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. Copyright (c) 2002 JSAI (The Japanese Society for Artificial Intelligence.
|ジャーナル||Transactions of the Japanese Society for Artificial Intelligence|
|出版ステータス||Published - 2002|
ASJC Scopus subject areas
- Artificial Intelligence