Abstract
Many decision problems can be considered as searching for an element in a finite set. Classical approaches lead to sophisticated combinatorial optimization algorithms that exploit a lot of the structure of the decision situation. Often these algorithms are not easy to adapt to new constraints on decisions imposed by the decision makers.
Our approach to the generation of decisions is to use general search methods that are easy to adapt in case of new constraints. In general they give less good decisions but are more robust. A general-purpose shell based on these search methods is sketched using Prolog. As an illustration two decision problems are treated: the travelling salesman problem and precedence constrained scheduling.
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© 1991 Springer-Verlag Wien
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van Hee, K.M., Nuijten, W.P.M. (1991). A Decision Generator Shell in Prolog. In: Lewandowski, A., Serafini, P., Speranza, M.G. (eds) Methodology, Implementation and Applications of Decision Support Systems. CISM International Centre for Mechanical Sciences, vol 320. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2606-6_3
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DOI: https://doi.org/10.1007/978-3-7091-2606-6_3
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82297-5
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