Quoting Pei Wang in the 2012 masterwork Theoretical Foundations of Artificial General Intelligence: On a theory of real artificial intelligence:
"... still a small number of AI researchers who believe that such a theory is possible, and worthwhile to be investigated. The best known work in this direction is the “Unified Theories of Cognition” by Newell [31], in which he argued for the necessity for AI and cognitive science to have unified theories, and proposed his theory, which attempts to cover both AI and human intelligence."
This supports my point: It is sensible and reasonable to believe that any good theory for AI would be absolutely dependent on good theory in cognitive psychology.
Fortunately, I can offer you some descriptions of the advancements in the science of cognitive psychology (cognitive-developmental psychology) needed for real AI (AGI)) (read the rest of THIS PAGE first): https://www.researchgate.net/post/Have_things_having_the_role_of_a_MICROSCOPE_for_psychology_been_developed_which_may_be_used_for_investigation_of_important_observational_specifics?
I would argue that 4 out of the 5 or 6 requirements for a good AI (AGI) as formulated by Thorisson, are satisfied by doing research (and succeeding) using this perspective. Moreover, I submit: that psychology is not so sophisticated that an AI team could not educate a team member to get all the background needed from psychology and do this research. Then perhaps your team can develop even greater AI.
For more details, see the RELATED PROJECT: https://www.researchgate.net/project/Developing-a-Usable-Empirically-Based-Outline-of-Human-Behavior-for-FULL-Artificial-Intelligence-and-for-Psychology
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