Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874460 | Journal of Computational Science | 2018 | 7 Pages |
Abstract
Learning automaton (LA) as a promising technique of artificial intelligence is a self-adaptive decision-making device that interacts with an unknown stochastic environment and is progressively able to make optimal decisions even if provided with probabilistic wrong hints. LA has made a significant impact in many areas of computational science as well as engineering problems. The special issue on new applications of learning automata-based techniques in real-world environments for journal of computational science aims at collecting some of the most recent researches regarding theories, structures, and appliances of LA in real-world problems. This editorial summarizes the papers accepted in the special issue.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Alireza Rezvanian, S. Mehdi Vahidipour, Mehdi Esnaashari,