Knowledge Representation and Planning under Uncertainty

by Masoumeh Izadi

Overview

Representing knowledge that facilitate learning, planning and deci­sion making in complex, stochastic and uncertain environments is a critical issue for many application domains. The monograph consists of a wealth of new theoretical and advanced fundamental techniques for approximate decision making under uncertainty and for know­ledge representation in partially observable systems. The framework enables decision making agents to reason under uncertain conditions and learn without direct supervision, from interaction with their environment.

Product Details

ISBN-13:	9783639004090
Publisher:	VDM Verlag Dr. Mueller e.K.
Publication date:	05/22/2008
Pages:	176
Product dimensions:	6.00(w) x 9.00(h) x 0.38(d)