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A coordination theory for intelligent machinesA formal model for the coordination level of intelligent machines is established. The framework of the coordination level investigated consists of one dispatcher and a number of coordinators. The model called coordination structure has been used to describe analytically the information structure and information flow for the coordination activities in the coordination level. Specifically, the coordination structure offers a formalism to (1) describe the task translation of the dispatcher and coordinators; (2) represent the individual process within the dispatcher and coordinators; (3) specify the cooperation and connection among the dispatcher and coordinators; (4) perform the process analysis and evaluation; and (5) provide a control and communication mechanism for the real-time monitor or simulation of the coordination process. A simple procedure for the task scheduling in the coordination structure is presented. The task translation is achieved by a stochastic learning algorithm. The learning process is measured with entropy and its convergence is guaranteed. Finally, a case study of the coordination structure with three coordinators and one dispatcher for a simple intelligent manipulator system illustrates the proposed model and the simulation of the task processes performed on the model verifies the soundness of the theory.
Document ID
19900062842
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Wang, Fei-Yue
(NASA Headquarters Washington, DC United States)
Saridis, George N.
(NASA Headquarters Washington, DC United States)
Date Acquired
August 14, 2013
Publication Date
September 1, 1990
Publication Information
Publication: Automatica
Volume: 26
ISSN: 0005-1098
Subject Category
Cybernetics
Accession Number
90A49897
Distribution Limits
Public
Copyright
Other

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