Search results for " reasoning"

showing 10 items of 357 documents

A multiple criteria decision model for analyzing and choosing among different development patterns for the Helsinki cargo harbor

1999

Abstract This paper describes a real application of a multicriteria approach to choosing among different options for developing the Helsinki harbor. In addition to the environmental impact assessment procedure, an analysis of the alternatives using the SMAA-method (Stochastic Multiobjective Acceptability Analysis) is carried out. The method applied here has been developed for situations in which the use of decision-makers’ preference information is not possible. Instead, the problem is described by typical weight vectors leading to each solution, taking into account the evident uncertainty embedded in the criteria values.

Economics and EconometricsDecision support systemOperations researchComputer scienceStrategy and Managementmedicine.medical_treatmentGeography Planning and DevelopmentEvidential reasoning approachDecision treeManagement Science and Operations ResearchPreferencemedicineStatistics Probability and UncertaintyDecision modelDecision analysis cycleDecision analysisOptimal decision
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Unawareness and Partitional Information Structures

1999

Abstract We claim first that simple uncertainty is not an adequate model of a subject's ignorance, because a major component of it is the inability to give a complete description of the states of the world, and we provide a formal model of unawareness. In Modica and Rustichini (1994) we showed a difficulty in the project, namely that without weakening of the inference rules of the logic one would face the unpleasant alternative between full awareness and full unawareness. In this paper we study a logical system where non full awareness is possible, and prove that a satisfactory solution to the problem can be found by introducing limited reasoning ability of the subject. A determination theo…

Economics and Econometricsmedia_common.quotation_subjectComponent (UML)Subject (grammar)Limited reasoning abilityIgnoranceRule of inferenceMathematical economicsFinancemedia_commonMathematicsSimple (philosophy)Games and Economic Behavior
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Moral Neuroeducation from a Phylogenetic, Ontogenetic and Functional Perspective

2019

The aim of this chapter is to consider a series of key contributions to moral neuroeducation from a threefold phylogenetic, ontogenetic and functional perspective. I will argue that an individual’s transition from social to moral behaviour occurs through the concurrence of certain faculties with a specific degree of complexity. With regard to both phylogenesis and ontogenesis, certain kinds of prosocial behaviours become moral in certain specific conditions. The study of these conditions reveals which faculties are involved in moral behaviour, how they do so, and how they relate to one another. A third functional perspective thereby becomes necessary to explain how morality functions at bot…

Educational neuroscienceProsocial behaviorXenophobiamedia_common.quotation_subjectMoral reasoningPsychologyMoralityEpistemologyIntuitionmedia_common
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Vocational training and moral judgement

1998

Abstract Since Carol Gilligan (1982) presented her conception of “two morals”, several empirical studies have been carried out to verify her assumption that the moral reasoning of men and women generally follows different principles. These research findings led to an examination of gender-specific traits in a sample of insurance apprentices. The data suggest that Gilligan’s assumption cannot be upheld although the detailed analysis of moral reasoning and the conditions of its development seem to be gender-biased. Gender differences in moral judgments should not be dealt with as a matter of the quality of moral reasoning (“different voice-hypothesis”), but rather as a matter of perceiving so…

Empirical researchMoral developmentVocational educationJudgementMoral reasoningInterpersonal communicationPsychologySocial psychologySocial cognitive theory of moralityEducationMoral disengagementInternational Journal of Educational Research
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The function of olfactory experience in reasoning : An empirical study

2019

This study reports the role of olfactory experience (i. e. smell of medication) in a nine-year old girl’s reasoning in pair-work situation where the children were asked to choose items useful on a desert island. The extract analysed here is part of the larger data set of my dissertation, in which I investigate how sensory-motor activities involved in reasoning. I video-recorded an experimental task, in which the participants (N=27; age=9; Hungarian L1) have been asked to choose 7 items out of 14 to take those to an imaginary uninhabited island. The multimodal analysis shows that children did not choose the vitamin pills due to its unpleasant smell. The findings suggests that crossmodal expe…

Empirical researchmultimodal analysissensory-motor activitiesmedia_common.quotation_subjectFunction (engineering)PsychologyCognitive psychologymedia_commonchildren’s reasoning
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Usage of Case-based Reasoning in FMEA-driven Software

2014

Abstract Failure Mode and Effect Analysis (FMEA) is among the most widely used safety analysis procedures in the various industries. The procedure is generally perceived as complex and time-consuming, hindering an effective reuse of previous knowledge. In this paper we present an innovative usage of knowledge system into FMEA process using the Case-based reasoning to reduce the time and effort associated with this analysis. Knowledge system is built to serve multi-projects work that nowadays are in place in any manufacturing or services provider, and knowledge must be retained and reused at the company level and not only at project level. Collaboration is assured trough web-based GUI that s…

EngineeringKnowledge managementProcess managementbusiness.industryProcess (engineering)knowledge reuse;ReuseCase-based reasoningSoftwareWork (electrical)General Earth and Planetary SciencesCase-based reasoningbusinessFailure mode and effects analysisFMEAGeneral Environmental ScienceProcedia CIRP
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Engineering multi-agent systems: State of affairs and the road ahead

2019

International audience; The continuous integration of software-intensive systems together with the ever-increasing computing power offer a breeding ground for intelligent agents and multi-agent systems (MAS) more than ever before. Over the past two decades, a wide variety of languages, models, techniques and methodologies have been proposed to engineer agents and MAS. Despite this substantial body of knowledge and expertise, the systematic engineering of large-scale and open MAS still poses many challenges. Researchers and engineers still face fundamental questions regarding theories, architectures, languages, processes, and platforms for designing, implementing, running, maintaining, and e…

EngineeringMultiagent systems D2DesignStandardizationIntelligent agentsHuman FactorsState of affairs02 engineering and technologycomputer.software_genreMulti-Agent SystemsBody of knowledgeIntelligent agentEngineering020204 information systems0202 electrical engineering electronic engineering information engineeringTheory[INFO]Computer Science [cs]ExperimentationComputer. AutomationInformáticaTelecomunicacionesMulti-Agent SystemRequirements engineeringbusiness.industryMulti-agent systemAgent-Oriented Software Engineering020207 software engineeringGeneral MedicineAgentsReliabilityAgent-Oriented ProgrammingStandardizationVariety (cybernetics)Continuous integrationEngineering managementMAS ArchitectureVerification Keywords Software engineeringGoal ReasoningAISecurityLanguages020201 artificial intelligence & image processingbusinessEngineering sciences. Technologycomputer
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Probabilistic entailment in the setting of coherence: The role of quasi conjunction and inclusion relation

2013

In this paper, by adopting a coherence-based probabilistic approach to default reasoning, we focus the study on the logical operation of quasi conjunction and the Goodman-Nguyen inclusion relation for conditional events. We recall that quasi conjunction is a basic notion for defining consistency of conditional knowledge bases. By deepening some results given in a previous paper we show that, given any finite family of conditional events F and any nonempty subset S of F, the family F p-entails the quasi conjunction C(S); then, given any conditional event E|H, we analyze the equivalence between p-entailment of E|H from F and p-entailment of E|H from C(S), where S is some nonempty subset of F.…

FOS: Computer and information sciencesClass (set theory)Goodman–Nguyen’s inclusion relationQAND ruleSettore MAT/06 - Probabilita' E Statistica MatematicaComputer Science - Artificial IntelligenceMathematics - Statistics TheoryStatistics Theory (math.ST)Logical consequencegoodman-nguyen's inclusion relationTheoretical Computer ScienceArtificial IntelligenceQuasi conjunctionFOS: MathematicsEquivalence (measure theory)MathematicsEvent (probability theory)Discrete mathematicsSettore INF/01 - InformaticaApplied MathematicsProbability (math.PR)quasi conjunction; goodman-nguyen inclusion relation; qand rule; coherence; probabilistic default reasoning; p-entailment; goodman-nguyen's inclusion relationProbabilistic logicCoherence (statistics)Conjunction (grammar)Greatest elementArtificial Intelligence (cs.AI)Probabilistic default reasoninggoodman-nguyen inclusion relationp-EntailmentCoherenceSoftwareMathematics - Probability
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Probabilistic and team PFIN-type learning: General properties

2008

We consider the probability hierarchy for Popperian FINite learning and study the general properties of this hierarchy. We prove that the probability hierarchy is decidable, i.e. there exists an algorithm that receives p_1 and p_2 and answers whether PFIN-type learning with the probability of success p_1 is equivalent to PFIN-type learning with the probability of success p_2. To prove our result, we analyze the topological structure of the probability hierarchy. We prove that it is well-ordered in descending ordering and order-equivalent to ordinal epsilon_0. This shows that the structure of the hierarchy is very complicated. Using similar methods, we also prove that, for PFIN-type learning…

FOS: Computer and information sciencesComputer Science::Machine LearningTheoretical computer scienceComputer Networks and CommunicationsExistential quantificationStructure (category theory)DecidabilityType (model theory)Learning in the limitTheoretical Computer ScienceMachine Learning (cs.LG)Probability of successFinite limitsMathematicsOrdinalsDiscrete mathematicsHierarchybusiness.industryApplied MathematicsAlgorithmic learning theoryProbabilistic logicF.1.1 I.2.6Inductive inferenceInductive reasoningDecidabilityComputer Science - LearningTeam learningComputational Theory and MathematicsArtificial intelligencebusinessJournal of Computer and System Sciences
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Conceptual Spaces for Cognitive Architectures: A lingua franca for different levels of representation

2017

During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [Laird (2012)]) adopt a classical symbolic approach, some (e.g. LEABRA [O'Reilly and Munakata (2000)]) are based on a purely connectionist model, while others (e.g. CLARION [Sun (2006)] adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [Kurup and Chandrasekaran (2007)]. In this p…

FOS: Computer and information sciencesConceptual SpaceCognitive Architectures; Cognitive modeling; Conceptual Spaces; Knowledge representation; Experimental and Cognitive Psychology; Cognitive Neuroscience; Artificial IntelligenceComputer Science - Artificial IntelligenceComputer scienceCognitive NeuroscienceExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyCognitive modelingCognitive ArchitecturesConnectionismArtificial IntelligenceConceptual Spaces0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSoarCognitive ArchitectureRepresentation (mathematics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceKnowledge level05 social sciencesCommon groundCognitionCLARIONDiagrammatic reasoningArtificial Intelligence (cs.AI)Knowledge representation020201 artificial intelligence & image processingThe SymbolicBiologically Inspired Cognitive Architectures
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