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Automatic Identification of Human Strategies by Cognitive Agents

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KI 2014: Advances in Artificial Intelligence (KI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8736))

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Abstract

So far most cognitive modeling approaches have concentrated on modeling and predicting the actions of an “average user” – a user profile that in reality often does not exist. User performance is highly dependent on psychological factors like working memory, planning depth, search strategy etc. that differ between users. Therefore, we propose a combination of several AI methods to automatically identify user profiles. The proposed method assigns each user a set of cognitive agents which are controlled by several psychological factors. Finally, this method is evaluated in a case study on preliminary user data on the PSPACE-complete planning problem Rush-Hour.

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© 2014 Springer International Publishing Switzerland

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Steffenhagen, F., Albrecht, R., Ragni, M. (2014). Automatic Identification of Human Strategies by Cognitive Agents. In: Lutz, C., Thielscher, M. (eds) KI 2014: Advances in Artificial Intelligence. KI 2014. Lecture Notes in Computer Science(), vol 8736. Springer, Cham. https://doi.org/10.1007/978-3-319-11206-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-11206-0_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11205-3

  • Online ISBN: 978-3-319-11206-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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