.

Περιεχόμενα ΜΕΡΟΣ Α΄ Πραγματικότητα και δυνητικότητα στο πεδίο του ψηφιακού: Ζητήματα οντολογίας και γνωσιοθεωρίας 1.1 Αλέξανδρος Σχισμένος, Γιάννης Περπερίδης Για τον Luciano Floridi και την «πληροφοριακή σφαίρα» 1.2 Luciano Floridi Αυτοκατανόηση. οι τέσσερις Επαναστάσεις (μετάφραση: Αλέξανδρος Σχισμένος, Γιάννης Περπερίδης) 2.1 Κωνσταντίνος Φιλιππάκης Μια απόπειρα αναθεώρησης του «νεωτερικού συντάγματος» υπό «νεοκυβερνητική» έποψη 2.2 Iain Grant Θεωρίες της κυβερνοκουλτούρας (μετάφραση: Κωνσταντίνος Φιλιππάκης) 3.1 Στέφανος Ρέγκας Characteristica digitalis: ο Pierre Lévy και η τυποποίηση του νοήματος 3.2 Pierre Lévy Η φύση της πληροφορίας (μετάφραση: (...) Στέφανος Ρέγκας) 4.1 Ελένη Σπυράκου Η πληροφορία ως πραγματικότητα: δυνατότητες και όρια μιας διερώτησης 4.2 Albert Borgmann Δυνητικότητα και ασάφεια (μετάφραση: Ελένη Σπυράκου) 5.1 Μαριάνθη-Ελένη Διαμαντοπούλου Κατ’ εικόνα και ομοίωση: μια ανδρική οντολογία του κυβερνοχώρου 5.2 Michael Heim Η ερωτική οντολογία του κυβερνοχώρου (μετάφραση: Μαριάνθη-Ελένη Διαμαντοπούλου) 6.1 Γιώργος Περτσάς Μεταξύ αμφισημίας και παραδοξότητας: για την οντολογία των ψηφιακών τεχνουργημάτων 6.2 Jannis Kallinikos, Aleksi Aaltonen, Attila Marton Η αμφίσημη οντολογία των ψηφιακών τεχνουργημάτων (μετάφραση: Γιώργος Περτσάς) ΜΕΡΟΣ Β΄ Σώματα, ταυτότητες, εμπειρίες στο πεδίο του ψηφιακού: Ζητήματα φιλοσοφικής ανθρωπολογίας 1.1 Ιωάννης-Φίλιππος Φεϊζίδης Don Ihde: ο άνθρωπος ανάμεσα στις μηχανές 1.2 Don Ihde Σώματα, δυνητικά σώματα και τεχνολογία (μετάφραση: Ιωάννης-Φίλιππος Φεϊζίδης) 2.1 Ιωάννης-Φίλιππος Φεϊζίδης Stéphane Vial: προς μία αυτοτελή φιλοσοφία της τεχνολογίας 2.2 Stéphane Vial Βλέπειν και αντιλαμβάνεσθαι στην ψηφιακή εποχή: θεωρία της οντοφάνειας (μετάφραση: Ιωάννης-Φίλιππος Φεϊζίδης) 3.1 Αλέξανδρος Σχισμένος Υποκείμενο και σώμα στην ψηφιακή εποχή 3.2 Katherine N. Hayles Η υλικότητα της πληροφορίας (μετάφραση: Αλέξανδρος Σχισμένος) 4.1 Μαριάνθη-Ελένη Διαμαντοπούλου Μια ευθεία γραμμή προς το μάτριξ, πολλές αλλόκοτες γραμμές προς την ελευθερία 4.2 Sadie Plant Περί Μάτριξ: κυβερνοφεμινιστικές προσομοιώσεις (μετάφραση: Μαριάνθη-Ελένη Διαμαντοπούλου) 5.1 Βιβή Ζάψα Από τον Homo digitalis στον Homo qubitalis: μια σύντομη εισαγωγή 5.2 Rafael Capurro Πέραν της πληροφοριακής σφαίρας (μετάφραση: Βιβή Ζάψα) 6.1 Γιάννης Νίνος Ψηφιακότητα και κρίση παραδειγμάτων 6.2 Μανώλης Πατηνιώτης Προσωπική ταυτότητα και δυνητικότητα: η επανεπινόηση του εαυτού σε ψηφιακά περιβάλλοντα ΜΕΡΟΣ Γ΄ Ατομικές και συλλογικές επιτελέσεις στο πεδίο του ψηφιακού: Ζητήματα πολιτικής φιλοσοφίας και κοινωνικής θεωρίας 1.1 Γιώργος Καφφέζας Langdon Winner: ένας κριτικός προφήτης στις αρχές της ψηφιακής επανάστασης 1.2 Langdon Winner Ο μύθος της πληροφορίας (μετάφραση: Γιώργος Καφφέζας) 2.1 Γιάννης Κτενάς, Γιώργος Περτσάς Βίωμα και δέσμευση στην ψηφιακή εποχή: Ο Hubert Dreyfus συναντά τον Kierkegaard σε μια κριτική του διαδικτύου 2.2 Hubert L. Dreyfus Ο μηδενισμός στη λεωφόρο της πληροφορίας: η ανωνυμία ενάντια στη δέσμευση σήμερα (μετάφραση: Γιάννης Κτενάς) 3.1 Γιάννης Περπερίδης Paidia, Ludus και ψηφιακές τεχνολογίες: η ανατρεπτικότητα του παίζειν και ο εκδημοκρατισμός της τεχνολογίας 3.2 Sara M. Grimes, Andrew Feenberg Εξορθολογίζοντας το παίζειν: μία κριτική θεωρία του ψηφιακού παιχνιδιού (μετάφραση: Γιάννης Περπερίδης) 4.1 Ειρήνη Φωλίνα, Γιάννης Περπερίδης Μετα-φαινομενολογία και ψηφιακές τεχνολογίες: μία απόπειρα εισαγωγής στο έργο του Mark Coeckelbergh 4.2 Mark Coeckelbergh Τεχνολογία, αφήγηση, και επιτέλεση στο κοινωνικό θέατρο: πώς οι ψηφιακές τεχνολογίες γράφουν, σκηνοθετούν, και οργανώνουν τις αφηγηματικές και χρονικές δομές της κοινωνικής μας ύπαρξης (μετάφραση: Ειρήνη Φωλίνα, Γιάννης Περπερίδης) 5.1 Μαρία Μούρτου-Παραδεισοπούλου, Παναγιώτης Διδάχος, Γιάννης Περπερίδης Το πολιτικό πρόταγμα πίσω από τα ψηφιακά κοινά 5.2 Αλέξανδρος Κιουπκιολής Τα ψηφιακά κοινά, το πολιτικό και η κοινωνική αλλαγή: προς μια ολοκληρωμένη στρατηγική αντι-ηγεμονίας που προάγει τα κοινά (μετάφραση: Μαρία Μούρτου-Παραδεισοπούλου, Παναγιώτης Διδάχος) Οι συντελεστές του τόμου Ευρετήριο ονομάτων. (shrink)

How should we choose between uncertain prospects in which different possible people might exist at different levels of wellbeing? Alex Voorhoeve and Marc Fleurbaey offer an egalitarian answer to this question. I give some reasons to reject their answer and then sketch an alternative, which I call person-affecting prioritarianism.

The purpose of this research is to identify the extent of the efficiency of the internal control environment in the Palestinian higher educational institutions in Gaza Strip from the perspective of employees in the Palestinian universities in Gaza Strip, where researchers used in the study five universities. The researchers adopted in their study the descriptive and analytical approach. The research community consists of administrative employees and academic employees with administrative duties. Senior management or the University Council was excluded. The study (...) population compromises of (392) employees. A stratified random sample was chosen and (197) questionnaires were distributed. (160) questionnaires were received back with a return rate of (81.2%).The researchers used a questionnaire to collect that which then was analyzed using (SPSS) to get the results. The research found the following results: the absence of a fundamental difference between the responses of males and females. The lack of significant difference between the responses of the respondents attributed to the variable age. The lack of significant difference between the responses of the respondents attributed to the variable of years of service. And the existence of a fundamental difference between the responses of the respondents attributed to the university variable. The existence of a fundamental difference between the responses of the respondents attributed to the Qualification variable. The existence of a fundamental difference between the responses of the respondents attributed to the administrative level variable. The research found a group of recommendations including: the need to raise awareness of censorship as the basis for the protection of employees in all administrative levels from making mistake.Updating the systems and instructions of control periodically and parallel with the scientific progress and technology.Benefit from regional and international experiences in the application of internal control standards which commensurate with the administrative system of the institution. (shrink)

This discussion treats a set of familiar social derelictions as consequences of the perversion of a universalistic moral theory in the service of an ill-considered or insufficiently examined personal agenda.The set includes racism, sexism, anti-Semitism, homophobia, and class elitism, among other similar pathologies, under the general heading of discrimination. The perversion of moral theory from which these derelictions arise, I argue, involves restricting its scope of application to some preferred subgroup of the moral community of human beings. -/- The following (...) analysis of higher-order discrimination suggests that we often select the individuals who constitute such subgroups for reasons that we ourselves would reject on moral grounds were we to examine them carefully, but that we choose instead to put our rational resources in the service of avoiding any such examination at all costs. The implication is that arguments that truncate the scope of moral theory in fact justify bestowing the gift of moral treatment on a select few who deserve it no more than the many from whom we withhold it. Therefore, it would be precipitous to conclude that universalistic moral theory can be legitimately restricted in its practical scope of application in any way at all. (shrink)

The study aimed to identify the role of administrative procedures and systems in enhancing the performance of the educational institutions in the Islamic University in Gaza. To achieve the research objectives, the researchers used the analytical descriptive approach to collect information. The researchers used the questionnaire distributed to three categories of employees at the Islamic University (senior management, faculty members, their assistants and members of the administrative board). A random sample of 314 employees was selected and 276 questionnaires were retrieved (...) with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter process and analyze data. The results of the research showed a positive role for the administrative procedures and systems in enhancing the performance of the Islamic University from the point of view of the members (senior management, teaching staff and their assistants and the administrative body), where the relative weight of all the paragraphs (73.728%). The analysis of the results revealed that the administrative procedures at the Islamic University in Gaza are used to an acceptable degree. The relative weight of all the paragraphs is 70%. This indicates a relationship between administrative procedures and regulations and the performance of the Islamic University in the Gaza Strip. The study found that there was a good degree of approval from the sample regarding the administrative procedures and their relationship to the job performance. There exist a sufficient degree of powers to the deans and department managers to carry out their tasks, with the use of plans as control tools. And that there are rules and procedures provided for decision-making in the University Council. It also has full powers to manage the university to improve the teaching and learning environment. The researchers also recommended a number of recommendations, including the need to follow up on the procedures and systems of management and update them continuously in the light of changes that may occur and to ensure the existence of a strong system of electronic information systems within the university. There is a need to provide mechanisms for obtaining information about the surrounding external environment, and effective mechanisms to provide managers with the necessary information in a timely manner. The importance of providing channels of communication that enables staff to communicate information about any violations and breaches. The study also recommended the follow-up, review, procedures and administrative systems, and work to modify them in line with the mission of the university and the objectives that the university seeks to reach. (shrink)

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...) and implications). We analyse this architecture through four accountability goals (compliance, report, oversight, and enforcement). We argue that these goals are often complementary and that policy-makers emphasise or prioritise some over others depending on the proactive or reactive use of accountability and the missions of AI governance. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with a framework developed by (...) the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)

The complexity and emergent autonomy of Generative AI systems introduce challenges in predictability and legal compliance. This paper analyses some of the legal and regulatory implications of such challenges in the European Union context, focusing on four areas: liability, privacy, intellectual property, and cybersecurity. It examines the adequacy of the existing and proposed EU legislation, including the Artificial Intelligence Act (AIA), in addressing the challenges posed by Generative AI in general and LLMs in particular. The paper identifies potential gaps and (...) shortcomings in the EU legislative framework and proposes recommendations to ensure the safe and compliant deployment of generative models. (shrink)

My aim in this discussion is to argue, not only that government should provide funding for the arts, but a fortiori that it should provide funding for unconventional, disruptive works of art.

That human beings have the potential for rationality and the ability to cultivate it is a fact of human nature. But to value rationality and its subsidiary character dispositions - impartiality, intellectual discrimination, foresight, deliberation, prudence, self-reflection, self-control - is another matter entirely. -/- I am going to take it as a given that if a person's freedom to act on her impulses and gratify her desires is constrained by the existence of others' equal, or more powerful, conflicting impulses and (...) desires, then she will need the character dispositions of rationality to survive. The more circumscribed one's freedom and power, the more essential to survival and flourishing the character dispositions of rationality and the spirit may become. (shrink)

Indian and Classical Greek philosophical traditions both recommend that we structure our lives around the performance of certain kinds of actions as daily and regular habits. Under some circumstances and for some individuals, this means merely doing what comes naturally. For others, it requires varying degrees of self-control. For yet others, adhering to these practices is impossible or unimportant, beyond the scope of their interests or abilities. I want to take issue with one familiar answer to the question of why (...) this is, and to suggest a different one. (shrink)

The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To address this, (...) we propose applying the risk categories to specific AI scenarios, rather than solely to fields of application, using a risk assessment model that integrates the AIA with the risk approach arising from the Intergovernmental Panel on Climate Change (IPCC) and related literature. This model enables the estimation of the magnitude of AI risk by considering the interaction between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We use large language models (LLMs) as an example. (shrink)

The aim of the research is to identify the relationship between the performance criteria and the achievement of the objectives of supervision which is represented in the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (22) paragraphs distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the (...) administrative board). A random sample of 314 employees was selected, 276 responses were retrieved with a return rate of 88.1%. The SPSS program was used to enter, process, and analyze the data. The results of the study showed a positive relationship between the performance criteria and the achievement of the control objectives represented by the job performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants and the administrative board). The researchers also recommended a number of recommendations, including the provision of an appropriate level of control system components today through the continuous updating and development of performance standards and the need to provide the necessary physical and financial resources to continue the development and achievement within the university. Expand the development of technology in the various activities of the university through the construction of a complete and integrated system to support the control systems in the university to suit its size. The researchers also recommended the follow-up, review of the performance standards and work to modify them in line with the mission of the university and the goals that the university seeks to reach. (shrink)

It is tempting to think that a process of choosing a point at random from the surface of a sphere can be probabilistically symmetric, in the sense that any two regions of the sphere which differ by a rotation are equally likely to include the chosen point. Isaacs, Hájek, and Hawthorne (2022) argue from such symmetry principles and the mathematical paradoxes of measure to the existence of imprecise chances and the rationality of imprecise credences. Williamson (2007) has argued from a (...) related symmetry principle to the failure of probabilistic regularity. We contend that these arguments fail, because they rely on auxiliary assumptions about probability which are inconsistent with symmetry to begin with. We argue, moreover, that symmetry should be rejected in light of this inconsistency, and because it has implausible decision- theoretic implications. -/- The weaker principle of probabilistic invariance says that the probabilistic comparison of any two regions is unchanged by rotations of the sphere. This principle supports a more compelling argument for imprecise probability. We show, however, that invariance is incompatible with mundane judgments about what is probable. Ultimately, we find reason to be suspicious of the application of principles like symmetry and invariance to nonmeasurable regions. (shrink)

Foundational ontologies, central constructs in ontological investigations and engineering alike, are based on ontological categories. Firstly proposed by Aristotle as the very ur- elements from which the whole of reality can be derived, they are not easy to identify, let alone partition and/or hierarchize; in particular, the question of their number poses serious challenges. The late medieval philosopher Dietrich of Freiberg wrote around 1286 a tutorial that can help us today with this exceedingly difficult task. In this paper, I discuss (...) ontological categories and their importance for foundational ontologies from both the contemporary perspective and the original Aristotelian viewpoint, I provide the translation from the Latin into English of Dietrich's De origine II with an introductory elaboration, and I extract a foundational ontology–that is in fact a single-category one–from this text rooted in Dietrich's specification of types of subjecthood and his conception of intentionality as causal operation. (shrink)

Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...) techniques like hyperparameter tuning, cross-validation, and feature selection to improve prediction accuracy. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...) science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (shrink)

Ontologies are some of the most central constructs in today's large plethora of knowledge technologies, namely in the context of the semantic web. As their coinage indicates, they are direct heirs to the ontological investigations in the long Western philosophical tradition, but it is not easy to make bridges between them. Contemporary ontological commitments often take causality as a central aspect for the ur-segregation of entities, especially in scientific upper ontologies; theories of causality and philosophical ontological investigations often go hand-in-hand, (...) and were essentially inseparable in medieval thought. This constitutes the foundation for a bridge, and this article analyzes the causality-based ontology of the late medieval philosopher Dietrich of Freiberg from the viewpoint of today's upper-ontology engineering. In this bridging attempt, it offers a translation into English of the first part of Dietrich's De origine (abbreviated title) that is a compromise between traditional scholarly translations of medieval Latin philosophical texts and contemporary ontology. (shrink)

The problem of evil is broadly considered to be one of the greatest intellectual threats to traditional brands of theism. And William Rowe’s 1979 formulation of the problem in “The Problem of Evil and Some Varieties of Atheism” is the most cited formulation in the contemporary philosophical literature. In this paper, we explore how the tools and resources of experimental philosophy might be brought to bear on Rowe’s seminal formulation, arguing that our empirical findings raise significant questions regarding the ultimate (...) success of Rowe’s argument. Such a result would be quite notable within philosophy of religion, since this is considered one of the most formidable arguments against theism. However, further testing is needed before any firm conclusions can be drawn. -/- In section 1, we elucidate Rowe’s formulation of the problem of evil and the intuitions that seem to underwrite it. In section 2, we explore how the tools and resources of experimental philosophy might be brought to bear on Rowe’s formulation, outlining our hypotheses and our methods for testing them before showcasing our results. In section 3, we discuss the philosophical import of our results–arguing that our results, when taken together, pose an initial challenge to Rowe’s seminal argument. (shrink)

The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. By leveraging (...) advanced optimization techniques such as Grid Search and Particle Swarm Optimization (PSO), the proposed SVM-based IDS achieves superior classification results. (shrink)

The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.

The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.

Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the EU´s new Artificial Intelligence Act (AIA) will be implemented and enforced by various institutional bodies, thus clarifying the governance framework of the AIA. Second, it proposes a normative model of governance, providing recommendations to ensure uniform and coordinated execution of the AIA and the fulfilment of the legislation. Taken together, the article explores how the (...) AIA may be implemented by national and EU institutional bodies, encompassing longstanding bodies, such as the European Commission, and those newly established under the AIA, such as the AI Office. It investigates their roles across supranational and national levels, emphasizing how EU regulations influence institutional structures and operations. These regulations may not only directly dictate the structural design of institutions but also indirectly request administrative capacities needed to enforce the AIA. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...) personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. (shrink)

Many real-world agents recognise that they impose harms by choosing to emit carbon, e.g., by flying. Yet many do so anyway, and then attempt to make things right by offsetting those harms. Such offsetters typically believe that, by offsetting, they change the deontic status of their behaviour, making an otherwise impermissible action permissible. Do they succeed in practice? Some philosophers have argued that they do, since their offsets appear to reverse the adverse effects of their emissions. But we show that (...) they do not. In practice, standard carbon offsetting does not reverse the harms of the original action, nor does it even benefit the same group as was harmed. Standard moral theories hence deny that such offsetting succeeds. Indeed, we show that any moral theory that allows offsetting in this setting faces a dilemma between allowing any wrong to be offset, no matter how grievous, and recognising an implausibly sharp discontinuity between offsettable actions and non-offsettable actions. The most plausible response is to accept that carbon offsetting fails to right our climate wrongs. (shrink)

We have a much better understanding of physics than we do of consciousness. I consider ways in which intrinsically mental aspects of fundamental ontology might induce modifications of the known laws of physics, or whether they could be relevant to accounting for consciousness if no such modifications exist. I suggest that our current knowledge of physics should make us skeptical of hypothetical modifications of the known rules, and that without such modifications it’s hard to imagine how intrinsically mental aspects could (...) play a useful explanatory role. Draft version of a paper submitted to Journal of Consciousness Studies, special issue responding to Philip Goff’s Galileo’s Error: Foundations for a New Science of Consciousness. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Although we may find the concept of anomie in Greek thought, it is since Durkheim that the concept begins to be used specifically as a sociological concept. However, a theory of anomie only becomes consolidated since “Social Structure and Anomie” by Robert K. Merton (Merton 1938). The theory becomes important and conquers its space in the rest of the century as one of the most productive theories about deviance. In this study, based on a contemporary conception of scientific theory, that (...) of the structuralist metatheory, a reconstruction of Merton’s approach is proposed, allowing to make explicit the deep structure of the theory. (shrink)

For millennia, knowledge has eluded a precise definition. The industrialization of knowledge (IoK) and the associated proliferation of the so-called knowledge communities in the last few decades caused this state of affairs to deteriorate, namely by creating a trio composed of data, knowledge, and information (DIK) that is not unlike the aporia of the trinity in philosophy. This calls for a general theory of knowledge (ToK) that can work as a foundation for a science of knowledge (SoK) and additionally distinguishes (...) knowledge from both data and information. In this paper, I attempt to sketch this generality via the establishing of both knowledge structures and knowledge systems that can then be adopted/adapted by the diverse communities for the respective knowledge technologies and practices. This is achieved by means of a formal–indeed, mathematical–approach to epistemological matters a.k.a. formal epistemology. The corresponding application focus is on knowledge systems implementable as computer programs. (shrink)

In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by modern (...) applications. By leveraging algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), the proposed method efficiently distributes data across multiple paths, ensuring balanced network utilization. The combination of these algorithms with multipath routing significantly reduces congestion and improves overall network performance. (shrink)

The article argues that AI can enhance the measurement and implementation of democratic processes within political parties, known as Intra-Party Democracy (IPD). It identifies the limitations of traditional methods for measuring IPD, which often rely on formal parameters, self-reported data, and tools like surveys. Such limitations lead to partial data collection, rare updates, and significant resource demands. To address these issues, the article suggests that specific data management and Machine Learning techniques, such as natural language processing and sentiment analysis, can (...) improve the measurement and practice of IPD. (shrink)

The genetic modification of pigs as a source of transplantable organs is one of several possible solutions to the chronic organ shortage. This paper describes existing ethical tensions in xenotransplantation (XTx) that argue against pursuing it. Recommendations for lifelong infectious disease surveillance and notification of close contacts of recipients are in tension with the rights of human research subjects. Parental/guardian consent for pediatric xenograft recipients is in tension with a child’s right to an open future. Individual consent to transplant is (...) in tension with public health threats that include zoonotic diseases. XTx amplifies concerns about justice in organ transplantation and could exacerbate existing inequities. The prevention of infectious disease in source animals is in tension with the best practices of animal care and animal welfare, requiring isolation, ethologically inappropriate housing, and invasive reproductive procedures that would severely impact the well-being of intelligent social creatures like pigs. (shrink)

A. Newell and H. A. Simon were two of the most influential scientists in the emerging field of artificial intelligence (AI) in the late 1950s through to the early 1990s. This paper reviews their crucial contribution to this field, namely to symbolic AI. This contribution was constituted mostly by their quest for the implementation of general intelligence and (commonsense) knowledge in artificial thinking or reasoning artifacts, a project they shared with many other scientists but that in their case was theoretically (...) based on the idiosyncratic notions of symbol systems and the representational abilities they give rise to, in particular with respect to knowledge. While focusing on the period 1956-1982, this review cites both earlier and later literature and it attempts to make visible their potential relevance to today's greatest unifying AI challenge, to wit, the design of wholly autonomous artificial agents (a.k.a. robots) that are not only rational and ethical, but also self-conscious. (shrink)

3rd ed, 2021. A circumscription of the classical theory of computation building up from the Chomsky hierarchy. With the usual topics in formal language and automata theory.

Not focusing on the history of classical logic, this book provides discussions and quotes central passages on its origins and development, namely from a philosophical perspective. Not being a book in mathematical logic, it takes formal logic from an essentially mathematical perspective. Biased towards a computational approach, with SAT and VAL as its backbone, this is an introduction to logic that covers essential aspects of the three branches of logic, to wit, philosophical, mathematical, and computational.

The concept of bias is pervasive in both popular discourse and empirical theorizing within philosophy, cognitive science, and artificial intelligence. This widespread application threatens to render the concept too heterogeneous and unwieldy for systematic investigation. This article explores recent philosophical literature attempting to identify a single theoretical category—termed ‘bias’—that could be unified across different contexts. To achieve this aim, the article provides a comprehensive review of theories of bias that are significant in the fields of philosophy of mind, cognitive science, (...) machine learning, and epistemology. It focuses on key examples such as perceptual bias, implicit bias, explicit bias, and algorithmic bias, scrutinizing their similarities and differences. Although these explorations may not conclusively establish the existence of a natural theoretical kind, pursuing the possibility offers valuable insights into how bias is conceptualized and deployed across diverse domains, thus deepening our understanding of its complexities across a wide range of cognitive and computational processes. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)