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DAISY-DAMP: A Distributed AI System for the Dynamic Allocation and Management of PowerOne of the critical parameters that must be addressed when designing a loosely coupled Distributed AI SYstem (DAISY) has to do with the degree to which authority is centralized or decentralized. The decision to implement the Dynamic Allocation and Management of Power (DAMP) system as a network of cooperating agents mandated this study. The DAISY-DAMP problem is described; the component agents of the system are characterized; and the communication protocols system elucidated. The motivations and advantages in designing the system with authority decentralized is discussed. Progress in the area of Speech Act theory is proposed as playing a role in constructing decentralized systems.
Document ID
19880019989
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Steven B Hall (Lockheed Missiles and Space Company (United States) Sunnyvale, United States)
Peter C Ohler (Lockheed Missiles and Space Company (United States) Sunnyvale, United States)
Date Acquired
September 5, 2013
Publication Date
January 1, 1988
Publication Information
Publication: Second Conference on Artificial Intelligence for Space Applications
Publisher: National Aeronautics and Space Administration
Volume: NASA-CP-3007
Subject Category
Cybernetics
Meeting Information
Meeting: Second Conference on Artificial Intelligence for Space Applications
Location: Huntsville, AL
Country: US
Start Date: November 13, 1986
End Date: November 14, 1986
Sponsors: University of Alabama in Huntsville, National Aeronautics and Space Administration
Accession Number
88N29373
Distribution Limits
Public
Copyright
Public Use Permitted.
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