Yuu Nakajima

AAMAS Conference 2008 Conference Paper

Evacuation Guide System based on Massively Multiagent System

• Yuu Nakajima
• Shohei Yamane
• Hiromitsu HATTORI
• Toru Ishida

Using ubiquitous devices such as multifunctional cellular phones and PDAs, we can build a large-scale navigation system for evacuation in the metropolis. Although current navigation systems simply broadcast the same instructions over a large area, the required function is to provide individualized instructions to each user. Our approach is to build a navigation system based on multiagent system which assigns one guide agent to each user. In the system, a guide agent can provide personalized navigation instructions depending on its owner’s surrounding circumstances. We implemented Mega-Navigation system using massively multiagent platform, called Caribbean/Q. Our Mega-Navigation system, which is currently able to work for evacuation in the city of Kyoto, can catch evacuees’ position and offer instructions through GPS-capable cellular phone.

IJCAI Conference 2007 Conference Paper

• Toru Ishida
• Yuu Nakajima
• Yohei Murakami
• Hideyuki Nakanishi

To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in a shared virtual space and jointly perform simulations, and the extension of the participatory simulation into the 2) augmented experiment, where an experiment is performed in real space by human subjects enhanced by a large scale multiagent simulation. The augmented experiment, proposed in this paper, consist of 1) various sensors to collect the real world activities of human subjects and project them into the virtual space, 2) multiagent simulations to simulate human activities in the virtual space, and 3) communication channels to inform simulation status to human subjects in the real space. To create agent and interaction models incrementally from the participatory design process, we propose the participatory design loop that uses deductive machine learning technologies. Indoor and outdoor augmented experiments have been actually conducted in the city of Kyoto. Both experiments were intended to test new disaster evacuation systems based on mobile phones.