Paper Info
Title
The use of meta-level control for coordination in a distributed problem solving network
Abstract
Distributed problem solving networks provide an interesting application area for meta-level control through the use of organizational structuring. We describe a decentralized approach to network coordination that relies on each node making sophisticated local decisions that balance its own perceptions of appropriate problem solving activity with activities deemed important by other nodes. Each node is guided by a high-level strategic plan for cooperation among the nodes in the network. The high-level strategic plan, which is a form of meta-level control, is represented as a network organizational structure that specifies in a general way the information and control relationships among the nodes. An implementation of these ideas is briefly described along with the results of preliminary experiments with various network problem solving strategies specified via organizational structuring. In addition to its application to Distributed Artificial Intelligence, this research has implications for organizing and controlling complex knowledge-based systems that involve semi-autonomous problem solving agents.
Year
Venue
Keywords
1983
IJCAI
semi-autonomous problem,high-level strategic plan,appropriate problem,interesting application area,meta-level control,various network problem,network organizational structure,control relationship,network coordination,organizational structure,information theory,decentralization,systems approach,artificial intelligence,nodes,strategy,knowledge based system,strategic planning
Field
DocType
Citations 
Information theory,Organizational network analysis,Decentralization,Organizational structure,Computer science,Knowledge management,Artificial intelligence,Structuring,Strategic planning,Perception,Machine learning
Conference
67
PageRank 
References 
Authors
25.73
6
2
Name
Order
Citations
PageRank
Daniel D. Corkill1722467.03
Victor R. Lesser256181928.77