The Computational Theory of Intelligence: Data Aggregation - International Journal of Modern Nonlinear Theory and Application

IJMNTA > Vol.3 No.4, September 2014

International Journal of Modern Nonlinear Theory and Application

Volume 3, Issue 4 (September 2014)

ISSN Print: 2167-9479 ISSN Online: 2167-9487

Google-based Impact Factor: 0.5 Citations

The Computational Theory of Intelligence: Data Aggregation ()

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DOI: 10.4236/ijmnta.2014.34016 2,957 Downloads 4,254 Views Citations

Author(s)

Daniel Joseph Kovach^1*

Affiliation(s)

¹Kovach Technologies, San Jose, CA, USA.

ABSTRACT

In this paper, we will expound upon the concepts proffered in [1], where we proposed an information theoretic approach to intelligence in the computational sense. We will examine data and meme aggregation, and study the effect of limited resources on the resulting meme amplitudes.

KEYWORDS

Artificial Intelligence, Computer Science, Intelligence, Machine Learning, Meme

Share and Cite:

Kovach, D. (2014) The Computational Theory of Intelligence: Data Aggregation. International Journal of Modern Nonlinear Theory and Application, 3, 145-149. doi: 10.4236/ijmnta.2014.34016.

Cited by

[1]	Computer Automatic Course Arrangement Based on Artificial Intelligence/Arranjo Automático de Curso Automático Baseado em Inteligência Artificial
	2017

[2]	The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines
	arXiv preprint arXiv:1412.6144, 2014