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

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21#
發(fā)表于 2025-3-25 07:17:51 | 只看該作者
,: ‘I want to be disinherited’,an Artificial Intelligent System (AIS) can be thought of as the system’s Knowledge Base (KB) or knowledge ontology (Newell et al., Preliminary description of general problem-solving program-i (gps-i). Carnegie Institute of Technology, Pittsburgh, PA, 1957). What does the AIS know, what has it learne
22#
發(fā)表于 2025-3-25 08:40:58 | 只看該作者
https://doi.org/10.1007/978-1-349-07704-5d interaction with their environments is, at best, difficult, and in some cases impossible. This is especially true if the methods and mechanisms to capture the adaptation and changing memories are not built into the overall system design. Here we present one notion of testing and control methodolog
23#
發(fā)表于 2025-3-25 13:08:35 | 只看該作者
,: ‘I want to be disinherited’,g and/or heterogeneous data environments, either in real-time, or in near-real-time. Typically, in real-time applications, large amounts of disparate data must be processed, learned from, and actionable intelligence provided in terms of recognition of evolving activities. Applications like Rapid Sit
24#
發(fā)表于 2025-3-25 17:57:11 | 只看該作者
25#
發(fā)表于 2025-3-25 20:27:22 | 只看該作者
26#
發(fā)表于 2025-3-26 01:46:34 | 只看該作者
https://doi.org/10.1007/978-1-349-07704-5d development is needed. One major topic of research to be continued is to understand the variables that can be used to control learning performance and explicit knowledge in the context of human interaction with artificial intelligent entities [1]. The relationship between implicit and explicit mod
27#
發(fā)表于 2025-3-26 06:37:04 | 只看該作者
28#
發(fā)表于 2025-3-26 11:35:53 | 只看該作者
29#
發(fā)表于 2025-3-26 16:12:57 | 只看該作者
30#
發(fā)表于 2025-3-26 20:44:25 | 只看該作者
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