Search results for "Knowledge representation"

showing 10 items of 78 documents

Background questionnaires of PISA : a study of the assessment indicators

2016

El sistema de evaluación de PISA ha generado y continúa generando intensos debates sobre su estructura y utilidad. Este artículo se centra en los cuestionarios de contexto, como forma de analizar y entender de manera adecuada los resultados. Los objetivos son analizar los indicadores de contexto que se utilizan en las distintas ediciones de las pruebas PISA, su utilización en distintos estudios y en los resultados de estos estudios. Se proporciona una visión general del modelo utilizado para conseguir que estos indicadores dejen de ser algo que acompaña a las prueba de rendimiento para que alcancen su verdadero sentido: analizar conjuntamente el rendimiento junto con las variables que…

Structure (mathematical logic)Descriptive statisticsHorizontal and verticalsistema educativo05 social sciencesevaluación normativa050301 educationContext (language use)Informe PISADocument analysiscuestionario050105 experimental psychologyEducationTest (assessment)Educació AvaluacióMathematics educationSemantic analysis (knowledge representation)0501 psychology and cognitive sciencesPsychology0503 educationmedida del rendimientoMeaning (linguistics)
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A cognitive approach to goal-level imitation

2008

Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It allows users to instruct robots by simply showing them how to execute a given task. Through imitation robots can learn from their environment and adapt to it just as human newborns do. Despite different facets of imitative behaviours observed in humans and higher primates, imitation in robotics has usually been implemented as a process of copying demonstrated actions onto the movement apparatus of the robot. While the results being reached are impressive, we believe that a shift towards a higher expression of imitation, namely the comprehension of human actions and inference of its intentions…

Linguistics and LanguageKnowledge representation and reasoningbusiness.industryCommunicationmedia_common.quotation_subjectImitative learningRoboticsLanguage and LinguisticsRobot controlHuman-Computer InteractionAction (philosophy)Human–computer interactionRobotAnimal Science and ZoologyArtificial intelligenceCognitive imitationImitationbusinessPsychologymedia_commonInteraction Studies
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A Dynamic Reasoning Architecture for Computer Network Management

2005

This paper focuses on improving network management and monitoring by the adoption of Artificial Intelli- gence techniques. In order to allow automated reasoning on networking concepts, we defined an accurate ontologi- cal model capable of describing as better as possible the networking domain. The thorough representation of the do- main knowledge is used by a Logical Reasoner, which is an expert system capable of performing high-level manage- ment tasks.

Reasoning systemArtificial architectureOpportunistic reasoningKnowledge representation and reasoningbusiness.industryComputer scienceMulti-agent systemRule-based systemMarketing and artificial intelligenceLegal expert systemSemantic reasonerModel-based reasoningcomputer.software_genreExpert systemArtificial intelligence situated approachProcedural reasoning systemOntologyDomain knowledgecomputer network managementAutomated reasoningArtificial intelligencebusinessSoftware engineeringcomputer
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Conceptual graph operations for formal visual reasoning in the medical domain

2014

International audience; Objective - Conceptual graphs (CGs) are used to represent clinical guidelines because they support visual reasoning with a logical background, making them a potentially valuable representation for guidelines.Materials and methods - Conceptual graph formalism has an essential and basic component: a formal vocabulary that drives all of the other mechanisms, notably specialization and projection. The graph's theoretical operations, such as projection, rules, derivation, constraints, probabilities and uncertainty, support diagrammatic reasoning.Results - A conceptual graph's graphical user interface includes a multilingual vocabulary management, some query and decision-m…

VocabularyKnowledge representation and reasoningComputer sciencemedia_common.quotation_subjectBiomedical EngineeringBiophysicsHeart failurecomputer.software_genreVisual reasoning[INFO.INFO-IM]Computer Science [cs]/Medical ImagingClinical guidelines and protocolsGraphical user interfacemedia_commonImagerie médicalebusiness.industryVisual reasoningFormal semanticsDiagrammatic reasoningConceptual graphsKnowledge representationConceptual graphGraph (abstract data type)Artificial intelligenceUser interfacebusinesscomputerNatural language processing
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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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Learning high-level manipulative tasks through imitation

2006

This paper presents ConSCIS, Conceptual Space based Cognitive Imitation System, which tightly links low-level data processing with knowledge representation in the context of robot imitation. Our focus is on the program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a two dimensional world populated with various objects in which observation/imitation takes place. To validate our appr…

Information theoryKnowledge representation and reasoningComputer sciencebusiness.industrymedia_common.quotation_subjectImitation learningContext (language use)KinematicsWorkspaceMotion (physics)RoboticData processingKnowledge representationMachine learningRobotKnowledge based systemsArtificial intelligenceCognitive imitationImitationbusinessRobotsHumanoid robotmedia_commonComputingMethodologies_COMPUTERGRAPHICS
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Knowledge Representation on the Web Revisited: The Case for Prototypes

2016

Recently, RDF and OWL have become the most common knowledge representation languages in use on the Web, propelled by the recommendation of the W3C. In this paper we examine an alternative way to represent knowledge based on Prototypes. This Prototype-based representation has different properties, which we argue to be more suitable for data sharing and reuse on the Web. Prototypes avoid the distinction between classes and instances and provide a means for object-based data sharing and reuse.

Knowledge representation and reasoningComputer scienceRepresentation (systemics)020207 software engineering02 engineering and technologycomputer.file_formatLinked dataReuseObject (computer science)Data sharingWorld Wide Web020204 information systemsCommon knowledge0202 electrical engineering electronic engineering information engineeringRDFcomputer
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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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Continuum: A spatiotemporal data model to represent and qualify filiation relationships

2013

International audience; This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation depends on whether the object changes its identity or not. On the other hand, topological filiations are based exclusively on the spatial component, like in the case of growth, reduction, merging or splitting. When combining identity and topological filiations, six filiation relationships are obtained, forming a second abstrac…

spatial dynamicsTheoretical computer sciencefiliationintegrity constraintsSpatio-temporal modelingspatio-temporal evolutionComputer scienceOntology (information science)Object (computer science)computer.software_genreSemantic data modelConsistency (database systems)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Data modelData integrityI.2.4 [ARTIFICIAL INTELLIGENCE]: Knowledge Representation Formalisms and Methods - Semantic networks. I.2.3 [ARTIFICIAL INTELLIGENCE]: Deduction and Theorem Proving - Inference engines.Identity (object-oriented programming)semanticreasoningData mining[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computerSemantic Web
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Silent music reading: Amateur musicians' visual processing and descriptive skill

2013

This article addresses the silent reading of music notation, combining eye-movement measures with a semantic analysis of readers’ verbal descriptions of the notated music. A group of musical novices ( n = 16) and two groups of musical amateurs (less experienced n = 11 and more experienced n = 10) participated in three separate measurement sessions during a nine-month-long university music course designed for future primary-school teachers. In each session they viewed a notated folk song for 30 s and then described what they had seen. Greater musical experience was found to be connected with shorter fixation durations, more linear scanning of the notated music, and more accurate and integra…

Musical notationAcousticsmedia_common.quotation_subjectEye movementExperimental and Cognitive PsychologyMusicalLinguisticsVisual processingReading (process)ta6131Semantic analysis (knowledge representation)ta516PsychologyAmateurMusicSilent readingmedia_commonMusicae Scientiae
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