Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/82108
Title: Game complexity vs strategic depth
Authors: Stephenson, Matthew
Perez-Liebana, Diego
Nelson, Mark
Khalifa, Ahmed
Zook, Alexander
Keywords: Computer games -- Design
Artificial intelligence
Machine learning
Issue Date: 2019
Publisher: National Institute of Informatics, Japan
Citation: Stephenson, M., Perez-Liebana, D., Nelson, M., Khalifa, A., & Zook, A. (2019). Game complexity vs strategic depth. NII Shonan Meeting 130, Shonan.
Abstract: The notion of complexity and strategic depth within games has been a long- debated topic with many unanswered questions. How exactly do you measure the complexity of a game? How do you quantify its strategic depth objectively? This seminar answered neither of these questions but instead presents the opinion that these properties are, for the most part, subjective to the human or agent that is playing them. What is complex or deep for one player may be simple or shallow for another. Despite this, determining generally applicable measures for estimating the complexity and depth of a given game (either independently or comparatively), relative to the abilities of a given player or player type, can provide several bene ts for game designers and researchers.
URI: https://www.um.edu.mt/library/oar/handle/123456789/82108
Appears in Collections:Scholarly Works - InsDG

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