著者
松原 仁 田中 久美子 Frank Ian 田所 諭
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.17, pp.177-180, 2002-11-01
被引用文献数
4 2

We address the problem of information flow in disaster relief scenarios by presenting an architecture for generating natural language dialogue between large numbers of agents. This architecture is the first step towards real-time support systems for relief workers and their controllers. Our work demonstrates how natural generation techniques from the MIKE commentary system for RoboCup soccer can be carried over to that of RoboCup Rescue. Thanks to this background, the initial product of our research is a system that explains a RoboCup Rescue simulation not to the agents in the domain themselves but to a watching audience. This "commentary" is produced by recreating the actual dialogues most likely be occurring in the domain: walkie-talkie-conversations.

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こんな論文どうですか? 大規模災害救助シミュレータを対象としたリアルタイム実況の自動生成(松原 仁ほか),2002 https://t.co/5VvlhP3tc8
こんな論文どうですか? 大規模災害救助シミュレータを対象としたリアルタイム実況の自動生成(松原 仁ほか),2002 http://t.co/YNqv4Zw6JT

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