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Game NIM dengan Reinforcementr Learning

Putra, Kresna Ade and Martiana, Entin and Fathoni, Kholid (2010) Game NIM dengan Reinforcementr Learning. eepis final project.

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    Aritficial Intelligent (AI) can be interpreted as an area of science that convert the human process of thinking and then design the machine so that the machine can imitate human behaviour of thinking. But from so much Artificial Intelegent theory, start from Graph theory, Tree theory, State theory, knowledge based system, till expert system , none of those theory is true according to the meaning of AI itselves. Those theory just depending on the merger of Tree theory and probability theory to take some decision, like expert system does. This fact then constitutoing the scientist to start to learn about machine learning. One of machine learning theory is reinforcement learning. These theory meaning is how to make machine became smart after it interact with it�s environment, as human did.. This theory is competent with the definition of AI. Just if these theory can be transformed into computational system, hence there will be a huge change in computational learning theory. Keywords: Game NIM, Artificial Intelegent, Reinforcement Learning

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Ms Annisa Nurul Faridha
    Date Deposited: 29 Jul 2011 15:17
    Last Modified: 29 Jul 2011 15:17

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