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Architectures for intelligent machinesThe theory of intelligent machines has been recently reformulated to incorporate new architectures that are using neural and Petri nets. The analytic functions of an intelligent machine are implemented by intelligent controls, using entropy as a measure. The resulting hierarchical control structure is based on the principle of increasing precision with decreasing intelligence. Each of the three levels of the intelligent control is using different architectures, in order to satisfy the requirements of the principle: the organization level is moduled after a Boltzmann machine for abstract reasoning, task planning and decision making; the coordination level is composed of a number of Petri net transducers supervised, for command exchange, by a dispatcher, which also serves as an interface to the organization level; the execution level, include the sensory, planning for navigation and control hardware which interacts one-to-one with the appropriate coordinators, while a VME bus provides a channel for database exchange among the several devices. This system is currently implemented on a robotic transporter, designed for space construction at the CIRSSE laboratories at the Rensselaer Polytechnic Institute. The progress of its development is reported.
Document ID
19930007432
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Saridis, George N. (Rensselaer Polytechnic Inst. Troy, NY, United States)
Date Acquired
September 6, 2013
Publication Date
July 1, 1991
Subject Category
Computer Operations And Hardware
Report/Patent Number
RPI-CIRSSE-96
NASA-CR-191875
NAS 1.26:191875
Accession Number
93N16621
Funding Number(s)
CONTRACT_GRANT: NAGW-1333
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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