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COSAIR: A Platform for AI Education and Research in Computer Strategy Games.

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Τίτλος: COSAIR: A Platform for AI Education and Research in Computer Strategy Games.
Συγγραφείς: Obradovič, Darko
Πηγή: Ki 2008: Advances in Artificial Intelligence; 2008, p397-398, 2p
Περίληψη: Computer strategy games are very challenging for AI agents and highly interesting for students. We present a game platform specifically developed to support practical AI education of students. Featuring all the complexity criteria in a simplified form, it easily supports the evaluation of bots, the reuse of existing AI modules, the inclusion of learning techniques and the sharing of results and code. The platform has been used by a number of students and proved to be in a fairly mature state. [ABSTRACT FROM AUTHOR]
Copyright of Ki 2008: Advances in Artificial Intelligence is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Computer strategy games are very challenging for AI agents and highly interesting for students. We present a game platform specifically developed to support practical AI education of students. Featuring all the complexity criteria in a simplified form, it easily supports the evaluation of bots, the reuse of existing AI modules, the inclusion of learning techniques and the sharing of results and code. The platform has been used by a number of students and proved to be in a fairly mature state. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ki 2008: Advances in Artificial Intelligence is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/978-3-540-85845-4_52
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      – Code: eng
        Text: English
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        PageCount: 2
        StartPage: 397
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              Text: 2008
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