Cost-Benefit Analysis in Information Systems Development and Operation
ACM Computing Surveys (CSUR)
A methodology for cost-risk analysis in the statistical validation of simulation models
Communications of the ACM - Special issue on simulation modeling and statistical computing
Computer Communications Network Design and Analysis
Computer Communications Network Design and Analysis
A Quantization Approximation for Modeling Computer Network Nodal Queueing Delay
IEEE Transactions on Computers
A Framework for the Quantitative Evaluation of Distributed Computer Systems
IEEE Transactions on Computers
Analytic and simulation methods in computer network design
AFIPS '70 (Spring) Proceedings of the May 5-7, 1970, spring joint computer conference
On the mean accuracy of statistical pattern recognizers
IEEE Transactions on Information Theory
Number of pattern classifier design samples per class (Corresp.)
IEEE Transactions on Information Theory
Techniques: Computer networking capacity in robotic neural systems
Computer Communications
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At the present time, robotic systems are composed mainly of mechanical functions connected for the purpose of achieving a specific form of automation. An overall plan for the robotic system computer architecture is described to investigate optimal, efficient and cost effective mimicking of human nervous system functions in the robotic system. The following component analogies are drawn between the computer network and the human nervous system: computer node to soma (cell body), input communication channels (links) to dendrites, output communication channels to axons and communications processor ports to buttons. The robotic nervous system therefore is structured as a larger internetwork (similar to the DARPA internetwork) of gateway nodes (controlling neuron cell bodies) which connect neuron intranetworks together. As in the human body, the robotic nervous system is the controlling system for visual and sensory functions.