Artificial Intelligence

   

A General Theory of Artificial Intelligence

Authors: Matthew Groom

This will be the first paper to truly answer the question of Artificial Intelligence, what sets us apart as a smart, intelligent species from Natural Language Processing (NLP), Machine Learning (ML) and all other forms of computer learning to date. I cover the various theoretical requirements to building the first AI. Loose terms such as Qualia are given exact meanings allowing people to code them. A staging roadmap to achieve full general Artificial Intelligence is also included. This paper is theoretical, through the introduction and background I will be taking you on the journey through many of my submissions in comments on blogs and articles and identifying where ground-breaking articles or papers were written from topics and information I posted. Putting all the pieces together so by the end of this paper you should have a clear understanding of Artificial Intelligence and how to build one. You will see exactly why the current fad of massive classification systems/deep learning are examples of expert systems. Answering the simple ‘I am 42% sure it is a book’ scenario.

Comments: 13 Pages.

Download: PDF

Submission history

[v1] 2019-11-21 02:49:53

Unique-IP document downloads: 45 times

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