Titlebook: Intelligence Science III; 4th IFIP TC 12 Inter Zhongzhi Shi,Mihir Chakraborty,Samarjit Kar Conference proceedings 2021 IFIP International F

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書目名稱Intelligence Science III讀者反饋學(xué)科排名

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Hexagon of Intelligenceo characterize what intelligence is, its relation with computability, creativity, understanding and undecidability..In a first part, we make some general comments about the history, development and objectives of AI. In a second part, we present two diametrically opposed ways of reasoning, one comput

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Logical Treatment of Incomplete/Uncertain Information Relying on Different Systems of Rough Setsground knowledge and we cannot say more about an arbitrary set or about its members than its lower and upper approximations make possible. New membership relations have to be introduced. The semantics of classical logic is based on classical set theory. An important question: Is it possible to build

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P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Taskson theory. This theory uses the P-T probability framework so that likelihood functions and truth functions (or membership functions), as well as sampling distributions, can be put into the semantic mutual information formula at the same time. Hence, we can connect statistics and (fuzzy) logic. Rate-

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Trilevel Multi-criteria Decision Analysis Based on Three-Way DecisionCDA). The main motivations and contributions are a new understanding of multi-criteria decision analysis at three levels: 1) single-criterion-level analysis with respect to individual criteria, 2) multi-criteria-level aggregation by pooling results from many criteria, and 3) multi-methods-level ense

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