Results for 'Qualitative reasoning'

978 found
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  1.  27
    On Decidability of a Logic for Order of Magnitude Qualitative Reasoning with Bidirectional Negligibility.Joanna Golinska-Pilarek - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin, Logics in Artificial Intelligence. Springer. pp. 255--266.
    Qualitative Reasoning (QR) is an area of research within Artificial Intelligence that automates reasoning and problem solving about the physical world. QR research aims to deal with representation and reasoning about continuous aspects of entities without the kind of precise quantitative information needed by conventional numerical analysis techniques. Order-of-magnitude Reasoning (OMR) is an approach in QR concerned with the analysis of physical systems in terms of relative magnitudes. In this paper we consider the logic OMR_N (...)
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  2. A Logical Approach To Qualitative Reasoning With 'several'.Paulo Veloso - 2001 - Logique Et Analyse 44.
     
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  3.  46
    Dual tableau for a multimodal logic for order of magnitude qualitative reasoning with bidirectional negligibility.Joanna Golińska-Pilarek & Emilio Munoz-Velasco - 2009 - International Journal of Computer Mathematics 86 (10-11):1707–1718.
    We present a relational proof system in the style of dual tableaux for the relational logic associated with a multimodal propositional logic for order of magnitude qualitative reasoning with a bidirectional relation of negligibility. We study soundness and completeness of the proof system and we show how it can be used for verification of validity of formulas of the logic.
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  4.  45
    Relational approach for a logic for order of magnitude qualitative reasoning with negligibility, non-closeness and distance.Joanna Golinska-Pilarek & Emilio Munoz Velasco - 2009 - Logic Journal of the IGPL 17 (4):375–394.
    We present a relational proof system in the style of dual tableaux for a multimodal propositional logic for order of magnitude qualitative reasoning to deal with relations of negligibility, non-closeness, and distance. This logic enables us to introduce the operation of qualitative sum for some classes of numbers. A relational formalization of the modal logic in question is introduced in this paper, i.e., we show how to construct a relational logic associated with the logic for order-of-magnitude (...) and its dual tableau system which is a validity checker for the modal logic. For that purpose, we define a validity preserving translation of the modal language into relational language. Then we prove that the system is sound and complete with respect to the relational logic defined as well as with respect to the logic for order of magnitude reasoning. Finally, we show that in fact relational dual tableau does more. It can be used for performing the four major reasoning tasks: verification of validity, proving entailment of a formula from a finite set of formulas, model checking, and verification of satisfaction of a formula in a finite model by a given object. (shrink)
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  5.  15
    Qualitative reasoning about physical systems: An introduction.Daniel G. Bobrow - 1984 - Artificial Intelligence 24 (1-3):1-5.
  6.  42
    Model-based and Qualitative Reasoning in Biomedicine.Peter Lucas - unknown
    These are the working notes of the workshop on Model-based and Qualitative Reasoning in Biomedicine, which was held during the European Conference on Artificial Intelligence in Medicine, AIME’03, on 19th October, 2003, in Protaras, Cyprus. The workshop brought together various researchers involved in the development and use of model-based and qualitative reasoning methods in tackling biomedical problems. Much of the biomedical knowledge is essentially model-based, as it is the understanding of the structure and function of biomedical (...)
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  7.  13
    Qualitative reasoning with directional relations.D. Wolter & J. H. Lee - 2010 - Artificial Intelligence 174 (18):1498-1507.
  8.  9
    Qualitative reasoning about relative direction of oriented points.Till Mossakowski & Reinhard Moratz - 2012 - Artificial Intelligence 180-181 (C):34-45.
  9.  22
    Qualitative reasoning about physical systems: A return to roots.Brian C. Williams & Johan de Kleer - 1991 - Artificial Intelligence 51 (1-3):1-9.
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  10.  81
    Somatic Knowledge and Qualitative Reasoning: From Theory to Practice.Richard Siegesmund - 2004 - Journal of Aesthetic Education 38 (4):80.
    In lieu of an abstract, here is a brief excerpt of the content:Somatic Knowledge and Qualitative Reasoning:From Theory to PracticeRichard Siegesmund"Elliot Eisner is a writer to be reckoned with" is how my undergraduate student, Cheyenne, opened her final essay on The Arts and the Creation of Mind. After a semester of using his text in my art education methods class, reckoned seemed an apt word. The dictionary gives the definitions of reckoned as to settle accounts, make calculation, judge, (...)
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  11.  38
    Inference to the best manipulation – a case study of qualitative reasoning in neuropharmacy.Alexander P. M. van den Bosch - 1999 - Foundations of Science 4 (4):483-495.
    How can new drug lead suggestions beinferred from neurophysiological models? This paperaddresses this question based on a case study ofresearch into Parkinson''s disease at the GroningenUniversity Department of Pharmacy. It is argued thatneurophysiological box-and-arrow models can beunderstood as qualitative differential equationmodels. An inference task is defined to helpunderstand and possibly aid the discovery andexplanation of new drug lead suggestions.
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  12.  17
    A flexible logic-based approach to closeness using order of magnitude qualitative reasoning.Alfredo Burrieza, Emilio MuÑoz-Velasco & Manuel Ojeda-Aciego - forthcoming - Logic Journal of the IGPL.
    In this paper, we focus on a logical approach to the important notion of closeness, which has not received much attention in the literature. Our notion of closeness is based on the so-called proximity intervals, which will be used to decide the elements that are close to each other. Some of the intuitions of this definition are explained on the basis of examples. We prove the decidability of the recently introduced multimodal logic for closeness and, then, we show some capabilities (...)
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  13.  38
    Qualitative Research Methods and Evidential Reasoning.Corrado Matta - 2019 - Philosophy of the Social Sciences 49 (5):385-412.
    This article discusses the concept of evidential reasoning in the context of qualitative research methods in the social sciences. A conceptualization of qualitative evidential reasoning is proposed...
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  14.  14
    Efficient algorithms for qualitative reasoning about time.Alfonso Gerevini & Lenhart Schubert - 1995 - Artificial Intelligence 74 (2):207-248.
  15.  48
    Reasoning with Qualitative Velocity: Towards a Hybrid Approach.Joanna Golinska-Pilarek & Emilio Munoz Velasco - 2012 - In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho, Hybrid Artificial Intelligent Systems. Springer. pp. 635--646.
    Qualitative description of the movement of objects can be very important when there are large quantity of data or incomplete information, such as in positioning technologies and movement of robots. We present a first step in the combination of fuzzy qualitative reasoning and quantitative data obtained by human interaction and external devices as GPS, in order to update and correct the qualitative information. We consider a Propositional Dynamic Logic which deals with qualitative velocity and enables (...)
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  16. Logics for Order-of-Magnitude Qualitative Reasoning: Formalizing Negligibility.Manuel Ojeda-Aciego, Emilio Muñoz-Velasco & Alfredo Burrieza - 2018 - In Michał Zawidzki & Joanna Golińska-Pilarek, Ewa Orłowska on Relational Methods in Logic and Computer Science. Cham, Switzerland: Springer Verlag.
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  17.  81
    Qualitative probabilities for default reasoning, belief revision, and causal modeling.Moisés Goldszmidt & Judea Pearl - 1996 - Artificial Intelligence 84 (1-2):57-112.
    This paper presents a formalism that combines useful properties of both logic and probabilities. Like logic, the formalism admits qualitative sentences and provides symbolic machinery for deriving deductively closed beliefs and, like probability, it permits us to express if-then rules with different levels of firmness and to retract beliefs in response to changing observations. Rules are interpreted as order-of-magnitude approximations of conditional probabilities which impose constraints over the rankings of worlds. Inferences are supported by a unique priority ordering on (...)
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  18. Tjeerd B. Jongeling, Teun Koetsier & Evert Wattel, a logical approach to qualitative reasoning with'several'... 15.Vladimir Markin, Dmitry Zaitsev, Imaginary Logic, Lloyd Humberstone, Implicational Converses, Jose M. Mendez, Francisco Salto, Pedro Mendez, Roger Vergauwen & Ray Lam - 2002 - Logique Et Analyse 45:1.
     
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  19.  79
    Abductive reasoning and qualitative research.Martin Lipscomb - 2012 - Nursing Philosophy 13 (4):244-256.
    Abduction, deduction and induction describe forms of reasoning. Deduction and induction are discussed in the nursing literature. However, abduction has been largely neglected by nurse scholars. In this paper it is proposed that abduction may play a part in qualitative data analysis – specifically, in the identification of themes, codes, and categories. Abduction is not, in research, restricted to or associated with any particular methodology. Nevertheless, situating abduction in qualitative research facilitates the identification of three interlinked issues. (...)
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  20.  17
    Generalized possibilistic logic: Foundations and applications to qualitative reasoning about uncertainty.Didier Dubois, Henri Prade & Steven Schockaert - 2017 - Artificial Intelligence 252 (C):139-174.
  21.  15
    Qualitative circuit models in failure analysis reasoning.M. H. Lee - 1999 - Artificial Intelligence 111 (1-2):239-276.
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  22.  43
    A qualitative investigation of mock-jurors' theories of emotion and reason.Matthew Spackman, Jann Belcher, Lauren Cramer & Yohan Delton - 2006 - Cognition and Emotion 20 (5):671-693.
  23. Reasons for endorsing or rejecting ‘self-binding directives’ in bipolar disorder: a qualitative study of survey responses from UK service users.Tania Gergel, Preety Das, Lucy Stephenson, Gareth Owen, Larry Rifkin, John Dawson, Alex Ruck Keene & Guy Hindley - 2021 - The Lancet Psychiatry 8.
    Summary Background Self-binding directives instruct clinicians to overrule treatment refusal during future severe episodes of illness. These directives are promoted as having potential to increase autonomy for individuals with severe episodic mental illness. Although lived experience is central to their creation, service users’ views on self-binding directives have not been investigated substantially. This study aimed to explore whether reasons for endorsement, ambivalence, or rejection given by service users with bipolar disorder can address concerns regarding self-binding directives, decision-making capacity, and human (...)
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  24. Nurses’ ethical reasoning in cases of physical restraint in acute elderly care: a qualitative study.Sabine Goethals, Bernadette Dierckx de Casterlé & Chris Gastmans - 2013 - Medicine, Health Care and Philosophy 16 (4):983-991.
    In their practice, nurses make daily decisions that are ethically informed. An ethical decision is the result of a complex reasoning process based on knowledge and experience and driven by ethical values. Especially in acute elderly care and more specifically decisions concerning the use of physical restraint require a thoughtful deliberation of the different values at stake. Qualitative evidence concerning nurses’ decision-making in cases of physical restraint provided important insights in the complexity of decision-making as a trajectory. However (...)
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  25.  34
    Reasons doctors provide futile treatment at the end of life: a qualitative study.Lindy Willmott, Benjamin White, Cindy Gallois, Malcolm Parker, Nicholas Graves, Sarah Winch, Leonie Kaye Callaway, Nicole Shepherd & Eliana Close - 2016 - Journal of Medical Ethics 42 (8):496-503.
    Objective Futile treatment, which by definition cannot benefit a patient, is undesirable. This research investigated why doctors believe that treatment that they consider to be futile is sometimes provided at the end of a patient9s life. Design Semistructured in-depth interviews. Setting Three large tertiary public hospitals in Brisbane, Australia. Participants 96 doctors from emergency, intensive care, palliative care, oncology, renal medicine, internal medicine, respiratory medicine, surgery, cardiology, geriatric medicine and medical administration departments. Participants were recruited using purposive maximum variation sampling. (...)
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  26. Probing the quantitative–qualitative divide in probabilistic reasoning.Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski & Milan Mossé - 2024 - Annals of Pure and Applied Logic 175 (9):103339.
    This paper explores the space of (propositional) probabilistic logical languages, ranging from a purely `qualitative' comparative language to a highly `quantitative' language involving arbitrary polynomials over probability terms. While talk of qualitative vs. quantitative may be suggestive, we identify a robust and meaningful boundary in the space by distinguishing systems that encode (at most) additive reasoning from those that encode additive and multiplicative reasoning. The latter includes not only languages with explicit multiplication but also languages expressing (...)
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  27.  17
    Reasoning about qualitative temporal information.Peter van Beek - 1992 - Artificial Intelligence 58 (1-3):297-326.
  28.  25
    Qualitative spatial reasoning: The CLOCK project.Kenneth D. Forbus, Paul Nielsen & Boi Faltings - 1991 - Artificial Intelligence 51 (1-3):417-471.
  29.  16
    Combining qualitative and quantitative constraints in temporal reasoning.Itay Meiri - 1996 - Artificial Intelligence 87 (1-2):343-385.
  30.  27
    What reasons do those with practical experience use in deciding on priorities for healthcare resources? A qualitative study.A. Hasman, E. Mcintosh & T. Hope - 2008 - Journal of Medical Ethics 34 (9):658-663.
    Background: Priority setting is necessary in current healthcare services. Discussion of fair process has highlighted the value of developing reasons for allocation decisions on the basis of experience gained from real cases.Aim: To identify the reasons that those with experience of real decision-making concerning resource allocation think relevant in deciding on the priority of a new but expensive drug treatment.Methods: Semistructured interviews with members of committees with responsibility for making resource allocation decisions at a local level in the British National (...)
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  31. Deductive Reasoning Under Uncertainty: A Water Tank Analogy.Guy Politzer - 2016 - Erkenntnis 81 (3):479-506.
    This paper describes a cubic water tank equipped with a movable partition receiving various amounts of liquid used to represent joint probability distributions. This device is applied to the investigation of deductive inferences under uncertainty. The analogy is exploited to determine by qualitative reasoning the limits in probability of the conclusion of twenty basic deductive arguments (such as Modus Ponens, And-introduction, Contraposition, etc.) often used as benchmark problems by the various theoretical approaches to reasoning under uncertainty. The (...)
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  32.  28
    On Qualitative Route Descriptions: Representation, Agent Models, and Computational Complexity.Matthias Westphal, Stefan Wölfl, Bernhard Nebel & Jochen Renz - 2015 - Journal of Philosophical Logic 44 (2):177-201.
    The generation of route descriptions is a fundamental task of navigation systems. A particular problem in this context is to identify routes that can easily be described and processed by users. In this work, we present a framework for representing route networks with the qualitative information necessary to evaluate and optimize route descriptions with regard to ambiguities in them. We identify different agent models that differ in how agents are assumed to process route descriptions while navigating through route networks (...)
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  33.  50
    Modal Logics Based on Mathematical Morphology for Qualitative Spatial Reasoning.Isabelle Bloch - 2002 - Journal of Applied Non-Classical Logics 12 (3):399-423.
    We propose in this paper to construct modal logics based on mathematical morphology. The contribution of this paper is twofold. First we show that mathematical morphology can be used to define modal operators in the context of normal modal logics. We propose definitions of modal operators as algebraic dilations and erosions, based on the notion of adjunction. We detail the particular case of morphological dilations and erosions, and of there compositions, as opening and closing. An extension to the fuzzy case (...)
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  34.  12
    Reasoning with qualitative models.Benjamin J. Kuipers - 1993 - Artificial Intelligence 59 (1-2):125-132.
  35.  13
    Incremental qualitative temporal reasoning: Algorithms for the Point Algebra and the ORD-Horn class.Alfonso Gerevini - 2005 - Artificial Intelligence 166 (1-2):37-80.
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  36.  22
    Qualitative case-based reasoning and learning.Thiago Pedro Donadon Homem, Paulo Eduardo Santos, Anna Helena Reali Costa, Reinaldo Augusto da Costa Bianchi & Ramon Lopez de Mantaras - 2020 - Artificial Intelligence 283 (C):103258.
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  37. Qualitative tools and experimental philosophy.James Andow - 2016 - Philosophical Psychology 29 (8):1128-1141.
    Experimental philosophy brings empirical methods to philosophy. These methods are used to probe how people think about philosophically interesting things such as knowledge, morality, and freedom. This paper explores the contribution that qualitative methods have to make in this enterprise. I argue that qualitative methods have the potential to make a much greater contribution than they have so far. Along the way, I acknowledge a few types of resistance that proponents of qualitative methods in experimental philosophy might (...)
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  38.  9
    A snapshot on reasoning with qualitative preference statements in AI.Carmel Domshlak - 2008 - In Giacomo Della Riccia, Didier Dubois & Hans-Joachim Lenz, Preferences and Similarities. Springer. pp. 265--282.
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  39.  35
    Qualitative and Quantitative Parameters of the Execution of Foreign Policy in the Lithuanian Constitution.Egidijus Jarašiūnas - 2012 - Jurisprudencija: Mokslo darbu žurnalas 19 (3):923-953.
    The present article analyses the qualitative and quantitative parameters of the execution of foreign policy in the Constitution of the Republic of Lithuania. It should be noted that the matters of foreign policy were on the brink of constitutional regulation for a long time. The powers of institutions of the state in the field of foreign relations were established laconically by the Constitutions of first and second “waves” of establishment of constitutionalism. It was argued that the choices of decisions (...)
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  40. A qualitative approach to responsible conduct of research (rcr) training development: Identification of metacognitive strategies.Vykinta Kligyte, Richard T. Marcy, Sydney T. Sevier, Elaine S. Godfrey & Michael D. Mumford - 2008 - Science and Engineering Ethics 14 (1):3-31.
    Although Responsible Conduct of Research (RCR) training is common in the sciences, the effectiveness of RCR training is open to question. Three key factors appear to be particularly important in ensuring the effectiveness of ethics education programs: (1) educational efforts should be tied to day-to-day practices in the field, (2) educational efforts should provide strategies for working through the ethical problems people are likely to encounter in day-to-day practice, and (3) educational efforts should be embedded in a broader program of (...)
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  41.  26
    On the complexity of qualitative spatial reasoning: A maximal tractable fragment of the Region Connection Calculus.Jochen Renz & Bernhard Nebel - 1999 - Artificial Intelligence 108 (1-2):69-123.
  42.  15
    A condensed semantics for qualitative spatial reasoning about oriented straight line segments.Reinhard Moratz, Dominik Lücke & Till Mossakowski - 2011 - Artificial Intelligence 175 (16-17):2099-2127.
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  43.  12
    Spatial and Temporal Reasoning.Oliviero Stock (ed.) - 1997 - Kluwer Academic Publishers.
    Qualitative reasoning about space and time - a reasoning at the human level - promises to become a fundamental aspect of future systems that will accompany us in daily activity. The aim of Spatial and Temporal Reasoning is to give a picture of current research in this area focusing on both representational and computational issues. The picture emphasizes some major lines of development in this multifaceted, constantly growing area. The material in the book also shows some (...)
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  44. Qualitative probabilistic inference under varied entropy levels.Paul D. Thorn & Gerhard Schurz - 2016 - Journal of Applied Logic 19 (2):87-101.
    In previous work, we studied four well known systems of qualitative probabilistic inference, and presented data from computer simulations in an attempt to illustrate the performance of the systems. These simulations evaluated the four systems in terms of their tendency to license inference to accurate and informative conclusions, given incomplete information about a randomly selected probability distribution. In our earlier work, the procedure used in generating the unknown probability distribution (representing the true stochastic state of the world) tended to (...)
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  45. Fundamental non-qualitative properties.Byron Simmons - 2021 - Synthese 198 (7):6183-6206.
    The distinction between qualitative and non-qualitative properties should be familiar from discussions of the principle of the identity of indiscernibles: two otherwise exactly similar individuals, Castor and Pollux, might share all their qualitative properties yet differ with respect to their non-qualitative properties—for while Castor has the property being identical to Castor, Pollux does not. But while this distinction is familiar, there has not been much critical attention devoted to spelling out its precise nature. I argue that (...)
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  46.  13
    Interpolative and extrapolative reasoning in propositional theories using qualitative knowledge about conceptual spaces.Steven Schockaert & Henri Prade - 2013 - Artificial Intelligence 202 (C):86-131.
  47.  14
    Using Behavioural Reasoning Theory to Explore Reasons for Dietary Restriction: A Qualitative Study of Orthorexic Behavioural Tendencies in the UK.Elina Mitrofanova, Elizabeth K. L. Pummell, Hilda M. Mulrooney & Andrea Petróczi - 2021 - Frontiers in Psychology 12.
    Orthorexia Nervosa has gained increased attention in academia since 1997. However, like other “Exia” conditions, there is debate around its inclusion in the Diagnostic and Statistical Manual of Mental Disorders. This study aimed to examine the experiences of those following a diet indicative of ON in the United Kingdom. This information is essential to the development of diagnostic criteria and classification of ON. Behavioural Reasoning Theory was used to explore reasons contributing to the development of ON. Ten individuals, aged (...)
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  48.  12
    Rational Reasoning with Finite Conditional Knowledge Bases: Theoretical and Implementational Aspects.Christian Eichhorn - 2018 - Stuttgart: J.B. Metzler.
    Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn’s Ordinal (...)
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  49.  62
    A qualitative analysis of the lottery equivalents method.Adam Oliver - 2007 - Economics and Philosophy 23 (2):185-204.
    Numerous instruments have been developed to elicit numerical values that represent the strength of preference for different health states. However, relatively few studies have attempted to analyse the reasoning processes that people employ when they are asked to answer questions based on these elicitation methods. The lottery equivalents method is a preference elicitation instrument that has recently received some attention in the literature. This study attempts a qualitative analysis of the use of this instrument on a group of (...)
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  50.  72
    An ATP of a Relational Proof System for Order of Magnitude Reasoning with Negligibility, Non-closeness and Distance.Joanna Golinska-Pilarek, Angel Mora & Emilio Munoz Velasco - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou, PRICAI 2008: Trends in Artificial Intelligence. Springer. pp. 128--139.
    We introduce an Automatic Theorem Prover (ATP) of a dual tableau system for a relational logic for order of magnitude qualitative reasoning, which allows us to deal with relations such as negligibility, non-closeness and distance. Dual tableau systems are validity checkers that can serve as a tool for verification of a variety of tasks in order of magnitude reasoning, such as the use of qualitative sum of some classes of numbers. In the design of our ATP, (...)
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