Search results for "REPRESENTATION"

showing 10 items of 1710 documents

El origen del error de inversión y las bases neuronales subyacentes

2018

Una línea de investigación importante en la enseñanza-aprendizaje de las matemáticas, más concretamente en la resolución algebraica de problemas verbales, es la centrada en identificar los procesos cognitivos que se ponen en juego desde que un sujeto identifica una relación matemática en un problema hasta que la expresan mediante una expresión algebraica. Un caso en el que un número importante de estudiantes reconocen el esquema conceptual, pero no son capaces de plasmar una expresión matemática correcta sería el conocido como error de inversión. Este error aparece en los problemas en los que se plantean proposiciones verbales de comparación aditiva y multiplicativa. El nombre del error pro…

Statement (computer science)Identification (information)Computer scienceMultiplicative functionCognitionGeneral MedicineAlgebraic numberAlgebraic expressionArithmeticRepresentation (mathematics)Conceptual schemaRevista de Educación de la Universidad de Granada
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How can mental models theory account for content effects in conditional reasoning? A developmental perspective

1998

Abstract This article proposes a modification to Johnson-Laird's mental models theory applied to the interpretation of conditional statement of the form `if...then'. The model suggests that this interpretation is based on the construction of mental models supplied by establishing a correspondence between the semantic spaces associated with the antecedent and consequent of the statements. The construction of the models and the interpretation of the statements would depend on the nature of the semantic spaces involved, the interpretative context and the subject's knowledge and processing capacity. Three experiments show that the interpretation of conditional rules depends, for example, on whe…

Statement (computer science)Linguistics and LanguageCognitive NeuroscienceInterpretation (philosophy)Experimental and Cognitive PsychologyCognitionContext (language use)Language and LinguisticsAntecedent (grammar)Meaning (philosophy of language)Developmental and Educational PsychologyCognitive developmentMental representationPsychologySocial psychologyCognitive psychologyCognition
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A Bayesian analysis of the thermal challenge problem

2008

Abstract A major question for the application of computer models is Does the computer model adequately represent reality? Viewing the computer models as a potentially biased representation of reality, Bayarri et al. [M. Bayarri, J. Berger, R. Paulo, J. Sacks, J. Cafeo, J. Cavendish, C. Lin, J. Tu, A framework for validation of computer models, Technometrics 49 (2) (2007) 138–154] develop the simulator assessment and validation engine ( SAVE ) method as a general framework for answering this question. In this paper, we apply the SAVE method to the challenge problem which involves a thermal computer model designed for certain devices. We develop a statement of confidence that the devices mode…

Statement (computer science)Stochastic processComputer sciencebusiness.industryMechanical EngineeringBayesian probabilityComputational MechanicsGeneral Physics and AstronomyUnbiased EstimationComputer Science Applicationssymbols.namesakeMechanics of MaterialssymbolsArtificial intelligenceRepresentation (mathematics)businessGaussian processSimulationComputer Methods in Applied Mechanics and Engineering
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Branch-and-cut algorithms for the vehicle routing problem with trailers and transshipments

2013

This article studies the vehicle routing problem with trailers and transshipments VRPTT, a practically relevant, but challenging, generalization of the classical vehicle routing problem. The article makes three contributions: i Building on a nontrivial network representation, two mixed-integer programming formulations for the VRPTT are proposed. ii Based on these formulations, five different branch-and-cut algorithms are developed and implemented. iii The computational behavior of the algorithms is analyzed in an extensive computational study, using a large number of test instances designed to resemble real-world VRPTTs.Copyright © 2013 Wiley Periodicals, Inc. NETWORKS, Vol. 631, 119-133 20…

Static routingComputer Networks and CommunicationsGeneralizationComputer scienceTransshipmentHardware and ArchitectureSynchronization (computer science)Vehicle routing problemDestination-Sequenced Distance Vector routingRepresentation (mathematics)Branch and cutAlgorithmSoftwareInformation Systems
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Spectral Moments and Pre-Envelope Covariances of Nonseparable Processes

1990

A critical review of the definition of the spectral moments of a stochastic process in the nonstationary case is presented. An adequate time-domain representation of the spectral moments in the stationary case is first established, showing that the spectral moments are related to the variances of the stationary analytical pre-envelope processes. The extension to the nonstationary case is made in the time domain evaluating the covariances of the nonstationary pre-envelope showing the differences between the proposed definition and the classical one made introducing the evolutionary power.

Stationary processStochastic processMechanical EngineeringCovarianceCondensed Matter PhysicsPower (physics)Mechanical systemMechanics of MaterialsCalculusTime domainStatistical physicsRepresentation (mathematics)Envelope (mathematics)MathematicsJournal of Applied Mechanics
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On the geometry of the characteristic class of a star product on a symplectic manifold

2001

The characteristic class of a star product on a symplectic manifold appears as the class of a deformation of a given symplectic connection, as described by Fedosov. In contrast, one usually thinks of the characteristic class of a star product as the class of a deformation of the Poisson structure (as in Kontsevich's work). In this paper, we present, in the symplectic framework, a natural procedure for constructing a star product by directly quantizing a deformation of the symplectic structure. Basically, in Fedosov's recursive formula for the star product with zero characteristic class, we replace the symplectic structure by one of its formal deformations in the parameter $\hbar$. We then s…

Statistical and Nonlinear PhysicsGeometrySymplectic representationSymplectic matrixSymplectic vector spaceMathematics - Quantum AlgebraFOS: MathematicsQuantum Algebra (math.QA)SymplectomorphismMoment mapMathematics::Symplectic GeometryMathematical PhysicsSymplectic geometryQuantum cohomologySymplectic manifoldMathematics
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Requirement analysis abstractions for AmI system design

2015

Current trends in the AI’s evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstract…

Statistics and ProbabilityAmbient intelligenceKnowledge representation and reasoningRequirement analysisComputer scienceMulti-agent systemsmart environmentGeneral EngineeringOntology (information science)software designData scienceWorld Wide WebAmI modelArtificial Intelligencemulti-agent systemAmbient intelligenceSystems designSoftware designSmart environmentontologyRequirement analysiRequirements analysisontology AmI modelJournal of Intelligent & Fuzzy Systems
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Graphical representation of some duality relations in stochastic population models

2007

We derive a unified stochastic picture for the duality of a resampling-selection model with a branching-coalescing particle process (cf. http://www.ams.org/mathscinet-getitem?mr=MR2123250) and for the self-duality of Feller's branching diffusion with logistic growth (cf. math/0509612). The two dual processes are approximated by particle processes which are forward and backward processes in a graphical representation. We identify duality relations between the basic building blocks of the particle processes which lead to the two dualities mentioned above.

Statistics and ProbabilityDiscrete mathematicsDualityProcess (engineering)Feller's branching diffusionProbability (math.PR)Duality (optimization)Dual (category theory)Algebragraphical representationbranching-coalescing particle processstochastic population dynamicsPopulation model60K35resampling-selection modelMathematikFOS: MathematicsStatistics Probability and UncertaintyLogistic functionDiffusion (business)Representation (mathematics)Mathematics - ProbabilityMathematics
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Fractional Brownian motion and Martingale-differences

2004

Abstract We generalize a result of Sottinen (Finance Stochastics 5 (2001) 343) by proving an approximation theorem for the fractional Brownian motion, with H> 1 2 , using martingale-differences.

Statistics and ProbabilityGeometric Brownian motionFractional Brownian motionMathematics::ProbabilityDiffusion processReflected Brownian motionMathematical analysisBrownian excursionStatistics Probability and UncertaintyHeavy traffic approximationMartingale (probability theory)Martingale representation theoremMathematicsStatistics & Probability Letters
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A Knowledge Management and Decision Support Model for Enterprises

2011

We propose a novel knowledge management system (KMS) for enterprises. Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases. The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty. Copyright © 2011 Patrizia Ribino et al.

Statistics and ProbabilityKnowledge Management SystemsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDecision support systemKnowledge managementArticle SubjectKnowledge representation and reasoningExploitProcess (engineering)business.industryComputer sciencelcsh:MathematicsApplied MathematicsGeneral Decision SciencesBayesian networkOntology (information science)lcsh:QA1-939computer.software_genreExpert systemComputational MathematicsKnowledge-based systemsbusinesscomputer
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