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International Journal of Modern Nonlinear Theory and Application
Submission
International Journal of Modern Nonlinear Theory and Application
ISSN Print:
2167-9479
ISSN Online:
2167-9487
www.scirp.net/journal/ijmnta
E-mail:
[email protected]
Google-based Impact Factor:
0.5
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"
The Computational Theory of Intelligence: Information Entropy
"
written by
Daniel Kovach
,
published by
International Journal of Modern Nonlinear Theory and Application
,
Vol.3 No.4, 2014
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
The Mind-Brain Problem Bose-Einstein Statistics, Temperature, Heat, Entropy God and Other Elementary Particles
2020
[2]
Les structures évolutionnaires de la résilience. Modélisation systémique de la durabilité des systèmes territoriaux, l'exemple de la sécheresse de 2012 aux …
2018
[3]
Les structures évolutionnaires de la résilience
2018
[4]
Adaptive prior probabilities via optimization of risk and entropy
2018
[5]
Adaptive decision making via entropy minimization
International Journal of Approximate Reasoning
,
2018
[6]
The Computational Theory of Intelligence: Feedback
2017
[7]
Computer Automatic Course Arrangement Based on Artificial Intelligence/Arranjo Automático de Curso Automático Baseado em Inteligência Artificial
2017
[8]
The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines
arXiv preprint arXiv:1412.6144
,
2014
[9]
The Computational Theory of Intelligence: Data Aggregation
2014
[10]
A Bio-Inspired Metaheuristic Algorithm Based on New Laws of Survival And Reinforcement Learning
[11]
A New Description of Survival Laws and Intelligence in Living Organism Applications and Relation with Swarm Intelligence Optimization
[1]
The Computational Theory of Intelligence: Feedback
International Journal of Modern Nonlinear Theory and Application
,
2017
DOI:
10.4236/ijmnta.2017.62006
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