Results for ' Ontology, compositional semantics, commonsense knowledge, reasoning'

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  1.  33
    Commonsense Knowledge, Ontology and Ordinary Language.Walid Saba - 2010 - International Journal of Reasoning-Based Intelligent Systems 2 (1):36 - 50.
    Over two decades ago a "quite revolution" overwhelmingly replaced knowledgebased approaches in natural language processing (NLP) by quantitative (e.g., statistical, corpus-based, machine learning) methods. Although it is our firm belief that purely quantitative approaches cannot be the only paradigm for NLP, dissatisfaction with purely engineering approaches to the construction of large knowledge bases for NLP are somewhat justified. In this paper we hope to demonstrate that both trends are partly misguided and that the time has come to enrich logical semantics (...)
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  2. Logical Semantics and Commonsense Knowledge: Where Did we Go Wrong, and How to Go Forward, Again.Walid Saba - manuscript
    We argue that logical semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts: ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of and relations between objects of various ontological types. We will then show that accounting for these differences amounts to the integration of lexical and compositional semantics in one coherent framework, and to an embedding in our logical semantics (...)
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  3. Language and its commonsense: Where formal semantics went wrong, and where it can (and should) go.Walid Saba - 2020 - Journal of Knowledge Structures and Systems 1 (1):40-62.
    Abstract The purpose of this paper is twofold: (i) we will argue that formal semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts, namely ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of, and relations between, objects of various ontological types; and (ii) we show that accounting for these differences amounts to a new formal semantics; one that integrates lexical and (...)
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  4. Human-like Knowledge Invention: A Non Monotonic Reasoning framework.Antonio Lieto - 2023 - In Model Based Reasoning Conference, 2023, Rome. Springer.
    Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender (...)
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  5.  63
    Language, logic and ontology: Uncovering the structure of commonsense knowledge.Walid Saba -
    The purpose of this paper is twofold: (i) we argue that the structure of commonsense knowledge must be discovered, rather than invented; and (ii) we argue that natural language, which is the best known theory of our (shared) commonsense knowledge, should itself be used as a guide to discovering the structure of commonsense knowledge. In addition to suggesting a systematic method to the discovery of the structure of commonsense knowledge, the method we propose seems to also (...)
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  6. Non classical concept representation and reasoning in formal ontologies.Antonio Lieto - 2012 - Dissertation, Università Degli Studi di Salerno
    Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the search technologies. Here we take into account a problem (...)
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  7. Is semantics computational?Mark Steedman & Matthew Stone - unknown
    Both formal semantics and cognitive semantics are the source of important insights about language. By developing precise statements of the rules of meaning in fragmentary, abstract languages, formalists have been able to offer perspicuous accounts of how we might come to know such rules and use them to communicate with others. Conversely, by charting the overall landscape of interpretations, cognitivists have documented how closely interpretations draw on the commonsense knowledge that lets us make our way in the world. There (...)
     
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  8.  15
    Igor Douven'.Empiricist Semantics - 2000 - In Lieven Decock & Leon Horsten (eds.), Quine. Naturalized Epistemology, Perceptual Knowledge and Ontology. Poznan Studies in the Philosophy of the Sciences and the Humanities, Rodopi. pp. 70--171.
  9. Paraphrase, Semantics, and Ontology.John A. Keller - 2015 - Oxford Studies in Metaphysics 9.
    Paraphrase is ubiquitous in philosophy, especially in discussions about ontological commitment. But should it be? Paraphrases are seldom accompanied by evidence that would convince, say, a linguist that the paraphrase and the paraphrased sentence have the same meaning. Indeed, from the perspective of linguistics, many paraphrases would seem to be nothing but bad jokes. For this reason, many philosophers have become deeply suspicious about paraphrase. I ague in this paper that this worry is misguided--that successful paraphrases do not need to (...)
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  10.  23
    Formal ontologies in biomedical knowledge representation.S. Schulz & L. Jansen - 2013 - In M.-C. Jaulent, C. U. Lehmann & B. Séroussi (eds.), Yearbook of Medical Informatics 8. pp. 132-146.
    Objectives: Medical decision support and other intelligent applications in the life sciences depend on increasing amounts of digital information. Knowledge bases as well as formal ontologies are being used to organize biomedical knowledge and data. However, these two kinds of artefacts are not always clearly distinguished. Whereas the popular RDF(S) standard provides an intuitive triple-based representation, it is semantically weak. Description logics based ontology languages like OWL-DL carry a clear-cut semantics, but they are computationally expensive, and they are often misinterpreted (...)
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  11. The evaluation of ontologies: Toward improved semantic interoperability.Leo Obrst, Werner Ceusters, Inderjeet Mani, Steve Ray & Barry Smith - 2006 - In Chris Baker & Kei H. Cheung (eds.), Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Springer. pp. 139-158.
    Recent years have seen rapid progress in the development of ontologies as semantic models intended to capture and represent aspects of the real world. There is, however, great variation in the quality of ontologies. If ontologies are to become progressively better in the future, more rigorously developed, and more appropriately compared, then a systematic discipline of ontology evaluation must be created to ensure quality of content and methodology. Systematic methods for ontology evaluation will take into account representation of individual ontologies, (...)
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  12.  88
    (Implicit) Knowledge, reasons, and semantic understanding.Natalia Waights Hickman - 2021 - Mind and Language 36 (5):707-728.
    This paper exploits recent work on the normative and constitutive roles of knowledge in practical rationality, to put pressure on the idea that speakers could communicate without exploiting linguistic knowledge. I defend cognitivism about meaning, the view that speakers have rationally accessible (i.e., implicit rather than tacit) knowledge of semantic facts and principles, and that this knowledge is constitutive of their linguistic competence.
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  13. Biomedical Terminologies and Ontologies: Enabling Biomedical Semantic Interoperability and Standards in Europe.Bernard de Bono, Mathias Brochhausen, Sybo Dijkstra, Dipak Kalra, Stephan Keifer & Barry Smith - 2009 - In Bernard de Bono, Mathias Brochhausen, Sybo Dijkstra, Dipak Kalra, Stephan Keifer & Barry Smith (eds.), European Large-Scale Action on Electronic Health.
    In the management of biomedical data, vocabularies such as ontologies and terminologies (O/Ts) are used for (i) domain knowledge representation and (ii) interoperability. The knowledge representation role supports the automated reasoning on, and analysis of, data annotated with O/Ts. At an interoperability level, the use of a communal vocabulary standard for a particular domain is essential for large data repositories and information management systems to communicate consistently with one other. Consequently, the interoperability benefit of selecting a particular O/T as (...)
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  14.  17
    Quine: Naturalized Epistemology, Perceptual Knowledge and Ontology.Lieven Decock & Leon Horsten (eds.) - 2000 - Poznan Studies in the Philosophy of the Sciences and the Humanities, Rodopi.
    Contents: Introduction. NATURALIZED EPISTEMOLOGY. Ton DERKSEN: Naturalistic Epistemology, Murder and Suicide? But what about the Promises! Christopher HOOKWAY: Naturalism and Rationality. Mia GOSSELIN: Quine's Hypothetical Theory of Language Learning. A Comparison of Different Conceptual Schemes of Their Logic. THE NATURE OF PERCEPTUAL KNOWLEDGE. Jaap van BRAKEL: Quine and Innate Similarity Spaces. Dirk KOPPELBERG: Quine and Davidson on the Structure of Empirical Knowledge. Eva PICARDI: Empathy and Charity. ONTOLOGY. Sandra LAUGIER: Quine: Indeterminacy, ‘Robust Realism', and Truth. Roger VERGAUWEN: Quine and Putnam (...)
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  15. An Explainable Affective Recommender based on the Commonsense Reasoning Framework TCL.Antonio Lieto - 2022 - AISC 2022.
    In this work we present an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework (i.e. the TCL logic, see Lieto & Pozzato 2020) which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base (see also Lieto et al. 2019, Chiodino et al. 2020 for other applications). In particular, in order to model human-like forms (...)
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  16.  18
    Functional and Structural Integration without Competence Overstepping in Structured Semantic Knowledge Base System.Marek Krótkiewicz & Krystian Wojtkiewicz - 2014 - Journal of Logic, Language and Information 23 (3):331-345.
    Logic, language and information integration is one of areas broadly explored nowadays and at the same time promising. Authors use that approach in their 8 years long research into Structured Semantic Knowledge Base System. The aim of this paper is to present authors idea of system capable of generating synergy effect while storing various type of information. The key assumption, which has been adopted, is the thesis that the attempt to find universal way of the reality description is very inefficient (...)
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  17.  41
    A note on ontology and ordinary language.Walid Saba - manuscript
    We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it. Assuming such a structure we show that the semantics of various natural language phenomena may become nearly trivial.
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  18.  65
    A Compositional Semantics for 'If Then' Conditionals.Mathieu Vidal - 2016 - In Maxime Amblard, Philippe de Groote, Sylvain Pogodalla & Christian Rétoré (eds.), Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016). Berlin, Germany: Springer. pp. 291-307.
    This paper presents the first compositional semantics for if then conditionals. The semantics of each element are first examined separately. The meaning of if is modeled according to a possible worlds semantics. The particle then is analyzed as an anaphoric word that places its focused element inside the context settled by a previous element. Their meanings are subsequently combined in order to provide a formal semantics of if A then C conditionals, which differs from the simple if A, C (...)
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  19.  22
    A Note on a Description Logic of Concept and Role Typicality for Defeasible Reasoning Over Ontologies.Ivan Varzinczak - 2018 - Logica Universalis 12 (3-4):297-325.
    In this work, we propose a meaningful extension of description logics for non-monotonic reasoning. We introduce \, a logic allowing for the representation of and reasoning about both typical class-membership and typical instances of a relation. We propose a preferential semantics for \ in terms of partially-ordered DL interpretations which intuitively captures the notions of typicality we are interested in. We define a tableau-based algorithm for checking \ knowledge-base consistency that always terminates and we show that it is (...)
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  20. A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics.Antonio Lieto & Gian Luca Pozzato - 2019 - Journal of Experimental and Theoretical Artificial Intelligence:1-39.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of the (...)
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  21.  35
    Compositional belief update.James Delgrande & Francis Jeffry Pelletier - unknown
    In this paper we explore a class of belief update operators, in which the definition of the operator is compositional with respect to the sentence to be added. The goal is to provide an update operator that is intuitive, in that its definition is based on a recursive decomposition of the update sentence’s structure, and that may be reasonably implemented. In addressing update, we first provide a definition phrased in terms of the models of a knowledge base. While this (...)
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  22.  17
    The Semantics-Pragmatics Interface.Philippe Schlenker - 2016 - In Maria Aloni & Paul Dekker (eds.), Formal Semantics. Cambridge University Press. pp. 664 - 727.
    The informational content conveyed by utterances has two sources:meaning as it is encoded in words and rules of semantic composition (often called literal or semantic meaning) and further inferences that may be obtained by reasoning on the speaker's motives (the conjunction of these inferences with the literal meaning is often called the strengthened or pragmatic meaning of the sentence). While in simple cases the difference can seem obvious enough, in general this is not so, and the investigation of the (...)
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  23. Towards a type-theoretical account of lexical semantics.Christian Bassac, Bruno Mery & Christian Retoré - 2010 - Journal of Logic, Language and Information 19 (2):229-245.
    After a quick overview of the field of study known as “Lexical Semantics”, where we advocate the need of accessing additional information besides syntax and Montague-style semantics at the lexical level in order to complete the full analysis of an utterance, we summarize the current formulations of a well-known theory of that field. We then propose and justify our own model of the Generative Lexicon Theory, based upon a variation of classical compositional semantics, and outline its formalization. Additionally, we (...)
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  24.  18
    Compositional Semantics and Normative ‘Ought’.Joanna Klimczyk - 2021 - Axiomathes 31 (3):381-399.
    According to the paradigm view in linguistics and philosophical semantics, it is lexical semantics plus the principle of compositionality that allows us to compute the meaning of an arbitrary sentence. The job of LS is to assign meaning to individual expressions, whereas PC says how to combine these individual meanings into larger ones. In this paper I argue that the pair LS + PC fails to account for the discourse-relevant meaning of normative ‘ought’. If my hypothesis is tenable, then the (...)
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  25.  4
    Local Models Semantics, or contextual reasoning=locality+compatibility☆☆This paper is a substantially revised and extended version of a paper with the same title presented at the 1998 Knowledge Representation and Reasoning Conference (KR'98). The order of the names is alphabetical. [REVIEW]Chiara Ghidini & Fausto Giunchiglia - 2001 - Artificial Intelligence 127 (2):221-259.
  26. Ontological theory for ontological engineering: Biomedical systems information integration.James M. Fielding, Jonathan Simon, Werner Ceusters & Barry Smith - 2004 - In Fielding James M., Simon Jonathan, Ceusters Werner & Smith Barry (eds.), Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), Whistler, BC, 2-5 June 2004. pp. 114–120.
    Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such (...)
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  27.  61
    Preferential Semantics for Plausible Subsumption in Possibility Theory.Guilin Qi & Zhizheng Zhang - 2013 - Minds and Machines 23 (1):47-75.
    Handling exceptions in a knowledge-based system is an important issue in many application domains, such as medical domain. Recently, there is an increasing interest in nonmonotonic extension of description logics to handle exceptions in ontologies. In this paper, we propose three preferential semantics for plausible subsumption to deal with exceptions in description logic-based knowledge bases. Our preferential semantics are defined in the framework of possibility theory, which is an uncertainty theory devoted to handling incomplete information. We consider the properties of (...)
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  28.  22
    The ethics of conceptual, ontological, semantic and knowledge modeling.Robert J. Rovetto - 2023 - AI and Society:1-22.
    The ethics of artificial intelligence (AI) is a research topic with both theoretical and practical significance. However, the ethical and moral aspects of conceptual, ontological, semantic, and knowledge modeling, more specifically, and which are sometimes found in AI applications, is not being given sufficient attention. I argue that it should. Whether considering using or developing these meaning-focused models, there are ethical aspects. This paper offers a preliminary outline about this potentially new research field, discussing: some questions and areas of concern, (...)
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  29.  64
    A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data.Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan & Jiaxuan He - 2020 - Complexity 2020:1-17.
    The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of intelligent (...)
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  30. The Semantic Shuffle: Shifting Emphasis in Dretske's Account of Representational Content.David Sturdee - 1997 - Erkenntnis 47 (1):89-103.
    In Knowledge and the Flow of Information, Fred Dretske explains representational content by appealing to natural indication: a mental representation has its content in virtue of being a reliable natural indicator of a particular type of state of the world. His account fails for several reasons, not the least of which is that it cannot account for misrepresentation. Recognizing this, Dretske adds a twist in his more recent work on representational content (sketched in 'Misrepresentation' and elaborated in Explaining Behavior): a (...)
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  31. Ontological aspects of measurement.Holger Andreas - 2008 - Axiomathes 18 (3):379-394.
    The concept of measurement is fundamental to a whole range of different disciplines, including not only the natural and engineering sciences, but also laboratory medicine and certain branches of the social sciences. This being the case, the concept of measurement has a particular relevance to the development of top-level ontologies in the area of knowledge engineering. For this reason, the present paper is concerned with ontological aspects of measurement. We are searching for a list of concepts that are apt to (...)
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  32. Space as a Semantic Unit of a Language Consciousness.Vitalii Shymko & Anzhela Babadzhanova - 2020 - Psycholinguistics 27 (1):335-350.
    Objective. Conceptualization of the definition of space as a semantic unit of language consciousness. -/- Materials & Methods. A structural-ontological approach is used in the work, the methodology of which has been tested and applied in order to analyze the subject matter area of psychology, psycholinguistics and other social sciences, as well as in interdisciplinary studies of complex systems. Mathematical representations of space as a set of parallel series of events (Alexandrov) were used as the initial theoretical basis of the (...)
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  33.  29
    Problems of context and knowledge.Jacques Jayez - 1989 - Argumentation 3 (3):303-319.
    In spite of alleged differences in purpose, descriptive and computational linguistics share many problems, due to the fact that any precise study on language needs some form of knowledge representation. This constraint is mostly apparent when interpretation of sentences takes into account elements of the so-called “context”. The parametrization of context, i.e. the explicit listing of features relevant to some intepretation task, is difficult because it requires flexible formal structures for understanding or simulating inferential behaviour, as well as a large (...)
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  34. Mario Bunge.Semantics To Ontology - 1974 - In Edgar Morscher, Johannes Czermak & Paul Weingartner (eds.), Problems in Logic and Ontology. Akadem. Druck- U. Verlagsanst..
  35.  13
    Primary reasons: From radical interpretation to a pure anomalism of the mental.Gerhard Preyer - 2000 - ProtoSociology 14:158-179.
    The paper gives a reconstruction of Donald Davidson’s theory of primary reasons in the context of the unified theory of meaning and action and its ontology of individual events. This is a necessary task to understand this philosophy of language and action because since his article “Actions, Reasons, and Causes” he has developed and modified his proposal on describing and explaining actions. He has expanded the “unified theory” to a composite theory of beliefs and desires as a total theory of (...)
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  36. Structural representation and surrogative reasoning.Chris Swoyer - 1991 - Synthese 87 (3):449 - 508.
    It is argued that a number of important, and seemingly disparate, types of representation are species of a single relation, here called structural representation, that can be described in detail and studied in a way that is of considerable philosophical interest. A structural representation depends on the existence of a common structure between a representation and that which it represents, and it is important because it allows us to reason directly about the representation in order to draw conclusions about the (...)
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  37.  24
    The Structure of Commonsense Knowledge.Walid S. Saba - 2006 - In Paolo Valore (ed.), Topics on General and Formal Ontology. Polimetrica International Scientific Publisher. pp. 221.
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  38.  79
    Johannes Sharpe's ontology and semantics: Oxford realism revisited.Alessandro Conti - 2005 - Vivarium 43 (1):156-186.
    The German Johannes Sharpe is the most important and original author of the so called "Oxford Realists": his semantic and metaphysical theories are the end product of the two main medieval philosophical traditions, realism and nominalism, for he contributed to the new form of realism inaugurated by Wyclif, but was receptive to many nominalist criticisms. Starting from the main thesis of Wyclif's metaphysics, that the universal and individual are really identical but formally distinct, Oxford Realists introduced a new type of (...)
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  39.  82
    Inference on the Low Level: An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition.Hannes Leitgeb - 2004 - Kluwer Academic Publishers.
    This monograph provides a new account of justified inference as a cognitive process. In contrast to the prevailing tradition in epistemology, the focus is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to (...)
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  40.  10
    Granular knowledge and rational approximation in general rough sets – I.A. Mani - 2024 - Journal of Applied Non-Classical Logics 34 (2-3):294-329.
    Rough sets are used in numerous knowledge representation contexts and are then empowered with varied ontologies. These may be intrinsically associated with ideas of rationality under certain conditions. In recent papers, specific granular generalisations of graded and variable precision rough sets are investigated by the present author from the perspective of rationality of approximations (and the associated semantics of rationality in approximate reasoning). The studies are extended to ideal-based approximations (sometimes referred to as subsethood-based approximations). It is additionally shown (...)
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  41. Knowledge re-combination and invention as key features for commonsense reasoning and computational creativity research.Antonio Lieto - 2020 - In ECAI 2020 Worskhop "ARTIFICIAL AND HUMAN INTELLIGENCE FORMAL AND COGNITIVE FOUNDATIONS FOR HUMAN-CENTRED COMPUTING".
    Dynamic conceptual reframing represents a crucial mechanism employed by humans, and partially by other animal species, to generate novel knowledge used to solve complex goals. In this talk, I will present a reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion [1]. The proposed approach has been tested both in the task of goal-driven concept (...)
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  42. Commonsense Metaphysics and Lexical Semantics.Jerry R. Hobbs, William Croft, Todd Davies, Douglas Edwards & Kenneth Laws - 1987 - Computational Linguistics 13 (3&4):241-250.
    In the TACITUS project for using commonsense knowledge in the understanding of texts about mechanical devices and their failures, we have been developing various commonsense theories that are needed to mediate between the way we talk about the behavior of such devices and causal models of their operation. Of central importance in this effort is the axiomatization of what might be called commonsense metaphysics. This includes a number of areas that figure in virtually every domain of discourse, (...)
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  43.  42
    Probabilistic Approaches to Vagueness and Semantic Competency.Peter R. Sutton - 2018 - Erkenntnis 83 (4):711-740.
    Wright holds that the following two theses are jointly incoherent: Rules determine correct language use. These rules are discoverable via internal reflection on language use. I argue that incoherence is derivable from alone and examine two types of probabilistic accounts that model a modification of, one in terms of inexact knowledge, the other in terms of viewing semantic rules as reasons for linguistic actions. Both accommodate tolerance by breaking the link between justified assertion and truth, but incoherence threatens their conception (...)
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  44.  26
    Composable Relations Induced in Networks of Aligned Ontologies: A Category Theoretic Approach.Seremeti Lambrini & Kameas Achilles - 2015 - Axiomathes 25 (3):285-311.
    A network of aligned ontologies is a distributed system, whose components are interacting and interoperating, the result of this interaction being, either the extension of local assertions, which are valid within each individual ontology, to global assertions holding between remote ontology syntactic entities through a network path, or to local assertions holding between local entities of an ontology, but induced by remote ontologies, through a cycle in the network. The mechanism for achieving this interaction is the composition of relations. In (...)
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  45. πολλαχῶς ἔστι; Plato’s Neglected Ontology.Mohammad Bagher Ghomi - manuscript
    This paper aims to suggest a new approach to Plato’s theory of being in Republic V and Sophist based on the notion of difference and the being of a copy. To understand Plato’s ontology in these two dialogues we are going to suggest a theory we call Pollachos Esti; a name we took from Aristotle’s pollachos legetai both to remind the similarities of the two structures and to reach a consistent view of Plato’s ontology. Based on this theory, when Plato (...)
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  46. Commonsense reasoning as a key feature for dynamic knowledge invention and computational creativity.Antonio Lieto - 2020 - ICAR-MEET 2020.
    Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this talk, I will show how commonsense reasoning plays a crucial role in this respect. In particular, I will present a cognitively inspired reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion. (...)
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  47.  73
    Ontologies of professional legal knowledge as the basis for intelligent IT support for judges.V. R. Benjamins, J. Contreras, P. Casanovas, M. Ayuso, M. Becue, L. Lemus & C. Urios - 2004 - Artificial Intelligence and Law 12 (4):359-378.
    In this paper, we describe the use of legal ontologies as a basis to improve IT support for professional judges. As opposed to most legal ontologies designed so far, which are mostly based on dogmatic and normative knowledge, we emphasize the importance of professional knowledge and experience as an important pillar for constructing the ontology. We describe an intelligent FAQ system for junior judges that intensively use the ontology.
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  48. Interoperability of disparate engineering domain ontologies using Basic Formal Ontology.Thomas J. Hagedorn, Barry Smith, Sundar Krishnamurty & Ian R. Grosse - 2019 - Journal of Engineering Design 31.
    As engineering applications require management of ever larger volumes of data, ontologies offer the potential to capture, manage, and augment data with the capability for automated reasoning and semantic querying. Unfortunately, considerable barriers hinder wider deployment of ontologies in engineering. Key among these is lack of a shared top-level ontology to unify and organise disparate aspects of the field and coordinate co-development of orthogonal ontologies. As a result, many engineering ontologies are limited to their scope, and functionally difficult to (...)
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  49. CRITIQUE OF IMPURE REASON: Horizons of Possibility and Meaning.Steven James Bartlett - 2021 - Salem, USA: Studies in Theory and Behavior.
    PLEASE NOTE: This is the corrected 2nd eBook edition, 2021. ●●●●● _Critique of Impure Reason_ has now also been published in a printed edition. To reduce the otherwise high price of this scholarly, technical book of nearly 900 pages and make it more widely available beyond university libraries to individual readers, the non-profit publisher and the author have agreed to issue the printed edition at cost. ●●●●● The printed edition was released on September 1, 2021 and is now available through (...)
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    The Demonic Body: Demonic Ontology and the Domicile of the Demons in Apuleius and Augustine.Seamus O'Neill - 2017 - In Philosophical Approaches to Demonology. pp. 39-58.
    Peter Lombard lamented the abandonment of Augustine’s position affirming the materiality of demons and the demonic body, since by his time (some 700 years after Augustine), under the influence of the Pseudo-Dionysius, it was generally agreed within the Christian tradition that demons (and angels) are intelligible, disembodied substances. The principles that the cosmos is spatially and materially divided and stratified and that demons share ontologically in the nature of the part that they inhabit allowed figures such as Apuleius, Porphyry, and (...)
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