Results for 'Jeanette Landgrebe'

61 found
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  1. Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2021 - Synthese 198 (March):2061-2081.
    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 (...)
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  2. Why Machines Will Never Rule the World: Artificial Intelligence without Fear.Jobst Landgrebe & Barry Smith - 2022 - Abingdon, England: Routledge.
    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 (...)
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  3. The Birth of Ontology and the Directed Acyclic Graph.Jobst Landgrebe - 2022 - Journal of Knowledge Structures and Systems 3 (1):72-75.
    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.
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  4. An argument for the impossibility of machine intelligence (preprint).Jobst Landgrebe & Barry Smith - 2021 - Arxiv.
    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 (...)
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  5. The HL7 approach to semantic interoperability.Jobst Landgrebe & Barry Smith - 2011 - In Landgrebe Jobst & Smith Barry (eds.), Proceedings of the 2nd International Conference on Biomedical Ontology. CEUR, vol. 833. pp. 139-146.
    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 (...)
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  6. Ontologies of Common Sense, Physics and Mathematics.Jobst Landgrebe & Barry Smith - 2023 - Archiv.
    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 (...)
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  7. There is no general AI.Jobst Landgrebe & Barry Smith - 2020 - arXiv.
    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 (...)
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  8. Why music moves us.Jeanette Bicknell - 2009 - New York: Palgrave-Macmillan.
    The tears of Odysseus -- History : music gives voice to the ineffable -- Tears, chills, and broken bones -- The music itself -- Explaining strong emotional responses to music I -- Explaining strong emotional responses to music II -- The sublime, revisited -- Conclusion : values.
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  9. Certifiable AI.Jobst Landgrebe - 2022 - Applied Sciences 12 (3):1050.
    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 (...)
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  10. Intelligence. And what computers still can’t do.Jobst Landgrebe & Barry Smith - 2024 - Cosmos+Taxis 12 (5+6):104-114.
    We comment on the collection of papers inspired by our book Why Machines Will Never Rule the World published in volume 12 (5+6) of the journal Cosmos+Taxis. We summarize the arguments made by the contributors about what we say in the book, and then show where we disagree.
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  11. Truthfulness and Sense-Making: Two Modes of Respect for Agency.Jeanette Kennett & Steve Matthews - 2024 - Journal of Philosophy 121 (2):61-88.
    According to a Kantian conception truthfulness is characterised as a requirement of respect for the agency of another. In lying we manipulate the other’s rational capacities to achieve ends we know or fear they may not share. This is paradigmatically a failure of respect. In this paper we argue that the importance of truthfulness also lies in significant part in the ways in which it supports our agential need to make sense of the world, other people, and ourselves. Since sense-making (...)
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  12. Why machines do not understand: A response to Søgaard.Jobst Landgrebe & Barry Smith - 2023 - Archiv.
    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 (...)
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  13. Causality as a partitioning principle for upper ontologies.Jobst Landgrebe - 2021 - Journal of Knowledge Structures and Systems 2 (2):36-40.
    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.
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  14. Sam Harris and the Myth of Artificial Intelligence.Jobst Landgrebe & Barry Smith - 2023 - In Sandra Woien (ed.), Sam Harris: Critical Responses. Chicago: Carus Books. pp. 153-61.
    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 (...)
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  15. Why Machines Will Never Rule the World – On AI and Faith.Jobst Landgrebe, Barry Smith & Jamie Franklin - 2023 - Irreverend. Faith and Human Affairs.
    Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.
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  16. Unsterblichkeit 2.0.Jobst Landgrebe & Barry Smith - 2022 - In Ludger Jansen & Rebekka A. Klein (eds.), Seele digital? Mind uploading, virtuelles Bewusstsein und christliche Auferstehungshoffnung. Verlag Friedrich Pustet. pp. 69-83.
    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 (...)
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  17. UNVEILING THE REALM OF ACADEMIC CHALLENGES: THE ELEMENTARY LEARNERS' EXPERIENCES IN MODULAR LEARNING.Jeanette Pedriña, Karyll Rose Digaum, Mea Ann Malcampo, Julia Zyraelle Pantoja & Von Christian Ubaldo - 2024 - International Journal of Research Publications 143 (1).
    Modular learning was used to assist elementary learners in continuing their education during the pandemic. This modular learning posed academic challenges. This phenomenological study delved into the academic challenges of modular learning of public-school elementary school learners. Validated In-depth interview protocol (IDI) was used to collect the data from ten (10) Grade six learners. Findings revealed that these academic challenges include unfavorable learning environments, reading comprehension issues, lack of motivation, and poor quality of printed learning modules that affect the learners (...)
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  18. Reactive attitudes, relationships, and addiction.Jeanette Kennett, Doug McConnell & Anke Snoek - 2018 - In Hanna Pickard & Serge H. Ahmed (eds.), The Routledge Handbook of Philosophy and Science of Addiction. Routledge.
    In this chapter we focus on the structure of close personal relations and diagnose how these relationships are disrupted by addiction. We draw upon Peter Strawson’s landmark paper ‘Freedom and Resentment’ (2008, first published 1962) to argue that loved ones of those with addiction veer between, (1) reactive attitudes of blame and resentment generated by disappointed expectations of goodwill and reciprocity, and (2) the detached objective stance from which the addicted person is seen as less blameworthy but also as less (...)
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  19. Ontology and Cognitive Outcomes.David Limbaugh, Jobst Landgrebe, David Kasmier, Ronald Rudnicki, James Llinas & Barry Smith - 2020 - Journal of Knowledge Structures and Systems 1 (1): 3-22.
    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 (...)
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  20. Comparative Study on the Ethnic Stereotypes of the Kapampangan, Ilocano, and Tagalog Students of Tarlac State University.Jeanette P. Mendoza, Mary Irene Clare O. Deleña & F. P. A. Demeterio Iii - 2019 - Mabini Review 8:39-66.
    Tarlac State University (TSU) is a multi-ethnic and multicultural institution with a student population that is predominated by the Kapampangan, Ilocano, and Tagalog ethnolinguistic groups. Using a modified Katz and Braly trait checklist, a comparative study was able to: 1) profile the stereotypes of these three ethnolinguistic groups, 2) determine their uniformity indices, 3) determine their positivity/negativity indices, 4) compare and contrast their profiled stereotypes, 5) compare and contrast their uniformity indices, and 6) compare and contrast their positivity/negativity indices. This (...)
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  21. Self Control and Moral Security.Jessica Wolfendale & Jeanette Kennett - 2019 - In David Shoemaker (ed.), Oxford Studies in Agency and Responsibility Volume 6. Oxford University Press. pp. 33-63.
    Self-control is integral to successful human agency. Without it we cannot extend our agency across time and secure central social, moral, and personal goods. But self-control is not a unitary capacity. In the first part of this paper we provide a taxonomy of self-control and trace its connections to agency and the self. In part two, we turn our attention to the external conditions that support successful agency and the exercise of self-control. We argue that what we call moral security (...)
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  22. Where there’s no will, there’s no way.Alex Thomson, Jobst Landgrebe & Barry Smith - 2023 - Ukcolumn.
    An interview by Alex Thomson of UKColumn on Landgrebe and Smith's book: Why Machines Will Never Rule the World. The subtitle of the book is Artificial Intelligence Without Fear, and the interview begins with the question of the supposedly imminent takeover of one profession or the other by artificial intelligence. Is there truly reason to be afraid that you will lose your job? The interview itself is titled 'Where this is no will there is no way', drawing on one (...)
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  23. Intimate relations: friends and lovers.Dirk Baltzly & Jeanette Kennett - 2017 - In E. Kroeker and K. Schaubroek (ed.), Love, Reason and Morality. pp. 110–124.
    In this paper we look at two kinds of relations that give rise to reasons for action of a distinctive sort: friendship and erotic love. We argue that what is common to these different relations of affection is that the people in them exhibit dispositions toward mutual direction by one another and interpretation of one another (in a sense that we describe in detail below). This mutual responsiveness is, in part, a matter of responding to reasons that arise from the (...)
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  24. Why AI will never rule the world (interview).Luke Dormehl, Jobst Landgrebe & Barry Smith - 2022 - Digital Trends.
    Call it the Skynet hypothesis, Artificial General Intelligence, or the advent of the Singularity — for years, AI experts and non-experts alike have fretted (and, for a small group, celebrated) the idea that artificial intelligence may one day become smarter than humans. -/- According to the theory, advances in AI — specifically of the machine learning type that’s able to take on new information and rewrite its code accordingly — will eventually catch up with the wetware of the biological brain. (...)
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  25. Reasons, reflection, and repugnance.Doug McConnell & Jeanette Kennett - 2016 - In Steve Clarke, Julian Savulescu, C. A. J. Coady, Alberto Giubilini & Sagar Sanyal (eds.), The Ethics of Human Enhancement: Understanding the Debate. Oxford, United Kingdom: Oxford University Press.
    In this chapter we draw comparisons between Kass’ views on the normative authority of repugnance and social intuitionist accounts of moral judgement which are similarly sceptical about the role of reasoned reflection in moral judgement. We survey the empirical claims made in support of giving moral primacy to intuitions generated by emotions such as repugnance, as well as some common objections. We then examine accounts which integrate intuition and reflection, and argue that plausible accounts of wisdom are in tension with (...)
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  26.  38
    Respecting Agency in Dementia Care: When Should Truthfulness Give Way?Steve Matthews & Jeanette Kennett - 2021 - Journal of Applied Philosophy 39 (1):117-131.
    Journal of Applied Philosophy, EarlyView.
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  27. Ontology of language, with applications to demographic data.S. Clint Dowland, Barry Smith, Matthew A. Diller, Jobst Landgrebe & William R. Hogan - 2023 - Applied ontology 18 (3):239-262.
    Here we present what we believe is a novel account of what languages are, along with an axiomatically rich representation of languages and language-related data that is based on this account. We propose an account of languages as aggregates of dispositions distributed across aggregates of persons, and in doing so we address linguistic competences and the processes that realize them. This paves the way for representing additional types of language-related entities. Like demographic data of other sorts, data about languages may (...)
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  28.  56
    The Impact of Dementia on the Self: Do We Consider Ourselves the Same as Others?Sophia A. Harris, Amee Baird, Steve Matthews, Jeanette Kennett, Rebecca Gelding & Celia B. Harris - 2021 - Neuroethics 14 (3):281-294.
    The decline in autobiographical memory function in people with Alzheimer’s dementia has been argued to cause a loss of self-identity. Prior research suggests that people perceive changes in moral traits and loss of memories with a “social-moral core” as most impactful to the maintenance of identity. However, such research has so far asked people to rate from a third-person perspective, considering the extent to which hypothetical others maintain their identity in the face of various impairments. In the current study, we (...)
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  29. Quantum sensing and quantum engineering: a strategy for acceleration via metascience.Charles Clark, Mayur Gosai, Terry Janssen, Melissa LaDuke, Jobst Landgrebe, Lawrence Pace & Barry Smith - 2023 - Proceedings of Spie: Quantum Sensing, Imaging, and Precision Metrology 12447.
    Research and engineering in the quantum domain involve long chains of activity involving theory development, hypothesis formation, experimentation, device prototyping, device testing, and many more. At each stage multiple paths become possible, and of the paths pursued, the majority will lead nowhere. Our quantum metascience approach provides a strategy which enables all stakeholders to gain an overview of those developments along these tracks, that are relevant to their specific concerns. It provides a controlled vocabulary, built out of terms that are (...)
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  30. Managing shame and guilt in addiction: A pathway to recovery.Anke Snoek, Victoria McGeer, Daphne Brandenburg & Jeanette Kennett - 2021 - Addictive Behaviors 120.
    A dominant view of guilt and shame is that they have opposing action tendencies: guilt- prone people are more likely to avoid or overcome dysfunctional patterns of behaviour, making amends for past misdoings, whereas shame-prone people are more likely to persist in dysfunctional patterns of behaviour, avoiding responsibility for past misdoings and/or lashing out in defensive aggression. Some have suggested that addiction treatment should make use of these insights, tailoring therapy according to people’s degree of guilt-proneness versus shame-proneness. In this (...)
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  31.  54
    Truthfulness in dementia care.Philippa Byers, Steve Matthews & Jeanette Kennett - 2021 - Bioethics 35 (9):839-841.
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  32. Comparative Study on the Ethnic Stereotypes and Self-Stereotypes of the Kapampangan, Ilocano, and Tagalog Students of Tarlac State University.F. P. A. Demeterio Iii, Jeanette Mendoza & Mary Irene Clare Delena - 2020 - Mabini Review 9:1-31.
    Tarlac State University (TSU) is a multi-ethnic and multicultural institution with a student population that is predominated by the Kapampangan, Ilocano, and Tagalog ethnolinguistic groups. This paper is a comparative study of the ethnic stereotypes and self-stereotypes of these three ethnolinguistic groups. Using a modified Katz and Braly trait checklist, this paper was able to: 1) profile the ethnic stereotypes and self-stereotypes of these three ethnolinguistic groups, 2) determine their uniformity indices, 3) determine their positivity/negativity indices, 4) compare and contrast (...)
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  33. Acerca de la interpretación de Landgrebe sobre el cartesianismo de Husserl.Patricio Agustin Perkins - 2014 - Investigaciones Fenomenológicas 11:203-222.
    Critico la teoría hermenéutica de Landgrebe sobre el cartesianismo de Husserl mostrando la estructura argumentativa en la que se inserta, lo que pretende y lo que está forzada a pretender. Su núcleo duro radica en los conceptos de crítica inmanente y lógica interna y tiene como meta final promover una idea de trascendental no-entitativa voluntarista y correlacional opuesta a la de un yo absoluto. Para probar esto, analizo tres niveles del cartesianismo de Landgrebe: primero, la síntesis contradictoria entre (...)
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  34.  69
    Back to Evolutionary Intelligence: Reading Landgrebe and Smith.Kirill Krinkin - 2024 - Cosmos+Taxis 12 (5+6):76-79.
    This article is a response to the position of Landgrebe and Smith on the fundamental limitations that prevent the creation of Artificial General Intelligence (AGI), expressed in their book Why Machines Will Never Rule the World. The reasons for failures for attempts to create AGI using formal logic and algorithmic approaches to modeling intelligence are discussed. An attempt is made to define the future direction of intellectual systems development as hybrid evolving systems, as well as a revision of the (...)
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  35. Why Machines Will Never Rule the World: Artificial Intelligence without Fear by Jobst Landgrebe & Barry Smith (Book review). [REVIEW]Walid S. Saba - 2022 - Journal of Knowledge Structures and Systems 3 (4):38-41.
    Whether it was John Searle’s Chinese Room argument (Searle, 1980) or Roger Penrose’s argument of the non-computable nature of a mathematician’s insight – an argument that was based on Gödel’s Incompleteness theorem (Penrose, 1989), we have always had skeptics that questioned the possibility of realizing strong Artificial Intelligence (AI), or what has become known by Artificial General Intelligence (AGI). But this new book by Landgrebe and Smith (henceforth, L&S) is perhaps the strongest argument ever made against strong AI. It (...)
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  36. Fieldwork places: legitimate, illegitimate, obviously legitimate, better, worse.Terence Rajivan Edward - manuscript
    Jeanette Edwards observes a pattern of questions of the form “Why do anthropology fieldwork in location X?” - she only hears the question posed of some places - and she explains this pattern by saying that some places are taken to be obviously legitimate for anthropology fieldwork whereas others are not. I draw distinctions between legitimate and illegitimate, obviously legitimate and not obviously legitimate, and better and worse. The distinctions lead to a different explanation.
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  37. Rejecting the why-do-fieldwork-there question and the metaphysics of the self.Terence Rajivan Edward - manuscript
    Jeanette Edwards sounds as if she wishes to reject the question “Why did you do fieldwork there?” I propose a metaphysical route to this, which is to say, “The self before fieldwork is not my self,” but this conflicts with the traditional Lockean account of personal identity.
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  38. What is a machine? Exploring the meaning of ‘artificial’ in ‘artificial intelligence’.Stefan Schulz & Janna Hastings - 2024 - Cosmos+Taxis 12 (5+6):37-41.
    Landgrebe and Smith provide an argument for the impossibility of Artificial General Intelligence based on the limits of simulating complex systems. However, their argument presupposes a very contemporary vision of artificial intelligence as a model trained on data to produce an algorithm executable in a modern digital computing system. The present contribution explores what it means to be artificial. Current artificial intelligence approaches on modern computing systems are not the only conceivable way in which artificial intelligence technology might be (...)
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  39. On the distribution of why-fieldwork-there questions.Terence Rajivan Edward - manuscript
    Jeanette Edwards tells us that she is often asked about why she did fieldwork in the English town of Bacup, whereas she has not heard anthropologists who did fieldwork in Papua New Guinea asked why there. She commits herself to a certain explanation for this: potential inquirers assume that non-Western societies are legitimate objects of study for social anthropology but this is not assumed for Western societies. I propose another explanation: it is not about the legitimacy of the object (...)
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  40. Bacup: why do fieldwork there?Terence Rajivan Edward - manuscript
    Jeanette Edwards did fieldwork in the English town of Bacup. Why do fieldwork there? She writes that she is often asked this, whereas the question is unlikely to be asked of an anthropologist who does fieldwork in Papua New Guinea, because it is “axiomatically” an acceptable place for fieldwork. I present two responses to Edwards’ thinking, one of which concerns an asymmetry in how “skeptics” present their questions.
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  41. Complexity and Particularity: An Argument for the Impossibility of Artificial Intelligence.Emanuele Martinelli - 2024 - Cosmos+Taxis 12 (5+6):42-57.
    Landgrebe and Smith (2022) have recently offered an important mathematical argument against the possibility of Artificial General Intelligence (AGI): human intelligence is a complex system; complex systems have some properties that cannot be modelled mathematically; hence we have no viable way to build an AI that would be able to emulate human intelligence. The issue of complexity is thus at the heart of the Landgrebe and Smith approach, and they tackle this issue by postulating a set of conditions, (...)
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  42. How much was known about Bacup beforehand?Terence Rajivan Edward - manuscript
    This paper considers Jeanette Edwards’ claim that she knew little about the town of Bacup beforehand, in response to the question of why she did fieldwork there. I draw attention to dissatisfaction with this answer as avoiding the question. Also, there is an argument that she and you and I all know a lot about Bacup, compared to various groups studied by social anthropologists.
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  43.  96
    Conversational AI for Psychotherapy and Its Role in the Space of Reason.Jana Sedlakova - 2024 - Cosmos+Taxis 12 (5+6):80-87.
    The recent book by Landgrebe and Smith (2022) offers compelling arguments against the possibility of Artificial General Intelligence (AGI) as well as against the idea that machines have the abilities to master human language, human social interaction and morality. Their arguments leave open, however, a problem on the side of the imaginative power of humans to perceive more than there is and treat AIs as humans and social actors independent of their actual properties and abilities or lack thereof. The (...)
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  44. Varför AI inte kommer att ta över världen. [REVIEW]Peter Gärdenfors - 2024 - Sans 2.
    Review of Jobst Landgrebe and Barry Smith, Why Machines Will Never Rule the World (Routledge, 2023).
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  45. Is Artificial General Intelligence Impossible?William J. Rapaport - 2024 - Cosmos+Taxis 12 (5+6):5-22.
    In their Why Machines Will Never Rule the World, Landgrebe and Smith (2023) argue that it is impossible for artificial general intelligence (AGI) to succeed, on the grounds that it is impossible to perfectly model or emulate the “complex” “human neurocognitive system”. However, they do not show that it is logically impossible; they only show that it is practically impossible using current mathematical techniques. Nor do they prove that there could not be any other kinds of theories than those (...)
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  46. The Good of Friendship at the End of Life.Christopher Mole - 2015 - International Journal of Philosophical Studies 23 (4):445-459.
    This article attempts to explain the value that we assign to the presence of friends at the time when life is ending. It first shows that Aristotle’s treatment of friendship does not provide a clear account of such value. It then uses J. L. Austin’s notion of performativity to supplement one recent theory of friendship – given by Dean Cocking and Jeanette Kennett – in such a way that that theory can then account for friendship’s special value at our (...)
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  47. Why Machines Won't Rule the World. [REVIEW]Peter Gärdenfors - 2024 - Sans 2.
    This is a review of Jobst Landgrebe and Barry Smith, Why Machines Will Neve Rule the World (Routledge, 2023).
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  48.  95
    L’intelligenza artificiale non dominerà il mondo (interview, with English translation).Pierangelo Soldavini & Barry Smith - 2024 - Il Sole di 24 Ore 2024.
    Artificial intelligence is man's attempt to use software to emulate the intelligence of human beings. But the complexity of the human neurological system formed in the course of evolution is impossible to replicate: "Human languages and societies are complex systems, indeed complex systems of many complex systems," so much so that their mathematical modeling is impossible. Barry Smith, philosopher and professor at the University at Buffalo. shows no uncertainty about this. His latest book written with Jobst Landgrebe, a mathematician (...)
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  49. Psychopathy, Autism and Questions of Moral Agency.Mara Bollard - 2013 - In Christopher D. Herrera & Alexandra Perry (eds.), Ethics and Neurodiversity. Cambridge Scholars University. pp. 238-259.
    In recent years, philosophers have looked to empirical findings about psychopaths to help determine whether moral agency is underwritten by reason, or by some affective capacity, such as empathy. Since one of psychopaths’ most glaring deficits is a lack of empathy, and they are widely considered to be amoral, psychopaths are often taken as a test case for the hypothesis that empathy is necessary for moral agency. However, people with autism also lack empathy, so it is reasonable to think that (...)
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  50. Is Intelligence Non-Computational Dynamical Coupling?Jonathan Simon - 2024 - Cosmos+Taxis 12 (5+6):23-36.
    Is the brain really a computer? In particular, is our intelligence a computational achievement: is it because our brains are computers that we get on in the world as well as we do? In this paper I will evaluate an ambitious new argument to the contrary, developed in Landgrebe and Smith (2021a, 2022). Landgrebe and Smith begin with the fact that many dynamical systems in the world are difficult or impossible to model accurately (inter alia, because it is (...)
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