Search results for "reasoning"

showing 10 items of 371 documents

Closedness properties in team learning of recursive functions

1997

This paper investigates closedness properties in relation with team learning of total recursive functions. One of the first problems solved for any new identification types is the following: “Does the identifiability of classes U1 and U2 imply the identifiability of U1∪U2?” In this paper we are interested in a more general question: “Does the identifiability of every union of n−1 classes out of U1,...,Un imply the identifiability of U1∪...∪Un?” If the answer is positive, we call such identification type n-closed. We show that n-closedness can be equivalently formulated in terms of team learning. After that we find for which n team identification in the limit and team finite identification t…

AlgebraIdentification (information)Mathematical optimizationTeam learningRelation (database)IdentifiabilityLimit (mathematics)Inductive reasoningType (model theory)Priority queueMathematics
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Analogical reasoning and aging: the processing speed and inhibition hypothesis.

2014

This study was designed to investigate the effect of aging on analogical reasoning by manipulating the strength of semantic association (LowAssoc or HighAssoc) and the number of distracters' semantic analogies of the A:B::C:D type and to determine which factors might be responsible for the age-related differences on analogical reasoning by testing two different theoretical frameworks: the inhibition hypothesis and the speed mediation hypothesis. We compared young adults and two groups of aging people (old and old-old) with word analogies of the A:B::C:D format. Results indicate an age-related effect on analogical reasoning, this effect being greatest with LowAssoc analogies. It was not asso…

Analogical reasoningAdultMaleMediation (statistics)AgingInjury controlAccident preventionAnalogyPoison controlWord Association TestsExperimental and Cognitive PsychologySemantic associationDevelopmental psychologyYoung AdultReaction TimeHumansProblem SolvingAgedAged 80 and overMiddle AgedSemanticsPsychiatry and Mental healthNeuropsychology and Physiological PsychologyFemaleGeriatrics and GerontologyPsychologyPsychomotor PerformanceCognitive psychologyNeuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition
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The popularization of plate tectonics: presenting the concepts of dynamics and time

1996

There have been many attempts to describe and represent the theory of plate tectonics to laypeople. In the context of a study conducted at the request of a museum, we have tried to determine how the concepts of both geological time and the movements of the plates have been reformulated. After having systematically studied in detail publications aimed at more or less educated readers, we have selected a corpus of twelve articles from nine different magazines or journals. Among the different means of expression used by the popularizers, rhetorical figures constitute a significant resource. Procedures based on analogy (metaphor, comparison, analogical reasoning) were brought together in a sing…

Analogical reasoningMetaphorCommunicationmedia_common.quotation_subject05 social sciencesAnalogy050801 communication & media studiesContext (language use)050905 science studies[SHS.LANGUE] Humanities and Social Sciences/Linguistics[SHS.INFO] Humanities and Social Sciences/Library and information sciencesLinguistics0508 media and communicationsResource (project management)Arts and Humanities (miscellaneous)Expression (architecture)Dynamics (music)Developmental and Educational PsychologyRhetorical questionSociology0509 other social sciencesSocial sciencemedia_commonPublic Understanding of Science
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K-means Clustering to Study How Student Reasoning Lines Can Be Modified by a Learning Activity Based on Feynman’s Unifying Approach

2017

Background:Research in Science Education has shown that often students need to learn how to identify differences and similarities between descriptive and explicative models. The development and use of explicative skills in the field of thermal science has always been a difficult objective to reach. A way to develop analogical reasoning is to use in Science Education unifying conceptual frameworks.Material and methods:A questionnaire containing six open-ended questions on thermally activated phenomena was administered to the students before instruction. A second one, similar but focused on different physical content was administered after instruction. Responses were analysed using k-means Cl…

Analogical reasoningScience instructionMechanism (biology)Computer scienceLogical reasoningBoltzmann Factor evaluation quantitative data analysis in education k-means clustering thermally-activated phenomenaSettore FIS/08 - Didattica E Storia Della FisicaApplied Mathematics05 social sciencesk-means clustering050301 educationScience educationField (computer science)Educationsymbols.namesake0502 economics and businesssymbolsMathematics educationFeynman diagram0503 education050203 business & managementEURASIA Journal of Mathematics, Science and Technology Education
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The Raven's Coloured Progressive Matrices in Healthy Children: A Qualitative Approach

2020

Studies on the structure of intelligence refer to two main theoretical models: the first one considers intelligence as a unitary construct, the second one assumes the involvement of a plurality of factors. Studies using Raven’s Coloured Progressive Matrices (RCPM) tasks have often highlighted the involvement of different cognitive abilities and brain structures, but in the clinical setting, RCPM measurement continues to be used as a single score. The current study aimed to analyse the RCPM performance following qualitative clustering, in order to provide an interpretation of the intelligence assessment through a factorial criterion. The RCPM have been administered to a large group of typica…

Analogical reasoningSettore M-PSI/01 - Psicologia Generalemedia_common.quotation_subjectTheoretical modelsintelligence; RCPM qualitative parameters; attentional abilities; analogical reasoning; concrete and abstract reasoningRCPM qualitative parameterArticle050105 experimental psychologylcsh:RC321-57103 medical and health sciences0302 clinical medicineRaven's Progressive MatricesPerceptionRCPM qualitative parametersattentional abilities0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedia_commonconcrete and abstract reasoningSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaGeneral Neuroscience05 social sciencesattentional abilitieconcrete and abstract reasoning.Cognitionintelligenceanalogical reasoningIntelligence assessmentPsychologyConstruct (philosophy)030217 neurology & neurosurgeryStrengths and weaknessesCognitive psychology
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Counter-Clock World: How Planning Backwards Helps in Moving Forward in Collapsing Environments

2021

Research on corporate decline and turnarounds as well as the strategic use of history have so far remained two separate research fields. We integrate these two fields with a thought experiment, proposing ways in which strategists can work with, and through time in managing and turning around declines. Our thought experiment involves two very different types of analogies: a textual one from Philip K. Dick’s science fiction novels, on the one hand, and a visual one from Einsteinian relativity science, on the other hand. Inspired and informed by these different conceptualizations of the past and time, we develop four forms of backward strategizing to successfully manage a struggling corporatio…

Analogical reasoningThought experimentScience fictionuses of the pastHistorylcsh:Management. Industrial managementmenneisyysTemporalityStrategy and ManagementTemporalityhistory and temporalityAnalogical reasoninghistorialcsh:BusinessCorporationOrganizational decline and collapsescience fictionSociologyorganizational decline and collapsestrategic renewal and corporate turnaround managementUses of the pastStrategic optionsPerspective (graphical)CognitionMythologyhistoriatietoisuusGeneral Business Management and Accountinganalogical reasoningStrategic renewal and corporate turnaround managementyrityksetEpistemologylaskusuhdannelcsh:HD28-70uudistaminenstrateginen suunnittelutulevaisuuslcsh:HF5001-6182relativismitieteiskirjallisuusM@n@gement
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Artificial intelligence techniques for cancer treatment planning

1988

An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.

Artificial Intelligence SystemKnowledge representation and reasoningbusiness.industryAnimals Antineoplastic Combined Chemotherapy Protocols; administration /&/ dosage/pharmacology Clinical Protocols Computer Simulation Drug Therapy; Computer-Assisted Expert Systems Humans Medical Oncology; methods Programming Languages Software Design Therapy; Computer-AssistedExpert SystemsMedical OncologyDrug Therapy Computer-AssistedmethodsCancer treatmentComputer-AssistedBasic knowledgeadministration /&/ dosage/pharmacologyClinical ProtocolsDrug TherapySoftware DesignTherapy Computer-AssistedAntineoplastic Combined Chemotherapy ProtocolsAnimalsHumansComputer SimulationProgramming LanguagesTherapyArtificial intelligenceAutomated reasoningbusinessMedical Informatics
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Hybrid architecture for shape reconstruction and object recognition

1998

The proposed architecture is aimed to recover 3-D- shape information from gray-level images of a scene; to build a geometric representation of the scene in terms of geometric primitives; and to reason about the scene. The novelty of the architecture is in fact the integration of different approaches: symbolic reasoning techniques typical of knowledge representation in artificial intelligence, algorithmic capabilities typical of artificial vision schemes, and analogue techniques typical of artificial neural networks. Experimental results obtained by means of an implemented version of the proposed architecture acting on real scene images are reported to illustrate the system capabilities.

Artificial neural networkKnowledge representation and reasoningComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingTheoretical Computer ScienceHuman-Computer InteractionArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)Systems architectureComputer visionGeometric primitiveArtificial intelligenceGraphicsbusinessSoftware
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What Cordelia lacks of. The ethical dilemma of authenticity in the planning practices of reasoning in public.

2014

Given the significance of planning public argumentation, that is ‘reasoning in public’, in ways in which it is possible to recognize the diversity of perspectives and the complexity of many issues faced, this paper faces the question of how to deal with this issue in political and social contexts where the notion of (substantial) democracy faces several obstacles in its way. Due to our context-based research work field (and place where we live), we experienced significant difficulties in applying normative principles which are nurtured by promises on behalf of deliberative democracy. Consequently the paper raises the following questions: 1. how to practice this normative ideal in those cont…

Authenticity ethical dilemma public reasonongAuthenticity ethical dilemma public reasoningSettore ICAR/21 - Urbanistica
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On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

2013

Published version of an article in the journal: Applied Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/s10489-013-0424-x There are currently two fundamental paradigms that have been used to enhance the convergence speed of Learning Automata (LA). The first involves the concept of utilizing the estimates of the reward probabilities, while the second involves discretizing the probability space in which the LA operates. This paper demonstrates how both of these can be simultaneously utilized, and in particular, by using the family of Bayesian estimates that have been proven to have distinct advantages over their maximum likelihood counterparts. The success of LA-…

Bayes estimatorLearning automataDiscretizationbusiness.industryComputer scienceMaximum likelihoodBayesian probabilityestimator algorithmsBayesian reasoningEstimatorlearning automataBayesian inferencediscretized learningVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425Artificial Intelligenceε-optimalityArtificial intelligencepursuit schemesbusinessAlgorithm
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