Foregery 发表于 2025-3-25 06:08:16
Preliminaries,ose which are different for different logical languages; the syntax specifies what strings of symbols are meaningful (formulas) in logic, and the semantics specifies the truth-values of formulas under an assignment (or a model).食品室 发表于 2025-3-25 08:09:11
R-Calculi for First-Order Logic,on-based minimal change, respectively. For first-order logic [., ., .], because the undecidability of deduction relation we will give R-calculi without deciding whether . which are sound and complete with respect to .-minimal change, respectively [.].Palliation 发表于 2025-3-25 12:36:51
Approximate R-Calculus, . then the algorithm gives no. A set . is semi-decidable if there is an algorithm to decide whether a given . is in ., such that (i) if . then the algorithm gives yes, and (ii) if . then the algorithm may not terminate.古董 发表于 2025-3-25 17:13:21
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R-Calculi for Description Logics,n relation of description logics is between the ones of the deduction relation of the former and of the latter. Even though the quantifier . occurs in the concept constructor . its equivalent form in first-order logic is a guarded first-order formula, and the deduction relation in the guarded first-使显得不重要 发表于 2025-3-26 09:44:08
R-Calculi for First-Order Logic,ative R-calculi for first-order logic, where . are sound and complete with respect to subset-minimal change, pseudo-subformula minimal change, deduction-based minimal change, respectively. For first-order logic [., ., .], because the undecidability of deduction relation we will give R-calculi withouCupping 发表于 2025-3-26 15:07:38
Nonmonotonicity of R-Calculus, logic, first-order logic, modal logic, etc., are monotonic. The nontraditional logics, such as default logic, R-calculi, autoepistemic logic, circumscription, etc., are nonmonotonic. The nonmonotonicity of a nonmonotonic logic follows from using a negation . of a monotonic deduction . [.]. We foundCatheter 发表于 2025-3-26 18:38:37
Approximate R-Calculus, set . is decidable [., .] if there is an algorithm to decide whether a given . is in ., such that (i) if . then the algorithm gives yes, and (ii) if . then the algorithm gives no. A set . is semi-decidable if there is an algorithm to decide whether a given . is in ., such that (i) if . then the a