I was thinking about writing a paper and I thought that I should describe a method of learning that I want to use with my AI project as ‘reinforcement’ because I realized that it could win a few readers who liked the AI reinforcement concept. The problem is that I really disliked the Behaviorist concept and I disliked how the Behaviorist term had been applied to AI. I do not think the Behaviorist concept of reinforcement is adequate to describe learning and the AI application of the concept seems even worse. Then I realized that I was really thinking of some kind of gradual ‘shaping’ of behavior which might look like reinforcement but which would be significantly different. It is not just a reinforcement of simple behaviors but a more dynamic process of shaping the behavior by trying to appeal to the the internal interplay of different concepts that might be related to the behavior that was being shaped. I do not see AI behavior as a simplistic series of actions that can be shaped by associating two deterministic (deterministic-like) sub programs. I think behavior has to be shaped by encouraging a much richer internal interplay of different concepts that I (as the instructor) think the AI program should know (or be able to discover) were related to the situation.
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