Harmonisation of Soft Logical Inference Rules in Distributed Decision Systems

Author(s):  
Juliusz L. Kulikowski
2020 ◽  
Vol 9 (2) ◽  
pp. 243-282
Author(s):  
Andrew Schumann

Abstract In this paper, I show that we can find some foundations of logic and legal argumentation in the tablets of Mesopotamia at least since the dynasty of Ur III. In these texts, we see the oldest correct application of logical inference rules (e.g. modus ponens). As concerns the legal argumentation established in Mesopotamia, we can reconstruct on the basis of the tablets the following rules of dispute resolutions during trials: (1) There are two parties of disputants: (i) a protagonist who formulates a standpoint and (ii) an antagonist who disagrees with the protagonist’s standpoint and formulates an alternative statement. (2) There is a rational judge represented by high-ranking citizens who should follow only logical conclusions from facts and law articles as premises.


2019 ◽  
Vol 17 (3) ◽  
pp. 29-42 ◽  
Author(s):  
A. I. Kapustina ◽  
D. E. Palchunov

The article is devoted to the development of new knowledge generation methods based on the analysis of natural language texts. To extract knowledge from natural language texts, the method of presenting sentences in the form of binary predicates with new constant-situation is used. For the representation of knowledge in a formal form, we use quantifier-free sentences of predicate logic, as well as the OWL DL language. The generation of new knowledge is realized with the help of reasoners, using pre-defined patterns of inference rules. A software system has been developed that allows users to get answers to specific questions related to given natural language texts. The answers are built in a natural language, using not only the knowledge that is explicitly contained in the document being processed, but also the knowledge generated by the reasoners.


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