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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/8836

Title: Minimum Nomic : a tool for studying rule dynamics
Authors: Hatakeyama, Masaomi
Hashimoto, Takashi
Keywords: Rule dynamics
Self-amendment
Self-reference
Nomic
Evolvability
Issue Date: 2009-03
Publisher: Springer
Magazine name: Artificial Life and Robotics
Volume: 13
Number: 2
Start page: 500
End page: 503
DOI: 10.1007/s10015-008-0605-6
Abstract: We propose a kind of self-amendment game, Minimum Nomic, as a model to study rule dynamics. Nomic is a game in which changing a rule of the game is a move. Minimum Nomic is a reduced version of the original Nomic, which keeps the essence but promotes the evolvability of the self-amendment game. We discuss the characteristics of Minimum Nomic from the viewpoint of how the changeability of the rules and the durability of the games change with the progress of the game. By analyzing the dynamics of purpose and goals, and the self-referential property in observations of the games played, we claim that Minimum Nomic is an interesting tool to study rule dynamics.
Rights: This is the author-created version of Springer, Masaomi Hatakeyama and Takashi Hashimoto, Artificial Life and Robotics, 13(2), 2009, 500-503. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/s10015-008-0605-6
URI: http://hdl.handle.net/10119/8836
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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