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Procedia - Social and Behavioral Sciences
Article . 2012 . Peer-reviewed
License: CC BY NC ND
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Evolutionary Neural Network for Othello Game

Authors: Gunawan, ; Armanto, Hendrawan; Santoso, Joan; Giovanni, Daniel; Kurniawan, Faris; Yudianto, Ricky; Steven, ;

Evolutionary Neural Network for Othello Game

Abstract

AbstractGame playing is a game method that require an AI (Artificial Intelligence), so that an AI can play against human in a game. Artificial intelligence involves two basic ideas[4]. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes via machines (like computers, robots, etc.). AI is behavior of a machine, which, if performed by a human being, would be called intelligent. It makes machines smarter and more useful, and is less expensive than natural intelligence.Othello is one example of game playing using AI. Even though it may appear as though Othello is a fairly simple game, there still are many important aspects of the game to consider. The most important of these are the evaluation function and searching algorithms. Why are these important? First of all, the game would be nothing without an evaluation function. And there are many interesting aspects of the evaluation which can greatly affect both efficiency as well as game play. Second, a good searching algorithm can fulfill the ideal properties of a good heuristic, providing a good answer in a reasonable amount of time.

Related Organizations
Keywords

Genetic, Reversi, Neural Network, Evolutionary Neural Network, Game Playing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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