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Measuring strategic depth in games using hierarchical knowledge bases | IEEE Conference Publication | IEEE Xplore

Measuring strategic depth in games using hierarchical knowledge bases


Abstract:

This paper presents a measure intended to quantify the relative strategic depth of games as experienced by human players. The measure is based on the complexity (number a...Show More

Abstract:

This paper presents a measure intended to quantify the relative strategic depth of games as experienced by human players. The measure is based on the complexity (number and specificity of rules) of a hierarchical knowledge base that is extracted from playtraces. As a proof-of-concept, we compute the proposed measure for three arcade-style games and compare the results to the strategic depth reportedly perceived by human players in a survey. We find that our measure is practicable and able to capture the differences in strategic depth very accurately.
Date of Conference: 22-25 August 2017
Date Added to IEEE Xplore: 26 October 2017
ISBN Information:
Electronic ISSN: 2325-4289
Conference Location: New York, NY, USA

References

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