Interactive Integration of Information Agents on the Web

Abstract

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.