causality/ C1230R Reasoning and inference in AI C6170K Knowledge engineering techniques C4240C Computational complexitySummary: In this paper we examine ten concrete propositional update operations of the liter
Unlike previous AI formalisms, our focus here is on mechanized proofs and proof programmability, not on metamathematical results. Reasoning is performed via relatively cognitively plausible inference rules, and a degree of automation is achieved by generalpurpose inference methods and by a syntactic ...
Moreover, variable values are not numbers but words or sentences in a natural or artificial language. In real uncertainty reasoning and approximate inference, there exist many situations in which the information can not be assessed precisely in a quantitative form but may be in a qualitative one ...
fuzzy Kripke semantics/ C4210 Formal logic C1230R Reasoning and inference in AIWe establish in this paper a fuzzy propositional modal logic, FPML, and the associated semantics, fuzzy Kripke semantics. We prove that FPML is sound and complete. Furthermore, we set up a formalized reasoning ...
Compilation of Propositional Weighted Bases - Darwiche, Marquis () Citation Context ...sic tasks from major AI areas, like inference (both classical and nonmonotonic, see among others (Selman & Kautz 1996; Val 1994; Schrag 1996; Boufkhad et al. 1997; Coste-Marquis & Marquis 2001; 2004; ...
Inference rules are deduced for them analogous to Modus Ponens and Modus Tollens in the classical propositional logic. Values of the complex variables are obtained, corresponding to TRUE (T) and FALSE (F) in the classic propositional logic. A conclusion may be made from the initial assumptions ...
2. To improve the RunSAT performance, we propose a general pre-processing mechanism (based on abductive inference =-=[14]-=-, [15]) to pre-compute query failure conditions. Further, we identify a set of simple yet common event constraints that allow constant time RunSAT (Section IV). 3...
This theorem proving is a logical inference process from given statements and logical relations among them. In the simulation, we counted the number of bonds and the number of target double-strande...Lee I H,Park J Y,Jang H M, et al.DNA implementation of theorem proving with resolution ...
The proof of this equivalence uses a restricted form of ND proofs, where hypotheses in the application of the Reductio of Absurdum inference rule are required to be "relevant" to the absurdity derived in the rule. The paper also discusses how the argumentative re-interpretation of PL coul...
BNNs are suitable for working in limited-resource devices, improving the inference speed. However, in contraposition, BNNs may lose accuracy and precision, in particular when both activation and weights are binary [54,55,56]. DEXiRE employs binary neural networks to discretize only the neuron ...