Search results for "Intelligence"

showing 10 items of 6959 documents

Controlling reactive aggression through cognitive evaluation of proactive aggression cues

2006

The authors investigated how the relationship between the acts of proactive and reactive aggression was moderated by the individual differences in cognitive regulation of emotion. An aggression paradigm, a electrocardiogram recording, a cognitive assessment battery, and a short form IQ test were completed by 109 children, aged 8 to 13 years (Juujarvi, Kaartinen, Laitinen, Vanninen, & Pulkkinen, 2006; Juujarvi, Kooistra, Kaartinen, & Pulkkinen, 2001; Lehto, Juujarvi, Kooistra, & Pulkkinen, 2003). The less the children subdued the intensity of their defence to the attacks in the aggression paradigm, the poorer they performed in the cognitive assessment battery tasks measuring Working memory c…

Cognitive evaluation theoryIntelligence quotientWorking memoryAggressionRegulation of emotionFluid and crystallized intelligenceInformation processingExperimental and Cognitive PsychologyCognitionDevelopmental psychologyArts and Humanities (miscellaneous)Developmental and Educational Psychologymedicinemedicine.symptomPsychologyCognitive psychologyCognition & Emotion
researchProduct

A Cognitive Model of Trust for Biological and Artificial Humanoid Robots

2018

Abstract This paper presents a model of trust for biological and artificial humanoid robots and agents as antecedent condition of interaction. We discuss the cognitive engines of social perception that accounts for the units on which agents operate and the rules they follow when they bestow trust and assess trustworthiness. We propose that this structural information is the domain of the model. The model represents it in terms of modular cognitive structures connected by a parallel architecture. Finally we give a preliminary formalization of the model in the mathematical framework of the I/O automata for future computational and human-humanoid application.

Cognitive model0209 industrial biotechnologybusiness.industryComputer science020206 networking & telecommunicationsCognition02 engineering and technologyModular designDomain (software engineering)Antecedent (grammar)020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesArtificial intelligencebusinessHumanoid robotGeneral Environmental ScienceProcedia Computer Science
researchProduct

A cognitive architecture for artificial vision

1997

Abstract A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the ling…

Cognitive modelActive visionLinguistics and LanguageRepresentation levelComputer sciencemedia_common.quotation_subjectGeometric reasoningRepresentation levelsLanguage and LinguisticsArtificial IntelligencePerceptionConceptual spacesLIDAArchitectureActive visionLanguage and Linguisticmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceHybrid processingbusiness.industryCognitionSpatial intelligenceCognitive architectureRoboticsRoboticPerceptionArtificial intelligencebusinessSpatial reasoningArtificial Intelligence
researchProduct

Contextual neural-network based spectrum prediction for cognitive radio

2015

Cognitive radio is the technique of effective electromagnetic spectrum usage important for future wireless communication including 5G networks. Neural networks are nature-inspired computational models used to solve cognitive radio prediction problems. This paper presents the use of contextual Sigma-if neural network in prediction of channel states for cognitive radio. Our results indicate that Sigma-if neural network confirms better predictions than Multilayer Perceptron (MLP) network and decreases sensing time for the benefit of the increase of the effectiveness of e-m spectrum usage.

Cognitive modelComputational modelArtificial neural networkspectrum sensingbusiness.industryTime delay neural networkComputer scienceComputer Science::Neural and Evolutionary Computationartificial intelligenceCognitive networkMachine learningcomputer.software_genrecontextual predictionCognitive radioMultilayer perceptron5G communicationcontextual processingWirelessArtificial intelligencebusinesscomputer2015 Fourth International Conference on Future Generation Communication Technology (FGCT)
researchProduct

Modeling visual sampling on in-car displays: The challenge of predicting safety-critical lapses of control

2015

In this article, we study how drivers interact with in-car interfaces, particularly by focusing on understanding driver in-car glance behavior when multitasking while driving. The work focuses on using an in-car touch screen to find a target item from a large number of unordered visual items spread across multiple screens. We first describe a cognitive model that aims to represent a driver?s visual sampling strategy when interacting with an in-car display. The proposed strategy assumes that drivers are aware of the passage of time during the search task; they try to adjust their glances at the display to a time limit, after which they switch back to the driving task; and they adjust their t…

Cognitive modelComputer scienceHuman Factors and ErgonomicsEducationTask (project management)Cognitive modelingInhibition of returnHuman–computer interactionDistractionHuman multitaskingComputer visionVisual searchCommunication designta113business.industryVisual searchGeneral EngineeringDriving simulatorDistractionGazeIn-car displaysHuman-Computer InteractionHardware and ArchitectureEye trackingArtificial intelligenceInterleaving strategybusinessSoftwareDriving
researchProduct

The Psychology of Thinking in Creating AI

2021

The broad-scale emergence of AI in industry calls forth basic questions in terms of the knowledge bases and approaches relevant for its design. Engineering design has been mainly developed for electromechanical artifacts. In practice, this has meant that the scientific knowledge required for creating technical artifacts such as engines, cars, ships, cranes, telephones, radios, TVs, and simple data processing units has been natural science. However, one cannot find intelligent processes by means of physics and chemistry. Natural scientific phenomena follow their deterministic laws, but intelligence is based on selection and decision processes. The conceptual landscape of natural science is o…

Cognitive modelPhysicsSociology of scientific knowledge/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyOperationalizationGRASPInformation processingPsychology of ThinkingData scienceEngineering DesignKnowledge-based systemsAIArtificial IntelligenceComputer ScienceDesign MethodsSDG 7 - Affordable and Clean EnergyPsychologyEngineering design processDesign technologyCognitive Models
researchProduct

Artificial organisms as tools for the development of psychological theory: Tolman's lesson

2007

In the 1930s and 1940s, Edward Tolman developed a psychological theory of spatial orientation in rats and humans. He expressed his theory as an automaton (the ‘‘schematic sowbug’’) or what today we would call an ‘‘artificial organism.’’ With the technology of the day, he could not implement his model. Nonetheless, he used it to develop empirical predictions which tested with animals in the laboratory. This way of proceeding was in line with scientific practice dating back to Galileo. The way psychologists use artificial organisms in their work today breaks with this tradition. Modern ‘‘artificial organisms’’ are constructed a posteriori, working from experimental or ethological observations…

Cognitive modelSettore M-PSI/01 - Psicologia GeneraleComputer scienceCognitive NeuroscienceSpatial BehaviorExperimental and Cognitive Psychologysymbols.namesakeArtificial IntelligenceOrientationArtificial organisms Cognitive modeling Schematic sowbug Tolman's theoryPsychological TheoryGalileo (satellite navigation)AnimalsLearningSchematic sowbug Cognitive modeling Artificial organisms Tolman’s theoryComputer Simulationbusiness.industrySchematicGeneral MedicineRoboticsHistory 20th CenturyModels TheoreticalTrial and errorAutomatonRatsSpace PerceptionsymbolsA priori and a posterioriRobotArtificial intelligencebusinessPsychological Theory
researchProduct

Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach

2013

We consider the problem of a user operating within a Cognitive Radio Network (CRN) which involves N channels each associated with a Primary User (PU). The problem consists of allocating a channel which, at any given time instant is not being used by a PU, to a Secondary User (SU). Within our study, we assume that a SU is allowed to perform “channel switching”, i.e., to choose an alternate channel S times (where S +1 ≤ N) if the previous choice does not lead to a channel which is vacant. The paper first presents a formal probabilistic model for the problem itself, referred to as the Formal Secondary Channel Selection (FSCS) problem, and the characteristics of the FSCS are then analyzed. Ther…

Cognitive radioTheoretical computer sciencebusiness.industryComputer scienceBayesian probabilitySampling (statistics)Statistical modelArtificial intelligenceBayesian inferencebusinessProbability vectorCommunication channelAutomaton2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
researchProduct

The inner speech of the IDyOT

2020

Cognitive scienceArtificial Intelligencemedia_common.quotation_subjectMEDLINEGeneral Physics and AstronomyInformation dynamicsConsciousnessGeneral Agricultural and Biological SciencesPsychologyCreativitymedia_commonPhysics of Life Reviews
researchProduct

Implementation is crucial but must be neurobiologically grounded

2014

Cognitive scienceCognitive biologyArtificial IntelligenceGeneral Physics and AstronomyComparative cognitionCognitive neuroscienceGeneral Agricultural and Biological SciencesPsychologyCognitive psychologyPhysics of Life Reviews
researchProduct