A Computational Model for Machine Thinking

TL;DR

This paper proposes a machine thinking model that integrates computer vision and neuroscience insights to generate natural language sentences or sketches as outputs from reasoning processes.

Contribution

It introduces a novel computational framework combining vision and neuroscience to produce informative or decisional outputs through reasoning.

Findings

Generated natural language and sketches from reasoning processes.

Integrated neuroscience findings into machine thinking models.

Demonstrated reasoning-based output generation.

Abstract

A machine thinking model is proposed in this report based on recent advances of computer vision and the recent results of neuroscience devoted to brain understanding. We deliver the result of machine thinking in the form of sentences of natural-language or drawn sketches either informative or decisional. This result is obtained from a reasoning performed on new acquired data and memorized data.