A light-weight agent architecture for collaborative multimedia systems ?
This paper describes the Agent-based Imagery and Geospatial processing Architecture (AIGA). AIGA is a novel approach for developing and supporting large-scale query-driven multimedia information systems. AIGA is designed to support collaboration and reuse by defining a set of light-weight agents and a combined knowledge encoding and agent communication language called I-XML. Scalability and reuse are achieved by employing a two-tier communication structure. Agents do not communicate directly but rather through a shared page space. We show how this approach simplifies system design and facilitates collaboration and information sharing among area experts. AIGA is specifically designed to allow experts to answer open-ended queries such as What is the current situation at the border between two countries?. For this environment the reuse of prior strategies reduces the number of computations necessary to construct new answers. We have implemented AIGA in a Java environment. We believe the resulting system demonstrates the effectiveness of our approach in constructing large-scale query-driven multimedia information systems.
distributed multimedia systems image and geospatial computing distributed agent systems