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Abstract: . Reasoning by evidence is presented as a way of reasoning with incomplete information. This approach is applied to the process of planning under uncertainty that stems mainly from the general incompleteness of an agent's knowledge about the real world, and from the fact that the world changes not only due to the agent's actions, but for many other reasons, often unknown to the agent. 1 Introduction Contemplating future behavior is an essential part of activity of any intelligent agent,... (Update)
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BibTeX entry: (Update)
@misc{ lozinskii-reasoning,
author = "Eliezer L. Lozinskii",
title = "Reasoning by Evidence for Best-Chance Planning with Incomplete Information",
url = "citeseer.ist.psu.edu/414004.html" }
Citations (may not include all citations):1447 A mathematical theory of communication (context) - Shannon - 1948
760 Probabilistic Reasoning in Intelligent Systems (context) - Pearl - 1988
625 A Mathematical Theory of Evidence (context) - Shafer - 1976
451 Planning for conjunctive goals (context) - Chapman - 1987
251 The complexity of computing the permanent (context) - Valiant - 1979
169 InformationTheory and Statistical Mechanics (context) - Jaynes - 1957
164 A Structure of Plans and Behavior (context) - Sacerdoti - 1977
158 Upper and lower probabilities induced by a multivariate mapp.. (context) - Dempster - 1967
140 Conditional nonlinear planning - Peot, Smith - 1992
138 An approach to planning with incomplete information - Etzioni, Hanks et al. - 1992
129 Computer-Based Medical Consultation: MYCIN (context) - Shortliffe - 1976
121 The nonlinear nature of plans (context) - Sacerdoti - 1975
115 What is planning in the presence of sensing (context) - Levesque - 1996
107 Artificial Intelligence (context) - Nilsson - 1986
88 Abductive planning with event calculus (context) - Eshghi - 1988
[Article contains additional citations not shown here]
Documents on the same site (http://www.cs.huji.ac.il/~lozinski/):
Explaining by Evidence - Lozinskii (Correct)
Research Note - The Good Old (Correct)
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