Task-Structure Based Mediation: The Travel-Planning Assistant Example

  • Authors:
  • Qihua Situ;Eleni Stroulia

  • Affiliations:
  • -;-

  • Venue:
  • AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2000

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Abstract

As the number of applications available on the World Wide Web (WEB) increases at a rapid speed, an enormous number of resources become available to the general public. These resources offer information and services in a variety of domains but are often difficult to use due to their idiosyncratic domain and interaction models. In this paper, we discuss a multi-agent architecture for integration of WEB applications within a domain, based on a task-structure approach. The architecture consists of a set of wrapper agents, driving and extracting information from a set of corresponding WEB applications, and a mediator agent, whose task structure drives both its interaction with the users and its communication with the wrappers. We illustrate this architecture with the description of a travel-planning assistant that supports the users in an exploratory, least-commitment search behavior.