Case studies of SNePS · Artificial intelligence · Knowledge representation and reasoning · Machine learning · Machine learning approaches · Rule learning.

Oct 22, 2024 · The features demonstrated in the case studies are: nonstandard connectives; the use of recursive rules; the Unique Variable Binding Rule, that ...

This paper expands on this motivation, discusses some of the system features that derived from this motivation, and presents four case studies of interactions ...

This paper expands on this motivation, discusses some of the system features that derived from this motivation, and presents four case studies of interactions ...

SNePS, the Semantic Network Processing System, has been designed to be a system for representing the beliefs of a natural-language-using intelligent system ...

Dec 7, 2009 · Contains examples of SNePS-2's use in natural-language understanding. Shapiro, Stuart C. (1991), "Case Studies of SNePS", Special Issue on ...

Sep 13, 2022 · SNePS is a network-based, logic-based, and frame-based KRRA system. Assertions (propositions) about various entities make up a SNePS knowledge base (KB).

Shapiro, Stuart C. (1991), \Case Studies of SNePS", Special Issue on Implemented Knowledge Representation and Reasoning Systems, SIGART Bulletin 2.3 (June): 128 ...

In this article, the main features of SNePS are sketched, its antecedents are discussed, and some example current uses are described.

Feb 18, 2024 · SNePS has spurred several developments in AI research and shaped the evolution of other knowledge representation systems throughout the years.