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Common Tasks to Accomplish:
Once you've worried about what and why you're doing "AI", what has inspired you and how you're going to approach the job, then you just start to think about what task it is that you know how to automate. "AI" is so often portrayed as a set of problem-solving optimisation techniques, but I think the relentless shoe-horning of intelligent tasks into one problem formulation or another is holding "AI" back. That said, we have determined a number of problem solving tasks in "AI"
-which have Logic programming and Automated reasoning
-most of which have been already hinted at previously section
- which can be used as a characterization.
The categories overlap a little because of the generality of the optic techniques. For instance, pre-planning could be found in many type of categories, as this is a fundamental part of solving many types of problem.
Objects, messages, class, inheritance and polymorphism are the major concepts of object orientation.
Difficulties - canonical genetic algorithm: Therefore the first big problem we face whether designing an "AI" agent to perform a GA-style search is how to represent the soluti
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