Reverse Engineering, Some Board Games as a Key to the Development of Artificial Intelligence and Construction of Economic Models
AbstractReverse engineering, also called back engineering, is the process of extracting knowledge or designing information from anything: mechanical device electronic components, computer programs, or biological, chemical matters, and—subsequently—analyzing its components. Reverse engineering can be applied for the sake of creating artificial intelligence, e.g. when the used methods are based on very old games, such as Go and chess. Many generations of computers are able to play at the same level as human grandmasters. A computers’ arrival at that level is due to imitation of human Go or chess play. A particular emphasis shall be placed upon the Go game, known for 5,500 years. Invented in China, it may be classified as the oldest board game, having its ardent enthusiasts until present times. Old physical issues can be easily projected upon the modeling of new economic phenomena and quantum games. The aim of this paper is to discuss the applications of reverse engineering, traditional social games and other domains, such as quantum physics, to the analysis of utterly new social as well as economic phenomena.
|Journal series||Economics World, ISSN 2328-7144, (0 pkt)|
|Publication size in sheets||0.55|
|Keywords in English||reverse engineering, category theory, quantum games, social games, modelling of economic phenomena|
|Score||= 5.0, 11-07-2019, ArticleFromJournal|
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