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dc.contributor.authorZdzisław, Kowalczuk-
dc.contributor.authorMichał Czubenko, Czubenko-
dc.date.accessioned2023-03-31T06:56:54Z-
dc.date.available2023-03-31T06:56:54Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s10462-022-10255-9-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/7381-
dc.descriptionCC BYvi
dc.description.abstractConcepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in solving known and unknown problems. The article proposes, at a high level of generality, an operational cybernetic model of the human mind, developed with the use of carefully selected ideas taken from psychological knowledge.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectpsychologyvi
dc.subjectartificial intelligencevi
dc.titleCognitive motivations and foundations for building intelligent decision-making systemsvi
dc.typeBookvi
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