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Anotace knihy

This text derives techniques which allow reliable plans to be automatically selected by intelligent machines. It concentrates on the uncertainty analysis of candidate plans so that a highly reliable candidate may be identified and used. For robotic components, such as a particular vision algorithm for pose estimation or a joint controller, methods are explained for directly calculating the reliability. However, these methods became excessively complex when several components are used together to complete a plan. Consequently, entropy minimization techniques are used to estimate which complex tasks will perform reliably. The book first develops tools for directly calculating the reliability of sub-systems, and methods of using entropy minimization to greatly facilitate the analysis are explained. Since these sub-systems are used together to accomplish complex tasks, the book then explains how complex tasks can be efficiently evaluated.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Plný název: Reliable Plan Selection By Intelligent Machines
• Autor: J.E. McInroy, etc., J.C. Musto, G.N. Saridis
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 164
• EAN: 9789810223366
• ISBN: 9810223366
• ID: 05065191
• Nakladatelství: World Scientific Publishing Co Pte Ltd
• Hmotnost: 230 g
• Datum vydání: 28. November 1995

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