Sam Harris is a contemporary illustration of the difficulties standing in the way of coherent interdisciplinary thinking in an age where science and the humanities have drifted so far apart. We are here with Harris’s views on AI, and specifically with his view according to which, with the advance of AI, there will evolve a machine superintelligence with powers that far exceed those of the human mind. This he sees as something that is not merely possible, but rather a matter (...) of inevitability. If, however, we look carefully at what intelligence is, and at how computers really work on the basis of mathematical models, then we can see that it is forever impossible to emulate inside a computer even the intelligence of crows or rabbits, let alone that of human beings. (shrink)

In his “Bridging mainstream and formal ontology”, Augusto (2021) gives an excellent analysis of Dietrich von Freiberg’s idea of using causality as a partitioning principle for upper ontologies. For this Dietrich’s notion of extrinsic principles is crucial. The question whether causation can and indeed should be used as a partitioning principle for ontologies is discussed using mathematics and physics as examples.

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal (...) evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

This volume deals with the reception of Aristotle's natural philosophy in Oxford between 1250 and 1270.

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

In this article, I argue that gender is a primary cultural frame for coordinating behavior and organizing social relations. I describe the implications for understanding how gender shapes social behavior and organizational structures. By my analysis, gender typically acts as a background identity that biases, in gendered directions, the performance of behaviors undertaken in the name of organizational roles and identities. I develop an account of how the background effects of the gender frame on behavior vary by the context that (...) different organizational and institutional structures set but can also infuse gendered meanings into organizational practices. Next, I apply this account to two empirical illustrations to demonstrate that we cannot understand the shape that the structure of gender inequality and gender difference takes in particular institutional or societal contexts without taking into account the background effects of the gender frame on behavior in these contexts. (shrink)

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

The procedures for structuring clinical ethics case reflections in a childhood cancer care setting are presented, including an eight-step model. Four notable characteristics of the procedures are: members of the inter-professional health care team, not external experts, taking a leading role in the reflections; patients or relatives not being directly involved; the model explicitly addressing values and moral principles instead of focussing exclusively on the interests of involved parties; using a case-based rather than principle-based method. By discusing the advantages and (...) disadvantages of the proposed procedures, our paper aims to contribute to the literature on models and procedures for ethical analysis that can be used in clinical settings. It is suggested that our proposed procedures have some advantageous features when it comes to promoting health care staff’s learning to structure their thinking about ethical issues. (shrink)

The view of nature we adopt in the natural attitude is determined by common sense, without which we could not survive. Classical physics is modelled on this common-sense view of nature, and uses mathematics to formalise our natural understanding of the causes and effects we observe in time and space when we select subsystems of nature for modelling. But in modern physics, we do not go beyond the realm of common sense by augmenting our knowledge of what is going on (...) in nature. Rather, we have measurements that we do not understand, so we know nothing about the ontology of what we measure. We help ourselves by using entities from mathematics, which we fully understand ontologically. But we have no ontology of the reality of modern physics; we have only what we can assert mathematically. In this paper, we describe the ontology of classical and modern physics against this background and show how it relates to the ontology of common sense and of mathematics. (shrink)

The Protein Ontology (PRO) web resource provides an integrative framework for protein-centric exploration and enables specific and precise annotation of proteins and protein complexes based on PRO. Functionalities include: browsing, searching and retrieving, terms, displaying selected terms in OBO or OWL format, and supporting URIs. In addition, the PRO website offers multiple ways for the user to request, submit, or modify terms and/or annotation. We will demonstrate the use of these tools for protein research and annotation.

Barry Smith recently discussed the diagraphs of book eight of Jacob Lorhard’s Ogdoas scholastica under the heading “birth of ontology” (Smith, 2022; this issue). Here, I highlight the commonalities between the original usage of diagraphs in the tradition of Ramus for didactic purposes and the the usage of their present-day successors–modern ontologies–for computational purposes. The modern ideas of ontology and of the universal computer were born just two generations apart in the breakthrough century of instrumental reason.

Cecilia Sjöholm reads Hannah Arendt as a philosopher of the senses, grappling with questions of vision, hearing, and touch even in her political work. Constructing an Arendtian theory of aesthetics from the philosopher's fragmentary writings on art and perception, Sjöholm begins a vibrant new chapter in Arendt scholarship that expands her relevance for contemporary philosophers. Arendt wrote thoughtfully about the role of sensibility and aesthetic judgment in political life and on the power of art to enrich human experience. Sjöholm (...) draws a clear line from Arendt's consideration of these subjects to her reflections on aesthetic encounters and works of art mentioned in her published writings and stored among her memorabilia. This delicate effort allows Sjöholm to revisit Arendt's political concepts of freedom, plurality, and judgment from an aesthetic point of view and incorporate Arendt's insight into current discussions of literature, music, theater, and visual art. Though Arendt did not explicitly outline an aesthetics, Sjöholm's work substantively incorporates her perspective into contemporary reckonings with radical politics and their relationship to art. (shrink)

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

Este relato de experiência discute um eixo de um projeto de ensino, pesquisa e extensão multi e interdisciplinar sobre educação e humanização da morte. Trata-se de ações da Psicologia destinadas à saúde mental dos trabalhadores do serviço funerário da cidade de São Paulo. A intervenção dividiu-se em duas etapas: visitas aos cemitérios, para aproximação daqueles pesquisadores à realidade e às demandas desses servidores; e oficinas com técnicas de dinâmica de grupo. Estas aconteceram por cinco meses, contaram com 130 participantes — (...) motoristas, sepultadores, “veloristas”, supervisores e gestores de recursos humanos — e tiveram como facilitadoras as integrantes da graduação e da pós-graduação em Psicologia. A análise das oficinas evidenciou, da parte dos servidores, sensibilização para suas necessidades em favor da saúde mental, percepção do valor de cuidado e humanização em suas relações profissionais e pessoais. Ademais, ações como essa realçaram a relevância de frequente acolhimento psicólogico a trabalhadores de serviços funerários. (shrink)

Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...) attention to the difference between language as used by humans and the sequences of inert symbols which arise when language is stored on hard drives or in books in libraries. (shrink)

Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.

RESUMO Neste artigo, analiso um conjunto de seis cartões comerciais pertencentes a uma duradoura campanha de marketing da Liebig Extract of Meat Co. A análise crítica dos textos promocionais produzidos na virada do século XX oferece insights significativos sobre os mecanismos discursivos que contribuíram para a hegemonização do capitalismo burguês. Diferentemente de outras formas de publicidade, os cartões comerciais não são rapidamente descartados e esquecidos; pelo contrário, eles podem se distanciar dos produtos anunciados para se tornar parte dos discursos populares (...) de instrução em massa. Como produtos e produtores de ideologias capitalistas, os anúncios são um local privilegiado de inscrição do capitalismo e, portanto, se prestam a uma análise crítica. Minha análise mostra como os textos selecionados se baseiam e texturizam os discursos do progresso, impregnados como crenças colonialistas e desencadeando uma cadeia de ações pela qual, mesmo antes de realmente obterem os cartões, são promulgadas ações e crenças capitalistas. ABSTRACT In this paper, I analyze a set of six trading cards belonging to Liebig’s Extract of Meat Co. long-standing marketing campaign. The critical analysis of promotional texts produced at the turn of the 20th century offer meaningful insights on the discursive mechanisms that contributed to the hegemonization of bourgeois capitalism. Unlike other forms of advertising, trading cards are not rapidly discarded and forgotten; on the contrary, they can detach themselves from the advertised products to become part of popular discourses of mass instruction. As both products and producers of capitalist ideologies, ads are a privileged site of inscription of capitalism, and thus lend themselves to a critical analysis. My analysis shows how the selected texts draws on and textures the discourses of progress, inculcated as colonialist beliefs and triggering an actional chain whereby, even before they actually obtained the cards, capitalist actions and beliefs are enacted. (shrink)

1. Properties of mirror neurons in monkeys. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (...) . . . 000 1.1. Action types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 1.2. Context effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 2. Is there a human ‘mirror neuron system’? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 2.1. Monkeys versus humans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 2.2. Action understanding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 3. The development of mirroring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 3.1. Imitation in newborns? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 3.2. Effects of experience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 000 3.3. Effects of sensorimotor experience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. (shrink)

Health Level 7 (HL7) is an international standards development organisation in the domain of healthcare information technology. Initially the mission of HL7 was to enable data exchange via the creation of syntactic standards which supported point-to-point messaging. Currently HL7 sees its mission as one of creating standards for semantic interoperability in healthcare IT on the basis of its flagship “version 3” (v3). Unfortunately, v3 has been plagued by quality and consistency issues, and it has not been able to keep pace (...) with recent developments either in semantics and ontology or in computer science and engineering. HL7’s response has been to develop its “Services-Aware Interoperability Framework” (SAIF), which is intended to provide a foundation for work on all aspects of standardization in HL7 henceforth. We here summarise the major design principles that must be satisfied by a semantic interoperability framework – principles relating both to static semantics and to computational behaviour. We then assess the SAIF in light of these principles. We conclude that the SAIF is not in a position to support the needed reform of the HL7 v3 family of standards. (shrink)

The Protein Ontology provides terms for and supports annotation of species-specific protein complexes in an ontology framework that relates them both to their components and to species-independent families of complexes. Comprehensive curation of experimentally known forms and annotations thereof is expected to expose discrepancies, differences, and gaps in our knowledge. We have annotated the early events of innate immune signaling mediated by Toll-Like Receptor 3 and 4 complexes in human, mouse, and chicken. The resulting ontology and annotation data set has (...) allowed us to identify species-specific gaps in experimental data and possible functional differences between species, and to employ inferred structural and functional relationships to suggest plausible resolutions of these discrepancies and gaps. (shrink)

Background The ambulance service provides emergency care to meet the patient’s medical and nursing needs. Based on professional nursing values, this should be done within a caring relationship with a holistic approach as the opposite would risk suffering related to disengagement from the patient’s emotional and existential needs. However, knowledge is sparse on how ambulance personnel can meet caring needs and avoid suffering, particularly in conjunction with urgent and emergency situations. Aim The aim of the study was to explore ambulance (...) nurses’ experiences of relationships with patients in urgent and emergency situations. Methods Data collection was performed using individual open-ended interviews with six ambulance nurses. The data were analyzed using a thematic analysis. Results Relationships with patients during urgent and emergency assignments emerged as three themes: “ Ambiguous silence,” “ Professional competence” and “ Challenging inadequacy” comprising eight sub-themes in total. The result shows that the ambulance nurses found it difficult to prioritize between medical care and establishing a caring relationship with the patient. However, sometimes a wordless relationship was perceived sufficient and considered a first step towards a verbal relationship. Conclusions Ambulance nurses experience that a caring relationship cannot and does not need to be prioritized in the acute stage. This uncovers a dichotomy approach to medical care versus caring relationships that exclude a holistic approach. Thus, patients’ emotional, existential and physical needs are not considered as equally important. Clinical relevance: It is important to stimulate reflection on core ethical nursing values, in training and simulation exercises among clinically active ambulance nurses. (shrink)

Business ethics is a relatively new topic of academic discussion in Latin America. Corruption and impunity came to be serious moral diseases in the region, probably as a result of a long period of dictatorship in most countries. Low ethical standards in the politics have had deep impact on individuals, organizations and economic systems. Excessive consumption, materialism and selfishness, in contrast with real poverty, have been responsible for a sloppiness in attitudes and principles in many Latin American countries. Even though (...) the majority of the population belongs to the Roman Catholic Church, the lack of education has led people to a dichotomy: faith and business practices are often very distant from each other. Several isolated efforts have been done in order to enhance business ethics through education, publications and professional activities. The relationship business-academia has proved to be an excellent initiative for this objective, mainly in Mexico, Brazil and Peru. (shrink)

Das in diesem Aufsatz vorgebrachte Argumentationsmuster hat folgende Schritte: 1. Der menschliche Geist ist vom Körper nicht trennbar, sie bilden ein Kontinuum. 2. Unser Bewusstsein und alle darauf aufbauenden geistigen Phänomene sind die Emanation eines materiellen Prozesses, den ein komplexes System verursacht. 3. Komplexe Systeme lassen sich mathematisch nicht modellieren und nicht kausal verstehen. 4. Computer sind Turing-Maschinen. Sie können nur mathematische Modelle berechnen. Es wird niemals Hyper-Turing Maschinen geben, und wenn es sie gäbe, könnten sie auch nur mathematische Modelle (...) berechnen. 5. Es ist nicht möglich, den Körper als Substrat des Geistes durch einen Computer zu ersetzen. Die digitale Unsterblichkeit ist demzufolge ein Ding der Unmöglichkeit. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

Cognitive gadgets are distinctively human cognitive mechanisms – such as imitation, mind reading, and language – that have been shaped by cultural rather than genetic evolution. New gadgets emerge, not by genetic mutation, but by innovations in cognitive development; they are specialised cognitive mechanisms built by general cognitive mechanisms using information from the sociocultural environment. Innovations are passed on to subsequent generations, not by DNA replication, but through social learning: People with new cognitive mechanisms pass them on to others through (...) social interaction. Some of the new mechanisms, like literacy, have spread through human populations, while others have died out, because the holders had more students, not just more babies. The cognitive gadgets hypothesis is developed through four case studies, drawing on evidence from comparative and developmental psychology, experimental psychology, and cognitive neuroscience. The framework employed – cultural evolutionary psychology, a descendant of evolutionary psychology and cultural evolutionary theory – addresses parallel issues across the cognitive and behavioural sciences. In common with evolutionary developmental biology and the extended evolutionary synthesis, cultural evolutionary psychology underlines the importance of developmental processes and environmental factors in the emergence of human cognition. In common with computational approaches, it emphasises the power of general-purpose mechanisms of learning. Cultural evolutionary psychology, however, also challenges use of the behavioural gambit in economics and behavioural ecology, and rejects the view that human minds are composed of “innate modules” or “cognitive instincts.”. (shrink)

This book investigates Hegel’s interpretation of the mystical philosophy of Jakob Böhme, considered in the context of the reception of Böhme in the 18th and 19th centuries, and of Hegel’s own understanding of mysticism as a philosophical approach. The three sections of this book present: the historical background of Hegel’s encounter with Böhme’s writings; the development of two different conceptions of mysticism in Hegel’s work; and finally Hegel’s approach to Böhme’s philosophy, discussing in detail the references to Böhme both in (...) published writings and manuscripts. According to Hegel, Böhme is “the first German philosopher”. The reason for placing Böhme at the very beginning of German philosophy is that Hegel considers him to be a profound thinker, despite his rudimentary education. Hegel’s fascination with Böhme mainly concerns the mystic’s understanding of the symbiotic relation between God and his opposite, the Devil: he considers this to be the true speculative core of Böhme’s thought. By interpreting Böhme, Hegel intends to free the speculative content of his thought from the limitations of the inadequate, barbarous form in which the mystic expressed it, and also to liberate Böhme from the prejudices surrounding his writings, placing him firmly in the territory of philosophy and detaching him from the obscurity of esotericism. Combining historical reconstructions and philosophical argumentation, this book guides the reader through an important phase in German philosophy, and ultimately into an inquiry about the relationship between mysticism and philosophy itself. (shrink)

Teaching allows human culture to exist and to develop. Despite its significance, it has not been studied in depth by the cognitive neurosciences. Here we propose two hypotheses to boost the claim that teaching is a human instinct, and to expand our understanding of how teaching occurs as a dynamic bi-directional relation within the teacher-learner dyad. First, we explore how children naturally use ostensive communication when teaching; allowing them to be set in the emitter side of natural pedagogy. Then, we (...) hypothesize that the capacity to teach may precede to even have a mature metacognition and, we argue that a teacher will benefit from the interaction with her student, improving her understanding on both contents of knowledge: her own and her student’s. Thus, we propose that teaching may be the driving force of metacognitive development and may be occurring as an instinct from very early ages. (shrink)

Revisión de Actividad Que digan dónde están" Una historia de los derechos humanos en Argentina por L. Alonso.