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This is often the most sensible thing to do in order to avoid problems in a later stage of the planning process Most techniques are somehow limited in the kinds of characteristics they can handle For example, a linear programming model cannot deal with nonlinear constraints, and temporal reasoning is dif cult to implement in many mathematical techniques Therefore, the domain analysis must somehow be translated into the quantitative model, and the solution must be translated back to the application domain The second mainstream approach to plan generating techniques focuses on imitating human problem-solving processes in so-called rule-based, expert, or knowledge systems, also called the transfer view (Schreiber et al, 1993, 2000), because the knowledge to solve planning problems is extracted from a human and transferred into a computer program For this approach, the problem-solving approach of the human scheduler must be analyzed.
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