F. Berthier, Solving Financial Decision Problems with CHIP, Proceeedings of the 2nd Conference on Economics and Artificial Intelligence - CECIOA 2, Paris, 233--238, June 1990. Home/Search Document Not in Database Summary Related Articles Check |
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Constraint Logic Programming: A Survey - Jaffar, Maher (1994) (359 citations) (Correct)
....engineering applications such as these use CLP to specify a hierarchical composition of complex systems and for rule based reasoning. Another important application area for CLP is finance. We mentioned the OTAS work above. Some further work is [119] which also deals with option valuations, and [23, 24, 37] which deal with financial planning. These financial applications have tended to take the form of expert systems involving sophisticated mathematical models. There have been various proposals for including certainty measures and probabilities in logic programs to provide some built in evidential ....
F. Berthier, Solving Financial Decision Problems with CHIP, Proceeedings of the 2nd Conference on Economics and Artificial Intelligence - CECIOA 2, Paris, 233--238, June 1990.
Over-Constrained Systems in CLP and CSP - Jampel (1996) (2 citations) (Correct)
....successful practical applications solving difficult and commercially important real world problems. Examples include scheduling for factories and for computer instruction sets; financial applications such as options and portfolio analysis; and modelling water usage, DNA, and electrical circuits [3, 10, 23, 24, 38, 39, 64, 72, 78, 79, 86]. Many problems which previously appeared local to a particular application domain, and which were therefore solved in an ad hoc manner, can now be seen as instances of constraint problems. For example, AI applications as disparate as machine vision and belief revision can now be considered in ....
Fran¸coise Berthier. Solving Financial Decision Problems with CHIP. In J.-L. Le Moigne and P. Bourgine, editors, CECOIA 2: Proceeedings 2nd Conference on Economics and Artificial Intelligence, pages 233--238, Paris, June 1990.
Optimizing Compilation for CLP(R) - Marriott, Søndergaard, Stuckey, Yap (Correct)
....hierarchical composition of complex systems, mathematical or boolean models, and especially in the case of diagnosis and design deep rule based reasoning; hence they are particularly suited to constraint logic programming. Another major area has been options trading [6] and financial planning [2] where applications have taken the form of expert systems involving mathematical models. Other applications are in traditional operations research problems, such as cutting stock and scheduling. More exotic applications have included restriction site mapping in genetics [17] and generating test ....
F. Berthier. Solving financial decision problems with CHIP. In Proc. Conf. Economics and Artificial Intelligence, 233--238. Paris, 1990.
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