Results for 'Models of distributing knowledge'

960 found
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  1. Tableau-based decision procedure for the multiagent epistemic logic with all coalitional operators for common and distributed knowledge.M. Ajspur, V. Goranko & D. Shkatov - 2013 - Logic Journal of the IGPL 21 (3):407-437.
    We develop a conceptually clear, intuitive, and feasible decision procedure for testing satisfiability in the full multi\-agent epistemic logic \CMAELCD\ with operators for common and distributed knowledge for all coalitions of agents mentioned in the language. To that end, we introduce Hintikka structures for \CMAELCD\ and prove that satisfiability in such structures is equivalent to satisfiability in standard models. Using that result, we design an incremental tableau-building procedure that eventually constructs a satisfying Hintikka structure for every satisfiable input (...)
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  2. Models of Philosophical Thought Experimentation.Jonathan Andy Tapsell - 2014 - Dissertation, Australian National University
    The practice of thought experimentation plays a central role in contemporary philosophical methodology. Many philosophers rely on thought experimentation as their primary and even sole procedure for testing theories about the natures of properties and relations. This test procedure involves entertaining hypothetical cases in imaginative thought and then undergoing intuitions about the distribution of properties and relations in them. A theory’s comporting with an intuition is treated as evidence in favour of it; but a clash is treated as evidence against (...)
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  3. The Politicis of Social Epistemology.Susan Dieleman, María G. Navarro & Elisabeth Simbürger - 2015 - In James H. Collier (ed.), The Future of Social Epistemology: A Collective Vision. New York: Rowman & Littlefield International. pp. 55-64.
    The Future of Social Epistemology: A Collective Vision sets an agenda for exploring the future of what we – human beings reimagining our selves and our society – want, need and ought to know. The book examines, concretely, practically and speculatively, key ideas such as the public conduct of philosophy, models for extending and distributing knowledge, the interplay among individuals and groups, risk taking and the welfare state, and envisioning people and societies remade through the breakneck pace (...)
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  4. Knowledge Resource Inequality.Sidharta Chatterjee - 2021 - IUP Journal of Knowledge Management 19 (3):49-75.
    Inequality is an effect of much concern for economists and policy makers. Inequality gives rise to poverty, a phenomenon still troubling the world economy, characterized by a gap wherein the standard deviation between the rich and the poor is too high. Various factors are attributed to the growing inequality, but one which is often overlooked is misallocation of knowledge resources. In this paper, we reinforce the concept of knowledge as being a capital resource. Following this, by using a (...)
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  5. DNAOS for KREMMS: A distributed platform for knowledge resource entitlement, modeling, management, and sharing.Andre Cusson - 2020 - Journal of Knowledge Structures and Systems 1 (1):117-133.
    This article is a knowledge technology case study of DNAOS, a distributed platform for Knowledge Resource Entitlement, Modeling, Management, and Sharing (KREMMS). Some historical aspects of its design, development, and release are briefly discussed, after which the DNAOS technology is commented upon from the specific viewpoint of KREMMS. At the core of this platform is the conception of knowledge as a natural phenomenon, which conception is reflected in the ontology of this technology: Fundamental knowledge structures and (...)
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  6.  75
    A model of faulty and faultless disagreement for post-hoc assessments of knowledge utilization in evidence-based policymaking.Remco Heesen, Hannah Rubin, Mike D. Schneider, Katie Woolaston, Alejandro Bortolus, Emelda E. Chukwu, Ricardo Kaufer, Veli Mitova, Anne Schwenkenbecher, Evangelina Schwindt, Helena Slanickova, Temitope O. Sogbanmu & Chad L. Hewitt - 2024 - Scientific Reports 14:18495.
    When evidence-based policymaking is so often mired in disagreement and controversy, how can we know if the process is meeting its stated goals? We develop a novel mathematical model to study disagreements about adequate knowledge utilization, like those regarding wild horse culling, shark drumlines and facemask policies during pandemics. We find that, when stakeholders disagree, it is frequently impossible to tell whether any party is at fault. We demonstrate the need for a distinctive kind of transparency in evidence-based policymaking, (...)
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  7. The Introspective Model of Genuine Knowledge in Wang Yangming.Harvey Lederman - 2022 - Philosophical Review 131 (2):169-213.
    This article presents a new interpretation of the great Ming dynasty philosopher Wang Yangming’s celebrated doctrine of the “unity of knowledge and action”. Wang held that action was not unified with all knowledge, but only with an elevated form of knowledge, which he sometimes called “genuine knowledge”. I argue for a new interpretation of this notion, according to which genuine knowledge requires freedom from a form of doxastic conflict. I propose that, in Wang’s view, a (...)
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  8. Multimodal Abduction in Knowledge Development.L. Magnani - 2009 - Preworkshop Proceedings, IJCAI2009International Workshop on Abductive and Inductive Knowledge Development (Pasadena, CA, USA, July 12, 2009).
    From the perspective of distributed cognition I will stress how abduction is essentially multimodal, in that both data and hypotheses can have a full range of verbal and sensory representations, involving words, sights, images, smells, etc., but also kinesthetic – related to the ability to sense the position and location and orientation and movement of the body and its parts – and motor experiences and other feelings such as pain, and thus all sensory modalities. The presence of kinesthetic and motor (...)
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  9. Constructing Models of Ethical Knowledge: A Scientific Enterprise.L. P. Steffe - 2014 - Constructivist Foundations 9 (2):262-264.
    Open peer commentary on the article “Ethics: A Radical-constructivist Approach” by Andreas Quale. Upshot: The first of my two main goals in this commentary is to establish thinking of ethics as concepts rather than as non-cognitive knowledge. The second is to argue that establishing models of individuals’ ethical concepts is a scientific enterprise that is quite similar to establishing models of individuals’ mathematical concepts. To accomplish these two primary goals, I draw from my experience of working scientifically (...)
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  10. Formal thought disorder and logical form: A symbolic computational model of terminological knowledge.Luis M. Augusto & Farshad Badie - 2022 - Journal of Knowledge Structures and Systems 3 (4):1-37.
    Although formal thought disorder (FTD) has been for long a clinical label in the assessment of some psychiatric disorders, in particular of schizophrenia, it remains a source of controversy, mostly because it is hard to say what exactly the “formal” in FTD refers to. We see anomalous processing of terminological knowledge, a core construct of human knowledge in general, behind FTD symptoms and we approach this anomaly from a strictly formal perspective. More specifically, we present here a symbolic (...)
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  11. The perception movement economy of Ukraine to business/Igor Britchenko, Volodymyr Saienko//Списание «Икономически изследвания (Economic Studies)». – Институт за икономически изследвания при БАН, София (България). – № 4. – 2017. – P. 163 - 181. ISSN 02053292.Igor Britchenko & Volodymyr Saienko - 2017 - Списание «Икономически Изследвания (Economic Studies)» 4 (4):163 - 181.
    The article provides the analysis of the entrance into the innovative activity and organized regulation of interaction which is based on the scientific and technological changes, concentration of production and the feasibility study of administrative decisions, which are dominated by a conglomerate of technical, technological and engineering management decisions. The research formulates the provisions for the productive use of business as the form of economic relations which is based on the entrepreneur function. These provisions are formulated basing on the conditions (...)
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  12. Logic and Constructivism: A Model of Terminological Knowledge.Farshad Badie - 2020 - Journal of Knowledge Structures and Systems 1 (1):23-39.
    This original research hypothesises that the most fundamental building blocks of logical descriptions of cognitive, or knowledge, agents’ descriptions are expressible based on their conceptions (of the world). This article conceptually and logically analyses agents’ conceptions in order to offer a constructivist- based logical model for terminological knowledge. The most significant characteristic of [terminological] knowing is that there are strong interrelationships between terminological knowledge and the individualistic constructed, and to-be-constructed, models of knowledge. Correspondingly, I conceptually (...)
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  13.  75
    Design and validation of a Character Friendship Scale for young adults//Diseño y validación de una Escala de Amistad de Carácter para jóvenes.A. Romero-Iribas & Celia Camilli - 2023 - Revista Española de Pedagogia 286:529-553.
    Friendship is an important bond in the personal and social growth of an individual and plays a prominent role during youth. Most scales to measure it are aimed at children and adolescents but none measure character friendship, a type of selfless friendship with ethical traits an d Aristotelian roots. Therefore, the aim of the research is to design and validate the youth Character Friendship Scale (CFS) in a sample of 1587 young Spanish people. The final version of the CFS is (...)
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  14. Conceptual fingerprints: Lexical decomposition by means of frames – a neuro-cognitive model.Wiebke Petersen & Markus Werning - 2007 - In U. Priss, S. Polovina & R. Hill (eds.), Conceptual structures: Knowledge architectures for smart applications. Heidelberg: pp. 415-428.
    Frames, i.e., recursive attribute-value structures, are a general format for the decomposition of lexical concepts. Attributes assign unique values to objects and thus describe functional relations. Concepts can be classified into four groups: sortal, individual, relational and functional concepts. The classification is reflected by different grammatical roles of the corresponding nouns. The paper aims at a cognitively adequate decomposition, particularly, of sortal concepts by means of frames. Using typed feature structures, an explicit formalism for the characterization of cognitive frames is (...)
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  15. Standards and the distribution of cognitive labour: A model of the dynamics of scientific activity.Langhe Rogieder & Greiff Matthias - 2010 - Logic Journal of the IGPL 18 (2):278-294.
    We present a model of the distribution of labour in science. Such models tend to rely on the mechanism of the invisible hand . Our analysis starts from the necessity of standards in distributed processes and the possibility of multiple standards in science. Invisible hand models turn out to have only limited scope because they are restricted to describing the atypical single-standard case. Our model is a generalisation of these models to J standards; single-standard models such (...)
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  16. Martin Heidegger and Modern Models of the Growth of Knowledge.Rinat Nugayev & Tanzilia Burganova - 2016 - Lambert Academic Publishing.
    Modern generally accepted models of the growth of knowledge are scrutinized. It is maintained that Thomas Kuhn’s growth of knowledge model is grounded preeminently on Heidegger’s epistemology. To justify the tenet the corresponding works of both thinkers are considered. As a result, the one-to-one correspondence between the key propositions of Heideggerian epistemology and the basic tenets of Kuhn’s growth of knowledge model is elicited. The tenets under consideration include the holistic nature of a paradigm, the incommensurability (...)
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  17. Connectionist models of mind: scales and the limits of machine imitation.Pavel Baryshnikov - 2020 - Philosophical Problems of IT and Cyberspace 2 (19):42-58.
    This paper is devoted to some generalizations of explanatory potential of connectionist approaches to theoretical problems of the philosophy of mind. Are considered both strong, and weaknesses of neural network models. Connectionism has close methodological ties with modern neurosciences and neurophilosophy. And this fact strengthens its positions, in terms of empirical naturalistic approaches. However, at the same time this direction inherits weaknesses of computational approach, and in this case all system of anticomputational critical arguments becomes applicable to the connectionst (...)
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  18. Klein and Loftus's model of trait self-knowledge: The importance of familiarizing oneself with the foundational research prior to reading about its neuropsychological applications.Stan Klein - 2013 - Frontiers in Human Neuroscience 7:1-3.
    In this article I want to alert investigators who are familiar only with our neuropsychological investigations of self-knowledge to our earlier work on model construction. A familiarity with this foundational research can help avert concerns and issues likely to arise if one is aware only of neuropsychological extensions of our work.
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  19. Gul A. Agha, Actors: A Model of Concurrent Computation in Distributed Systems[REVIEW]Varol Akman - 1990 - AI Magazine 11 (4):92-93.
    This is a review of Gul A. Agha’s Actors: A Model of Concurrent Computation in Distributed Systems (The MIT Press, Cambridge, MA, 1987), a part of the MIT Press Series in Artificial Intelligence, edited by Patrick Winston, Michael Brady, and Daniel Bobrow.
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  20. Socratic Wisdom: The Model of Knowledge in Plato’s Early Dialogues.Alexander Nehamas - 2001 - Mind 110 (439):717-721.
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  21. Exploration and exploitation of Victorian science in Darwin’s reading notebooks.Jaimie Murdock, Colin Allen & Simon DeDeo - 2017 - Cognition 159 (C):117-126.
    Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify (...)
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  22. Axiomatic Foundations for Metrics of Distributive Justice Shown by the Example of Needs-Based Justice.Alexander Max Bauer - 2017 - Forsch! 3 (1):43-60.
    Distributive justice deals with allocations of goods and bads within a group. Different principles and results of distributions are seen as possible ideals. Often those normative approaches are solely framed verbally, which complicates the application to different concrete distribution situations that are supposed to be evaluated in regard to justice. One possibility in order to frame this precisely and to allow for a fine-grained evaluation of justice lies in formal modelling of these ideals by metrics. Choosing a metric that is (...)
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  23.  22
    Exploiting the In-Distribution Embedding Space with Deep Learning and Bayesian inference for Detection and Classification of an Out-of-Distribution Malware (Extended Abstract).Tosin Ige - forthcoming - Aaai Conference.
    Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network with maximum (...)
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  24. Mental models of force and motion.Varol Akman, Deniz Ede, William Randolph Franklin & Paul J. W. ten Hagen - 1990 - In Okyay Kaynak (ed.), Proceedings of the IEEE International Workshop on Intelligent Motion Control (Istanbul, 20-22 August 1990). Institute of Electrical and Electronics Engineers. pp. 153-158.
    Future robots should have common sense about the world in order to handle the problems they will encounter. A large part of this commonsense knowledge must be naive physics knowledge, since carrying out even the simplest everyday chores requires familiarity with physics laws. But how should one start codifying this knowledge? What kind of skills should be elicited from the experts (each and every one of us)? This paper will attempt to provide some hints by studying the (...)
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  25. Aristotle's Syllogistic Model of Knowledge and the Biological Sciences: Demonstrating Natural Processes.Mariska Leunissen - 2010 - Apeiron 43 (2-3):31-60.
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  26. The logic of distributive bilattices.Félix Bou & Umberto Rivieccio - 2011 - Logic Journal of the IGPL 19 (1):183-216.
    Bilattices, introduced by Ginsberg as a uniform framework for inference in artificial intelligence, are algebraic structures that proved useful in many fields. In recent years, Arieli and Avron developed a logical system based on a class of bilattice-based matrices, called logical bilattices, and provided a Gentzen-style calculus for it. This logic is essentially an expansion of the well-known Belnap–Dunn four-valued logic to the standard language of bilattices. Our aim is to study Arieli and Avron’s logic from the perspective of abstract (...)
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  27. Dismantling the deficit model of science communication using Ludwik Fleck’s theory of thinking collectives.Victoria M. Wang - forthcoming - In Jonathan Y. Tsou, Shaw Jamie & Carla Fehr (eds.), Values, Pluralism, and Pragmatism: Themes from the Work of Matthew J. Brown. Cham: Boston Studies in the Philosophy and History of Science. Springer.
    Numerous societal issues, from climate change to pandemics, require public engagement with scientific research. Such engagement reveals challenges that can arise when experts communicate with laypeople. One of the most common frameworks for framing these communicative interactions is the deficit model of science communication, which holds that laypeople lack scientific knowledge and/or positive attitudes towards science, and that imparting knowledge will fill knowledge gaps, lead to desirable attitude/behavior changes, and increase trust in science. §1 introduces the deficit (...)
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  28. A New Probabilistic Explanation of the Modus Ponens–Modus Tollens Asymmetry.Stephan Hartmann, Benjamin Eva & Henrik Singmann - 2019 - In Stephan Hartmann, Benjamin Eva & Henrik Singmann (eds.), CogSci 2019 Proceedings. Montreal, Québec, Kanada: pp. 289–294.
    A consistent finding in research on conditional reasoning is that individuals are more likely to endorse the valid modus ponens (MP) inference than the equally valid modus tollens (MT) inference. This pattern holds for both abstract task and probabilistic task. The existing explanation for this phenomenon within a Bayesian framework (e.g., Oaksford & Chater, 2008) accounts for this asymmetry by assuming separate probability distributions for both MP and MT. We propose a novel explanation within a computational-level Bayesian account of reasoning (...)
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  29. Trade-offs in exploiting body morphology for control: From simple bodies and model-based control to complex ones with model-free distributed control schemes.Matej Hoffmann & Vincent C. Müller - 2014 - In Helmut Hauser, Rudolf M. Füchslin & Rolf Pfeifer (eds.), Opinions and Outlooks on Morphological Computation. E-Book. pp. 185-194.
    Tailoring the design of robot bodies for control purposes is implicitly performed by engineers, however, a methodology or set of tools is largely absent and optimization of morphology (shape, material properties of robot bodies, etc.) is lag- ging behind the development of controllers. This has become even more prominent with the advent of compliant, deformable or "soft" bodies. These carry substantial potential regarding their exploitation for control – sometimes referred to as "mor- phological computation" in the sense of offloading computation (...)
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  30. A Formal Model of Metaphor in Frame Semantics.Vasil Penchev - 2015 - In Proceedings of the 41st Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour. New York: Curran Associates, Inc.. pp. 187-194.
    A formal model of metaphor is introduced. It models metaphor, first, as an interaction of “frames” according to the frame semantics, and then, as a wave function in Hilbert space. The practical way for a probability distribution and a corresponding wave function to be assigned to a given metaphor in a given language is considered. A series of formal definitions is deduced from this for: “representation”, “reality”, “language”, “ontology”, etc. All are based on Hilbert space. A few statements about (...)
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  31. Higher-level Knowledge, Rational and Social Levels Constraints of the Common Model of the Mind.Antonio Lieto, William G. Kennedy, Christian Lebiere, Oscar Romero, Niels Taatgen & Robert West - forthcoming - Procedia Computer Science.
    In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve (...)
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  32. Modelling of Generancy A Logical Solution.Deapon Biswas - 2021 - Chisinau, Republic of Moldova: Scholars’ Press. Edited by Mihaela Melnic.
    Modelling of Generancy is a book on Indian philosophy. In this book I have tried to express various problems of philosophy in mathematical language. I think mathematics is a language. Everything can be expressed in this language. With the help of mathematics, the published issues are understandable to all. No one has any objection to this. In the realm of knowledge all terms or words are considered categories. This category is again of three types: substance, quality and action. In (...)
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  33. Mathematical models of games of chance: Epistemological taxonomy and potential in problem-gambling research.Catalin Barboianu - 2015 - UNLV Gaming Research and Review Journal 19 (1):17-30.
    Games of chance are developed in their physical consumer-ready form on the basis of mathematical models, which stand as the premises of their existence and represent their physical processes. There is a prevalence of statistical and probabilistic models in the interest of all parties involved in the study of gambling – researchers, game producers and operators, and players – while functional models are of interest more to math-inclined players than problem-gambling researchers. In this paper I present a (...)
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  34. Hypothetical Insurance and Higher Education.Ben Colburn & Hugh Lazenby - 2016 - Journal of Philosophy of Education 50 (4):587-604.
    What level of government subsidy of higher education is justified, in what form, and for what reasons? We answer these questions by applying the hypothetical insurance approach, originally developed by Ronald Dworkin in his work on distributive justice. On this approach, when asking how to fund and deliver public services in a particular domain, we should seek to model what would be the outcome of a hypothetical insurance market: we stipulate that participants lack knowledge about their specific resources and (...)
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  35. The Influence of Social Knowledge on Consumer Decision-Making Process.Sidharta Chatterjee & Mousumi Samanta - 2021 - IUP Journal of Knowledge Management 19 (4):41-50.
    This paper is an attempt to understand how social knowledge affects human economic decision making. The paper discusses the nature of social knowledge in today’s context with special reference to how social knowledge influences consumers’ sentiments and their economic decisions. Social networks are being continuously flooded with various kinds of information and disinformation. Some of the information becomes knowledge for social network users who browse various kinds of content that are either entertaining or related to products (...)
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  36. Leibniz on Rational Decision-Making.Markku Roinila - 2007 - Dissertation, University of Helsinki
    In this study I discuss G. W. Leibniz's (1646-1716) views on rational decision-making from the standpoint of both God and man. The Divine decision takes place within creation, as God freely chooses the best from an infinite number of possible worlds. While God's choice is based on absolutely certain knowledge, human decisions on practical matters are mostly based on uncertain knowledge. However, in many respects they could be regarded as analogous in more complicated situations. In addition to giving (...)
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  37. A categorical model of the Elementary Process Theory incorporating Special Relativity.Marcoen J. T. F. Cabbolet - 2022 - In And now for something completely different: the Elementary Process Theory. Revised, updated and extended 2nd edition of the dissertation with almost the same title. Utrecht: Eburon Academic Publishers. pp. 399-452.
    The purpose of this paper is to show that the Elementary Process Theory (EPT) agrees with the knowledge of the physical world obtained from the successful predictions of Special Relativity (SR). For that matter, a recently developed method is applied: a categorical model of the EPT that incorporates SR is fully specified. Ultimate constituents of the universe of the EPT are modeled as point-particles, gamma-rays, or time-like strings, all represented by integrable hyperreal functions on Minkowski space. This proves that (...)
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  38. W poszukiwaniu ontologicznych podstaw prawa. Arthura Kaufmanna teoria sprawiedliwości [In Search for Ontological Foundations of Law: Arthur Kaufmann’s Theory of Justice].Marek Piechowiak - 1992 - Instytut Nauk Prawnych PAN.
    Arthur Kaufmann is one of the most prominent figures among the contemporary philosophers of law in German speaking countries. For many years he was a director of the Institute of Philosophy of Law and Computer Sciences for Law at the University in Munich. Presently, he is a retired professor of this university. Rare in the contemporary legal thought, Arthur Kaufmann's philosophy of law is one with the highest ambitions — it aspires to pinpoint the ultimate foundations of law by explicitly (...)
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  39. Bolzano a priori knowledge, and the Classical Model of Science.Sandra Lapointe - 2010 - Synthese 174 (2):263-281.
    This paper is aimed at understanding one central aspect of Bolzano's views on deductive knowledge: what it means for a proposition and for a term to be known a priori. I argue that, for Bolzano, a priori knowledge is knowledge by virtue of meaning and that Bolzano has substantial views about meaning and what it is to know the latter. In particular, Bolzano believes that meaning is determined by implicit definition, i.e. the fundamental propositions in a deductive (...)
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  40. A Mathematical Model of Divine Infinity.Eric Steinhart - 2009 - Theology and Science 7 (3):261-274.
    Mathematics is obviously important in the sciences. And so it is likely to be equally important in any effort that aims to understand God in a scientifically significant way or that aims to clarify the relations between science and theology. The degree to which God has any perfection is absolutely infinite. We use contemporary mathematics to precisely define that absolute infinity. For any perfection, we use transfinite recursion to define an endlessly ascending series of degrees of that perfection. That series (...)
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  41. Towards an Ontological Modelling of Preference Relations.Daniele Porello & Giancarlo Guizzardi - 2018 - In C. Ghidini, B. Magnini, A. Passerini & P. Traverso (eds.), AI*IA 2018 - Advances in Artificial Intelligence - XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20-23, 2018, Proceedings. Springer. pp. 152--165.
    Preference relations are intensively studied in Economics, but they are also approached in AI, Knowledge Representation, and Conceptual Modelling, as they provide a key concept in a variety of domains of application. In this paper, we propose an ontological foundation of preference relations to formalise their essential aspects across domains. Firstly, we shall discuss what is the ontological status of the relata of a preference relation. Secondly, we investigate the place of preference relations within a rich taxonomy of relations (...)
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  42. Two Paradoxes of Common Knowledge: Coordinated Attack and Electronic Mail.Harvey Lederman - 2018 - Noûs 52 (4):921-945.
    The coordinated attack scenario and the electronic mail game are two paradoxes of common knowledge. In simple mathematical models of these scenarios, the agents represented by the models can coordinate only if they have common knowledge that they will. As a result, the models predict that the agents will not coordinate in situations where it would be rational to coordinate. I argue that we should resolve this conflict between the models and facts about what (...)
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  43. (1 other version)The unity of science and the unification of all knowledge.Jin Ma - manuscript
    This paper presents The Unity of Science by answering four fundamental concerns about nature: 1) The ultimate property of everything— the intrinsicality of nature is not only logicality, but also logicality’s non-absoluteness; 2) The ultimate impact of everything— the “General Impact of Nature” (GIN) is what can explain mental processes physically; 3) The proto-structure of everything— the “architect of everything” is with two three-point group concepts; 4) One architecture to host everything— the “general model of nature” provided a whole picture (...)
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  44. Who’s afraid of common knowledge?Giorgio Sbardolini - 2024 - Philosophical Studies 181 (4):859-877.
    Some arguments against the assumption that ordinary people may share common knowledge are sound. The apparent cost of such arguments is the rejection of scientific theories that appeal to common knowledge. My proposal is to accept the arguments without rejecting the theories. On my proposal, common knowledge is shared by ideally rational people, who are not just mathematically simple versions of ordinary people. They are qualitatively different from us, and theorizing about them does not lead to predictions (...)
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  45. Consensus-Based Data Management within Fog Computing For the Internet of Things.Al-Doghman Firas Qais Mohammed Saleh - 2019 - Dissertation, University of Technology Sydney
    The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This (...)
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  46. Conceptions of Genuine Knowledge in Wang Yangming.Harvey Lederman - 2023 - Oxford Studies in Epistemology 7.
    This paper studies one aspect of the great Ming dynasty philosopher Wang Yangming’s (王陽明 1472-1529) celebrated doctrine of the unity of knowledge and action (zhi xing he yi 知行合一). Wang states that his doctrine does not apply to all knowledge, but only to an elevated form of knowledge, which he sometimes calls “genuine knowledge” (zhen zhi 真知). But what is “genuine knowledge”? I develop and compare four different interpretations of this notion: the perceptual, practical, normative (...)
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  47. Mental vs. Embodied Models of Mirrored Self-Recognition: Some Preliminary Considerations.John L. Schwenkler - 2008 - In B. Hardy-Valeé & N. Payette (eds.), Beyond the Brain: Embodied, Situated, and Distributed Cognition. Cambridge Scholars Press.
    A considerable body of recent work in developmental psychology and animal behavior has addressed the cognitive processes required to recognize oneself in a mirror. Most models of such "mirrored self-recognition" (MSR) treat it as the result of inferential processes drawing on the subject’s possession of some sort of mature "self-awareness". The present chapter argues that such an approach to MSR is not obligatory, and suggests some empirical grounds for rejecting it. We also sketch the outlines of an alternative, "embodied" (...)
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  48. Goal → New Heuristic Model of Ideality: Logos → Coincidentia Oppositorum → Primordial Generating Structure.Vladimir Rogozhin - 2017 - Contest FQXi Essay 2017.
    Fundamental knowledge endures deep conceptual crisis manifested in total crisis of understanding, crisis of interpretation and representation, loss of certainty, troubles with physics, crisis of methodology. Crisis of understanding in fundamental science generates deep crisis of understanding in global society. What way should we choose for overcoming total crisis of understanding in fundamental science? It should be the way of metaphysical construction of new comprehensive model of ideality on the basis of the "modified ontology". Result of quarter-century wanderings: sum (...)
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  49. Static and dynamic vector semantics for lambda calculus models of natural language.Mehrnoosh Sadrzadeh & Reinhard Muskens - 2018 - Journal of Language Modelling 6 (2):319-351.
    Vector models of language are based on the contextual aspects of language, the distributions of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, compositional properties of words and how they compose to form sentences. In the truth conditional approach, the denotation of a sentence determines its truth conditions, which can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In the (...)
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  50. (1 other version)The Problem of Rational Knowledge.Mark Jago - 2013 - Erkenntnis (S6):1-18.
    Real-world agents do not know all consequences of what they know. But we are reluctant to say that a rational agent can fail to know some trivial consequence of what she knows. Since every consequence of what she knows can be reached via chains of trivial cot be dismissed easily, as some have attempted to do. Rather, a solution must give adequate weight to the normative requirements on rational agents’ epistemic states, without treating those agents as mathematically ideal reasoners. I’ll (...)
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