NDLI: Coordinating activity in knowledge-intensive dynamic systems

Content Provider	IEEE Xplore Digital Library
Author	Smith, S.F.
Copyright Year	2003
Description	Author affiliation: Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (Smith, S.F.)
Abstract	We consider the problem of coordinating activity in knowledge-intensive dynamic systems (KIDS) - large-scale, multiagent systems in which agents with significant individual capabilities work together to accomplish complex, knowledge-intensive tasks. Given the time pressure and resource limitations under which a KIDS typically operates, the establishment of plans and schedules can significantly improve organizational performance. However, there are several complicating factors: (1) there is diversity and novelty in the structure of processes that must be executed over time, requiring tight coupling of action selection with resource allocation, (2) processes are unpredictable in their outcomes and require continual dynamic adjustment and revision, (3) the collective capabilities of the agents of a KIDS are its primary asset and, to minimize future resource limitations, task allocation should consider the side effects of acquired expertise, and (4) KIDS are large-scale enterprises, requiring an ability to effectively distribute decision-making. Our previous research has developed constraint-based search techniques for continuous, dynamic scheduling that have been successfully applied to complex, large-scale transportation and manufacturing domains. We outline current work aimed at extending these models to address the above issues and provide an effective basis for managing KIDS.
Sponsorship	IEEE Boston Sect. IEEE Robotics & Automation Soc. IEEE Neural Network Soc. IEEE Syst. Man & Cybernetics Soc. INNS U.S. Air Force U.S. Army U.S. Navy DARPA
Starting Page	105
Ending Page	108
File Size	348790
Page Count	4
File Format	PDF
ISBN	0780379586
DOI	10.1109/KIMAS.2003.1245030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Job shop scheduling Multiagent systems Processor scheduling Robot kinematics Dynamic scheduling Large-scale systems Manufacturing Asset management Resource management
Content Type	Text
Resource Type	Article

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