I&s Benefits and Consequences of Automated Learning in Computer Generated Forces Systems

نویسنده

  • Mikel D. PETTY
چکیده

Should computer generated forces (CGF) systems include automated learning capabilities? The CGF research literature contains many statements by CGF experts that the ability to learn will be generally valuable, even necessary, in future CGF systems. A variety of significant benefits for CGF systems and military simulation in general are claimed to follow from automated learning. However, upon closer examination, it seems to be not so obvious that learning by CGF systems would necessarily be beneficial for many uses of CGF systems. This paper takes a respectfully skeptical position regarding CGF learning and provides arguments that CGF learning could compromise and confound the utility of CGF systems for the most common CGF applications.

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تاریخ انتشار 2004