- 著者
-
前野 義晴
大澤 幸生
- 出版者
- The Japanese Society for Artificial Intelligence
- 雑誌
- 人工知能学会論文誌 = Transactions of the Japanese Society for Artificial Intelligence : AI (ISSN:13460714)
- 巻号頁・発行日
- vol.22, pp.389-396, 2007-11-01
- 被引用文献数
-
4
3
This paper addresses a new problem to infer an invisible fixer in an organization from communication (node discovery problem). Human-interactive annealing together with crystallization algorithm aims at inventing scenarios from the gap between prior understanding and observation. Four functions for ranking the relevance of the portion of observation, and two types of communication strength within an organization are studied. In the experiment, information relevant to identify an invisible fixer in an online decision-making environment is successfully retrieved.