Search results for " Cognitive modeling"

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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
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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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