Search results for "Causal reasoning"

showing 5 items of 5 documents

Ancient Theories of Reasoning

2013

In this section, the central question is whether we can find ancient discussions concerning what happens in the mind when a conclusion is drawn. Did ancient authors suppose that there is a psychological force that compels us to accept the conclusion when the premises are accepted and the inference is valid? Or, if the inference is not deductively valid but adds to the credibility of the conclusion in another way, e.g., by being inductive, what happens in the mind when such an inference is drawn? In general, psychology of reasoning was not a vital topic in antiquity. Reasoning was typically considered from a logical, not from a psychological point of view. For example, in Stoic sources the n…

Point (typography)CredibilityMiddle termInferencePsychology of reasoningTruth conditionCausal reasoningInductive reasoningPsychologyHumanitiesEpistemology
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Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies.

2018

While the concept of a conscious machine is intriguing, producing such a machine remains controversial and challenging. Here we describe how our work on creating a humanoid cognitive robot that learns to perform tasks via imitation learning relates to this issue. Our discussion is divided into three parts. First, we summarize our previously-detailed framework for advancing the understanding of the nature of phenomenal consciousness. This framework is based on identifying computational correlates of consciousness. Second, we describe a cognitive robotic system that we recently developed that learns to perform tasks by imitating human-provided demonstrations. This humanoid robot uses cause-ef…

imitation learningartificial consciousnessComputer sciencemedia_common.quotation_subjectlcsh:Mechanical engineering and machinerymachine consciousnessArtificial consciousnesscognitive phenomenology050105 experimental psychologylcsh:QA75.5-76.95working memory03 medical and health sciences0302 clinical medicineArtificial Intelligence0501 psychology and cognitive scienceslcsh:TJ1-1570cognitive robotsmedia_commonOriginal ResearchCognitive scienceRobotics and AIWorking memory05 social sciencesCognitioncomputational explanatory gapComputer Science Applicationsneural network gating mechanismsRobotCausal reasoninglcsh:Electronic computers. Computer scienceConsciousnessNeurocognitive030217 neurology & neurosurgeryHumanoid robotFrontiers in robotics and AI
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Chronometric evidence for memory retrieval in causal conditional reasoning: The case of the association strength effect

2005

According to many models of conditional reasoning, correct responses to the uncertain forms affirmation of consequent (AC) and denial of antecedent (DA) rely on the retrieval of an alternative antecedent from semantic memory. The main prediction issuing from this hypothesis of online retrieval is that the associative strength of the relevant information in long-term memory affects the latency of its retrieval and then of the correct response of uncertainty to AC and DA. This prediction was tested in 64 adults who performed a syllogism evaluation task with familiar causal conditional premises. As predicted, correct responses of uncertainty to AC and DA were not only more frequent but also fa…

AdultMaleAntecedent (logic)MemoriaDecision MakingSyllogismInferenceExperimental and Cognitive PsychologyCognitionSemanticsAssociationNeuropsychology and Physiological PsychologyArts and Humanities (miscellaneous)MemoryMental RecallReaction TimeHumansSemantic memoryFemaleCausal reasoningPsychologyAssociation (psychology)Social psychologyCognitive psychologyMemory & Cognition
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Context-aware intelligent video analysis for the management of smart buildings

2019

To date, computer vision systems are limited to extract digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by environment and human-skills knowledge.In this work, we propose a new approach to cross-fertilize computer vision with contextual information, based on semantic modelization defined by an expert.This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as people guid…

Modélisation des informations sur le bâtiment (BIM)[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Smart camerasCaméras inteligentesIngénierie d'OntologiesOntology engineeringRaisonnement CausalTraitement d'ImagesArtificial Inteligence (AI)Building information modeling (BIM)Computer visionCausal reasoningIntelligence artificielle (IA)
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Causal Reasoning in Mild Mental Disabled Children

2017

Abstract This study is focused to analyze mild mental retardation children’s ability to make causal attributions from sparse data. The research method selected was that of an unifactorial experiment starting from the assumption that children with mild mental retardation should ask for help or explore the environment following the causal attribution they will do according to the statistical data they receive. This study was conducted on a sample of 23 mild mental retardation children (ages between 9 and 12). The participants were randomly divided into two experimental groups and they were asked to complete a specific task (press a button to scroll a set of images). The results obtained using…

Military policyPolitical science05 social sciences050301 education0501 psychology and cognitive sciencesCausal reasoningBusiness management0503 educationSocial psychology050104 developmental & child psychologyInternational conference KNOWLEDGE-BASED ORGANIZATION
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