Open AccessA Natural Logic for Artificial Intelligence, and its Risks and Benefits
Author(s) -
Gyula Klima
Publication year - 2021
Publication title -
computer science and information technology ( cs and it )
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.110710
Subject(s) - computer science , natural language , predicate logic , fragment (logic) , semantics (computer science) , artificial intelligence , natural language understanding , description logic , natural (archaeology) , natural language processing , predicate (mathematical logic) , programming language , archaeology , history
This paper is a multidisciplinary project proposal, submitted in the hopes that it may garner enough interest to launch it with members of the AI research community along with linguists and philosophers of mind and language interested in constructing a semantics for a natural logic for AI. The paper outlines some of the major hurdles in the way of “semantics-driven” natural language processing based on standard predicate logic and sketches out the steps to be taken toward a “natural logic”, a semantic system explicitly defined on a well-regimented (but indefinitely expandable) fragment of a natural language that can, therefore, be “intelligently” processed by computers, using the semantic representations of the phrases of the fragment.