Titlebook: Artificial Psychology; Psychological Modeli James A. Crowder,John Carbone,Shelli Friess Book 2020 Springer Nature Switzerland AG 2020 Artif

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https://doi.org/10.1007/978-3-030-17081-3Artificial Brain; Artificial Human Communication; Artificial Intelligence; Artificial Neural Memories; A

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Springer Nature Switzerland AG 2020

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https://doi.org/10.1007/978-1-349-07704-5nes to our cars, and everything in between, artificial intelligence is an integral part of our existence. Many prominent people, like Elon Musk and Stephen Hawking, have warned about the potential for machines to take over and cause havoc in the lives and very existence of humans. Hollywood has made

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https://doi.org/10.1007/978-1-349-07704-5eople, and/or organizations to study and understand interaction between individuals (or subsystems), departments (or system elements), and/or business units (or legacy systems) within an organization or overall system-of-systems design (Miller, Living systems, McGraw-Hill, London, 1978). The element

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https://doi.org/10.1007/978-1-349-07704-5wledge, observations, and experiences to affect changes within the system which support performing new tasks previously unknown, or performing tasks already learned, more efficiently and effectively (Crowder, Reusable launch vehicle automated mission planning concepts, Lockheed Martin, Littleton, 19

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https://doi.org/10.1007/978-1-349-07704-5arning involves finding the best explanation for a set of observations, based on creating a set of possible explanatory hypotheses. Formal models have been created (Abe, Proceedings of the IJCAI97 Workshop on Induction, 1997), which are utilized to analyze the properties and computational efficienci

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,: ‘I want to be disinherited’,t is necessary to investigate creative processes from a mechanistic perspective as well as involve subjective elements which cannot, in principle, be described from this perspective. These two basic approaches will be investigated here, focusing the artificial creative process on the nature of artif

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https://doi.org/10.1007/978-1-349-07704-5 Occam Abduction, which relates to finding the simplest explanation with respect to inferring cause from effect. Occam abduction is useful in artificial intelligence in application of autonomous reasoning, knowledge assimilation, belief revision, and works well within a multi-agent AI framework. Her

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