Abstract
Although we feel we have made a great start and have covered much about how to test artificial intelligent systems at various levels, much research and 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 modes of learning and implicit and explicit types of knowledge has not been established and must be explored before we put artificial intelligent systems into long-term service either within the Department of Defense or the private, commercial sector. The relationships between decision and action may be critically influenced by implicit learning and knowledge and we need to understand how implicit vs. implicit learning and knowledge affect the ability of systems to learn and act effectively and correctly.
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Notes
- 1.
This means that the SELF autonomously makes value-based decisions, referring to values that the SELF has created for itself.
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Crowder, J.A., Carbone, J., Friess, S. (2020). Conclusions and Next Steps. In: Artificial Psychology. Springer, Cham. https://doi.org/10.1007/978-3-030-17081-3_14
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DOI: https://doi.org/10.1007/978-3-030-17081-3_14
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