Presentation 2022-02-28
Observation Dialogue game and Impact on Strategy by Matrix-type Knowledge
Ryunosuke Narikiyo, Youichiro Miyake,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we deal with Artificial Intelligence in agents as players in “INSIDER”, which is Imperfect Information Dialogue game players reason about information other player have. In the “COOPERATIVE PART” of “INSIDER”, we conduct three experiments to confirm how agent’s game progress would change if we added attribute information that explains things to the matrix-type knowledge. The experiments show that the attribute information that is given to agents influences the question selection of agents.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Dialogue game / Information Entropy / Matrix-type Knowledge list / Agents
Paper # AI2021-14
Date of Issue 2022-02-21 (AI)

Conference Information
Committee AI
Conference Date 2022/2/28(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Youth Hostel Sunflower MIYAZAKI
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuichi Sei(Univ. of Electro-Comm.)
Vice Chair Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.)
Assistant Kazutaka Matsuzaki(Chuo Univ.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Observation Dialogue game and Impact on Strategy by Matrix-type Knowledge
Sub Title (in English) Question Selection of “INSIDER” Agents
Keyword(1) Dialogue game
Keyword(2) Information Entropy
Keyword(3) Matrix-type Knowledge list
Keyword(4) Agents
1st Author's Name Ryunosuke Narikiyo
1st Author's Affiliation Rikkyo University(Rikkyo Univ.)
2nd Author's Name Youichiro Miyake
2nd Author's Affiliation Rikkyo University(Rikkyo Univ.)
Date 2022-02-28
Paper # AI2021-14
Volume (vol) vol.121
Number (no) AI-382
Page pp.pp.13-18(AI),
#Pages 6
Date of Issue 2022-02-21 (AI)