AI, to the level that we attempt to create it these days, involves creating neural networks that learn from stimulus (experience, data) and reinforcement. A higher score such as in a Go game, or a higher % of matched words, faces or signs seems to equate to positive reinforcement within classical conditioning.Given that behaviourism is mostly seen as somewhat outdated, if the above makes sense, could this model of learning be limiting progress in AI?
Is the current approach to AI learning essentially behaviourism?
behaviorism;artificial intelligence