Define what you mean by "artificial intelligence." If you mean the black box approaches to maximize prediction, obviously not, if you mean "strong AI" then it depends who you are taking with and what they are trying to achieve. Also depends a bit on what you mean by cognitive, psychological foundations, etc. I recommend re-writing your question making clear what you mean.
In my opinion, anthropomorphic cognitivism as applied to AI is a fallacy. AI needs to be approached pragmatically: imitating human consciousness does not necessarily give the best results.
Define what you mean by "artificial intelligence." If you mean the black box approaches to maximize prediction, obviously not, if you mean "strong AI" then it depends who you are taking with and what they are trying to achieve. Also depends a bit on what you mean by cognitive, psychological foundations, etc. I recommend re-writing your question making clear what you mean.
It's true, AI has two historically known branches: Symbolism and Connectionism (Marvin Minsky, Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy), and partially, the current data based AI is derived from the second one.
But every science has its foundations (or it is not science), and its practical approaches, more or less founded (depending on the level of formalization). I had in mind the first one.
In AI one of the main foundational components is Psychology. For example, Marvin Minsky (The Society of Mind) took several Psychoanalytical concepts and relations for explaining his agent based intelligence.
Currently the main authors, interested in the fundamental topics of AI, consider that the human brain can be modelled as a computational system; on the other hand, it is assumed that intelligent agents act in response to the stimuli they receive from the environment and on this basis they model artificial systems.
This is essentially what is understood among the people as a connectivist approach. Other details of the essence of this approach would only be specifications within an already assumed position.
This question seeks to find other approaches, different from those that consider the agent directly related to the environment, responding to its changes, if someone could understand them as mediated relationships, originating from the agent itself.
David Vernon's "Artificial Cognitive Systems" - Chapter 2 (Paradigms of Cognitive Science) offers an excellent presentation and an answer to your question.
it is how do look at technology is technology and science is science, this is there for since we exits, while technology is new phenomena, since that is there for long time, they are many many riddles driven which until now able to starch little of it surface, this journey technology is just an enabler and anything Artificial is Artificial , it is subjective debate why death causes