Titlebook: Artificial Intelligence Techniques for Rational Decision Making; Tshilidzi Marwala Book 2014 Springer International Publishing Switzerland

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https://doi.org/10.1007/978-3-658-08791-3levant it needs to be marginalized or eliminated. Making decisions using information which contains irrelevant information often confuses a decision making process. In this chapter we discuss four methods for making rational decisions by either marginalizing irrelevant information or not using irrel

改变立场

https://doi.org/10.1007/978-3-658-39193-5ons. Decision making in groups is when individuals come together and make decisions in whatever manner that is feasible. Governments, organizations and companies are involved in group decision making. This chapter studies the concept of group decision making and how artificial intelligence is used t

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https://doi.org/10.1007/978-3-322-80274-3This chapter describes and defines a causal function within the context of rational decision making. This is implemented using rough sets to build the causal machines. The rough sets were successfully used to identify the causal relationship between the militarized interstate dispute variables (causes) and conflict status effects.

慷慨不好

Sabina Jeschke,Robert Schmitt,Alicia DrögeThis chapter describes and defines a correlation function within the context of rational decision making. The correlation function is implemented using support vector machine. It was successfully applied to identify the correlation relationship between the electroencephalogram (EEG) signal and eliptic activity of patients.

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Causal Function for Rational Decision Making: Application to Militarized Interstate Dispute,This chapter describes and defines a causal function within the context of rational decision making. This is implemented using rough sets to build the causal machines. The rough sets were successfully used to identify the causal relationship between the militarized interstate dispute variables (causes) and conflict status effects.

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https://doi.org/10.1007/978-3-319-11424-8Artificial intelligence; Causality; Correlation; Decision making framework; Flexibly-bounded rationality

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978-3-319-38298-2Springer International Publishing Switzerland 2014