Further Studies on Distributed Adaptation in Neuromime Networks

Item

Title
Further Studies on Distributed Adaptation in Neuromime Networks
Date
1967
Index Abstract
Not Available
Photo Quality
Complete
Report Number
AMRL TR 67-121
Creator
Griffith, V. V.
Wuerthele, W. E.
Bolen, G. H.
Corporate Author
Goodyear Aerospace Corporation
Laboratory
Aerospace Medical Research Laboratories
Extent
144
Identifier
AD0660848
AD0660848
Access Rights
CFSTI
Distribution Classification
1
Contract
AF 33(615)-1891
DoD Project
7232
DoD Task
723203
DTIC Record Exists
No
Distribution Change Authority Correspondence
None
Distribution Conflict
No
Abstract
This report describes investigations of networks with adaptive ability distributed through them. It is thought that large-scale adaptive systems can be constructed of adaptive building blocks. These adaptive systems would be flexible in function, reliable and would resist severe damage characteristics of living creatures. Neuron models were tested by interconnecting them into various networks to perform simple control tasks. The test results were evaluated and the evaluation used to improve the theory and the neuron model. The distributed adaption concept was analyzed from an abstract algebraic approach, using optimal control theory. The combined approach, when studied in depth, contributed to the understanding of the problem. Although the conclusions of this report are at best tentative, one conclusion seems reasonably valid: any required adaptive controller can be built using iterative elements provided only that all terminal segments of optimal trajectories of the process are themselves optimal trajectories, and that the process is controllable and observable.
Report Availability
Full text available
Date Issued
1967-08
Provenance
RAF Centre of Aviation Medicine
Type
report
Subject
Adaptive Systems
Bionics
Control Systems
Optimization
Nerve Cells
Linear Systems
Behavior
Learning
Mathematical Models
Rats
Statistical Processes
Predictions
Reliability
Logic Circuits
Format
1 online resource