Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
A Value-Driven System for Autonomous Information Gathering
Journal of Intelligent Information Systems
Models of attention in computing and communication: from principles to applications
Communications of the ACM
A prototype infrastructure for distributed robot-agent-person teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Who's asking for help?: a Bayesian approach to intelligent assistance
Proceedings of the 11th international conference on Intelligent user interfaces
Sharing experiences to learn user characteristics in dynamic environments with sparse data
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An application view of COORDINATORS coordination managers for first responders
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Sharing experiences to learn user characteristics in dynamic environments with sparse data
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Cognitive security for personal devices
Proceedings of the 1st ACM workshop on Workshop on AISec
Incorporating helpful behavior into collaborative planning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Optimal multi-agent scheduling with constraint programming
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Measuring the expected gain of communicating constraint information
Multiagent and Grid Systems - Planning in multiagent systems
Determining the value of information for collaborative multi-agent planning
Autonomous Agents and Multi-Agent Systems
| Hi-index | 0.00 |
This paper addresses the problem of identifying the value of information held by a teammate on a distributed, multi-agent team. It focuses on a distributed scheduling task in which computer agents support people who are carrying out complex tasks in a dynamic environment. The paper presents a decision-theoretic algorithm for determining the value of information that is potentially relevant to schedule revisions, but is directly available only to the person and not the computer agent. The design of a "coordination autonomy" (CA) module within a coordination-manager system provided the empirical setting for this work. By design, the CA module depends on an external scheduler module to determine the specific effect of additional information on overall system performance. The paper describes two methods for reducing the number of queries the CA issues to the scheduler, enabling it to satisfy computational resource constraints placed on it. Experimental results indicate the algorithm improves system performance and establish the exceptional efficiency---measured in terms of the number of queries required for estimating the value of information---that can be achieved by the query-reducing methods.