Titlebook: Smart Education Best Practices in Chinese Schools; Haijun Zeng,Jiahao Liu,Lijie Yue Book 2023 The Editor(s) (if applicable) and The Author

闲聊

使坚硬

Decao Chen,Jianyin XieFinally, we extend the framework to incorporate knowledge using the machinery of subset space logic [.], and show that the topological interpretation of public announcements as given in [.] coincides exactly with a natural interpretation of test programs.

烦人

Yufeng Tong,Xiaoxia Yang,Xiaomei Yu,Ronghua Xug of intersection types based on FSDs. Notably, our translation works without needing anything like the usual troublesome intersection-introduction rule that proves a pure untyped .-term . has an intersection type . using . independent subderivations. As such, our approach is useful for language imp

OTTER

Jiahao Liu,Zhisheng Liy relations and quantification in these phenomena. Then we present, in a conceptual way, the mathematics behind the process of polyadic quantification over dependent types. The main new feature is the left strength on the cartesian monad over a basic fibration of a topos. It combines with what we ca

华而不实

补助

Hong Zhou,Ru Baial values 0 and 1. In particular, we provide two main formal contributions. First, we give a characterization of their relations of (multiple-conclusion) logical consequence—that is, necessary and sufficient conditions for a set . of formulas to logically follow from a set . of formulas in . or .. S

慢跑

Zhengrong Shen recursive programs. We derive this operator from the natural type theoretic definition of . using intersection type. We show that provable formulas in . are uniformly realizable, thus . is sound with respect to constructive type theory. We further outline how . can serve as a natural framework for

Urologist

Jiahao Liu,Zhisheng Li recursive programs. We derive this operator from the natural type theoretic definition of . using intersection type. We show that provable formulas in . are uniformly realizable, thus . is sound with respect to constructive type theory. We further outline how . can serve as a natural framework for

尖

COW

Juanying Zhang,Xiong Xu,Yan Hu,Yuanyuan Liconclusions based on such information can be modeled by default reasoning. Since predictions can go wrong, a second strategy for retracting wrong guesses is needed in order to integrate (unexpected) words into the prior context. This is modeled by belief revision. We model both processing stages, ma