TL;DR: A research framework for Group Cooperative Decision Support System (GCDSS) is proposed and three layers such as task layer, cooperator layer and resource layer are determined to characterize it and it is demonstrated how electronic market could facilitate cooperation in GCDSS.
Abstract: With the prevalence of the Web, most decision-makers are likely to use the Web to support their decision-making. Furthermore, many decision-makers begin to seek cooperators on the Internet to help them to solve complex decision problem. In the paper, we propose a research framework for Group Cooperative Decision Support System (GCDSS) and determine three layers such as task layer, cooperator layer and resource layer to characterize it and demonstrate how electronic market could facilitate cooperation in GCDSS. Then we present the negotiation model of GCDSS and propose a task decomposition method based on which one can decompose a complex problem into a formal task AND/OR tree. We also propose a task assignment method based on extended Contract Net to perform task allocation in GCDSS and describe the group cooperative decision-making process in Knowledge Query and Manipulation Language (KQML). An optimal policy is designed to find the optimal solution of task AND/OR tree and cooperative problem solving process is illustrated with an example for education development plan in China. Finally, we conclude with a brief overview of research contribution, along with some proposals for further research.
TL;DR: The proposed coordination patterns enable us to define coordination between mobile agents or between mobile and stationary agents without explicitly knowing their migrations between locations.
Abstract: This paper proposes coordination patterns that support matchmaking, communication and interaction among mobile agents in addition to stationary ones. Mobile agent technology is a powerful implementation technique of distributed systems, but we need to manage migrations of agents, including their current and destination locations. The proposed patterns enable us to define coordination between mobile agents or between mobile and stationary agents without explicitly knowing their migrations between locations. They are mostly based on the Knowledge Query and Manipulation Language, one of the most extended Agent Communication Languages, but also new patterns are proposed. Additionally, a case of study about tourism is presented.