Intelligent Decision Support Algorithm Based on Self-Adaption Reasoning
Keywords:
intelligent decision support, propositional logic, non-monotonic logic, descriptive logic, fuzzy logic, automatic reasoning.Abstract
This paper analyzes the logic deduction and reasoning techniques used in several intelligent decision support algorithms, and proposes a flexible planning method GARIv using fuzzy descriptive logic in media enterprise management. Combined with experiments, the above methods are illustrated in terms of effectiveness and feasibility. In the end, the challenges and possible solutions of intelligent decision support algorithms with self-adaption reasoning are discussed.References
Aleksander I., Farreny H., Ghallab M. (1987); Robot technology: decision and intelligence, Hardcover, 1987.
Carmen R., Defraeye M., Nieuwenhuyse I.V. (2015); A decision support system for capacity planning in emergency departments, International Journal of Simulation Modelling, 14(2), 299-312, 2015. https://doi.org/10.2507/IJSIMM14(2)10.308
Cresswell S.N., Mccluskey T.L., West M.M. (2013); Acquiring planning domain models using locm, Knowledge Engineering Review, 28(2), 195-213, 2013. https://doi.org/10.1017/S0269888912000422
Fox M., Long D. (2003); Pddl2.1: an extension to pddl for expressing temporal planning domains, Journal of Artificial Intelligence Research, 20(20), 61-124, 2003.
Galichon A., Henry-Labordere P., Touzi N. (2014); A stochastic control approach to noarbitrage bounds given marginals, with an application to lookback options, Annals of Applied Probability An Official Journal of the Institute of Mathematical Statistics, 24(1), 312-336, 2014.
Ghallab M., Nau D., Traverso P. (2014); The actor's view of automated planning and acting: a position paper, Artificial Intelligence, 208(1), 1-17, 2014.
Laborie P. (2003); Algorithms for propagating resource constraints in ai planning and scheduling: existing approaches and new results, Artificial Intelligence, 143(2), 151-188, 2003. https://doi.org/10.1016/S0004-3702(02)00362-4
Mahmood N. (2015); Connectionism strategy for industrial accident-oriented emergency decision-making: a simulation study based on pcs model, International Journal of Simulation Modelling, 14(4), 633-646, 2015. https://doi.org/10.2507/IJSIMM14(4)6.315
Mali A.D., Tang M. (2016); Path-cost bounds for parameterized centralized variants of a* for static and certain environments. International Journal on Artificial Intelligence Tools, 25(04), 1650028, 2016. https://doi.org/10.1142/S0218213016500287
Neumann B. (ed.) (1992); Proceedings of the 10th European conference on Artificial intelligence. European Conference on Artificial Intelligence, John Wiley & Sons, Inc, 1992.
Sharon G., Stern R., Goldenberg M., Felner A. (2013); The increasing cost tree search for optimal multi-agent pathfinding, Artificial Intelligence, 195, 470-495, 2013. https://doi.org/10.1016/j.artint.2012.11.006
Shivaie M., Ameli M.T. (2014); An implementation of improved harmony search algorithm for scenario-based transmission expansion planning, Springer-Verlag, 2014.
Wah B. W., Chen Y. (2006); Constraint partitioning in penalty formulations for solving temporal planning problems, Artificial Intelligence, 170(3), 187-231, 2006. https://doi.org/10.1016/j.artint.2005.07.001
Zhang Z.H., Hu C. (2015); Multi-model stability control method of underactuated biped robots based on imbalance degrees, International Journal of Simulation Modelling, 14(4), 647-657, 2015. https://doi.org/10.2507/IJSIMM14(4)7.318
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