Is the following list the characteristics of the things which are the bases of psychological understandings for General Artificial Intelligence?
The material, below, from https://www.researchgate.net/project/Developing-a-Usable-Empirically-Based-Outline-of-Human-Behavior-for-FULL-Artificial-Intelligence-and-for-Psychology "Project Goals (for General Artificial Intelligence and psychological science)" (below, slightly elaborated). (Also, this Project is where you can find additional information and "specs".)
Project Goals (for General Artificial Intelligence and psychological science)
Project strives to be:
* nothing more than needed, while WELL-ESTABLISHED, BEING ALWAYS clearly-related to the most reliable, strongest scientific findings in psychology (this is, in particular: facts and findings on the Memories)
* enough to embrace a good part of everything, providing a very likely main overall "container" -- with EVERYTHING addressed, founded on, grounded on, OR clearly "stemming" from: discovery of and direct observation of overt behavior patterns (done by providing clear and likely ways to discover the specific, direct, explicit, observable empirical foundations to qualitative cognitive stages -- something completely lacking in modern psychology otherwise). All hypotheses related to all positions (in THIS LIST and in any References) ARE testable/verifiable (at least now, with eye-tracking technologies and computer assisted analysis).
* having ALL that is needed AND which is all-concrete (explicit, specified, or FULLY defined-as-used or thusly definable), at the same time: so as to provide for Generalized Artificial Intelligence and good science, otherwise. [ There may be one seeming exception to elements being "clearly specified" : the "episodic buffer". And that can be defined "relationally", simply having a state plausibly/possibly inferred from all the [other] more concretely defined elements (with their characteristics and processes).]
* providing for self-correction and for continuous progress as science (actual psychology) (as real and good science, and good thinking, is) And, not coincidentally, providing for continuous development of the AI "robot" itself (by itself; of course: experience needed).
* consistent with current major theories to the full extent justified, but contrasted by having a better well-established set of assumptions, thoroughly justified and explicated. An integrative perspective, equally good for appropriate shifts in all theoretical perspectives (in the end, each theory allowing MORE, and being more empirical)
* proving (by amassing related evidence of) the inadequacy of current perspectives on and approaches to behavioral studies (addressing current psychology-wide pseudo-'assumptions')
* an approach which ends obviously senseless dualisms, e.g. nature/nurture; continuous/discontinuous, which just impede understanding, discovery, and progress. This is inherent in the "definitions" of elements and processes (all from observations or most-excellent research; and largely inductively inferred) .
It is good for psychology (it IS psychology) and General Artificial Intelligence, as well.
NOTE: (1) Nothing above should be seen as merely descriptive (this implies too much tied to certain situation(s) and/or to abstraction(s), always lacking true details; it also probably implies too much related to human judgment).
(2) Nothing -- no element or constellation of elements -- are operationally (as they actually come together and 'work') as envisioned only by, or in any way (at all) mainly by, human conceptualization OR human imagination.
(3) The Subject is ALL and shall be seen just as it is (at least eventually), and should always be THE guide phenomenologically at all times to move toward that goal.
I believe this is the only way our algorithms will correspond to biology and that AI will really simulate US.
[ P.S. I have tried to much more specifically direct people to answers to Questions such as above, FOR BEHAVIORAL SCIENCES in general, in my major papers here on RG (esp. "A Human Ethogram ... ") AND in my many, many essays, now most in a 328-page BOOK, Collected Essays (also on RG). General Artificial Intelligence is, in effect, a behavioral science itself. ]
Hello, maybe this could help you : http://people.eecs.berkeley.edu/~russell/intro.html
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