Artificial Intelligence


A Feasible Path to a Machine that Can Pass the Turing Test.

Authors: Tofara Moyo

In this paper we will outline a NLP system that is based largely in graph theory, and together with techniques found in linear algebra we will be able to model the rules of logic. Inference from given data in natural language format will then be done by creating a mapping between the premises and the conclusion. During training the vector that is responsible for taking us from the space that the premise occupies to the space that the conclusion occupies will represent the particular logical rule used.Also training involves determining a particular vector for the job.

Comments: 5 Pages.

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Submission history

[v1] 2018-02-03 05:25:39

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