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/10.1007/978-1-349-07704-5critical thinking, systems thinking requires many skills to create a holistic view of an entire system and its current and predicted behavior (Ashby, Design for a brain: The origin of adaptive behavior, Chapman & Hall, London, 1960).

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Mendicant

https://doi.org/10.1007/978-1-349-07704-5pose here is to describe a new cognitive architecture for artificial intelligence-controlled devices that incorporates artificial procedural memory creation and recall. This cognitive architecture provides a scalable framework for episodic memory creation as an entity experiences events, and, over t

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,: ‘I want to be disinherited’,CON-SP-0014-2002-06, Fort Meade, 2002; and Crowder, Cognitive systems for data fusion. In: Proceedings of the 2005 PSTN Processing Technology Conference, Ft. Wayne, 2005)..In this chapter, we prescribe potential methods and strategies for continuously adapting, life-long machine learning within a se

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https://doi.org/10.1007/978-1-349-07704-5ial intelligent entities, and the notion of implicit learning within the artificial intelligent entity; how this will lead to implicit memories and how they might affect an overall artificial intelligent entity, for better or worse.

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https://doi.org/10.1007/978-1-349-07704-5fic, multi-disciplinary information content. Additionally, increased automation is the norm and truly autonomous systems are the growing future for atomic/subatomic exploration and within challenging environments unfriendly to the physical human condition. Simultaneously, the size, speed, and comple