Teruhiro Yamada

Interactive Integration of Information Agents on the Web

World Wide Web contains a vast amount of different information stored in a huge number of distributed Web sites. Search engines and information agents have been developed to facilitate efficient information retrieval tasks from the Web. By integrating multiple search engines and information agents as an interoperable system, we increase the value of each of them. In conventional collaborative systems, the integration process is designed by system designers and is concealed from the end users. This paper proposes an interactive multiagent-based interface called Multiple Character-agent Interface (MCI) where animated character-agents interact with each other and with the user for assisting in information retrieval. By using the MCI, even a novice user can create a team of information agents and can self-customize the agents through the interactions with them. We here report the architecture of MCI and two prototype systems based on MCI, Venus and Mars, which is a cooperative multiagent system for information retrieval, and Recommendation Battlers, which is a competitive multiagent system for information recommendation.

Multiple character-agents interface: an information integration platform where multiple agents and human user collaborate

We propose the Multiple Character-Agents Interface (MCI) as an information integration platform where multiple animated life-like characters interact with each other and with the user to retrieve and integrate information from the Internet. The MCI makes the process open to the user and allows him/her to collaborate with the character-agents. We implemented the MCI as a multi-agent system in which information agents distributed over the Internet are integrated, then we developed a prototype called Venus and Mars, which is a cooperative cooking recipe search engine consisting of three character-agents that collaborate with the user to locate cooking recipe pages.