| 期刊全稱 | Artificial Intelligence Techniques for Rational Decision Making | | 影響因子2023 | Tshilidzi Marwala | | 視頻video | http://file.papertrans.cn/163/162147/162147.mp4 | | 發(fā)行地址 | Presents new insights into the theories of bounded rationality and counterfactuals.Explains the theories and applications of artificial intelligence in biomedical sciences, engineering, economics and | | 學(xué)科分類 | Advanced Information and Knowledge Processing | | 圖書封面 |  | | 影響因子 | .Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence..Artificial Intelligence Techniques for Rational Decision Making .examines and. .defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize theattainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making:.Theory of the marginaliza | | Pindex | Book 2014 |
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