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Utility and Probability

Posted By: AvaxGenius
Utility and Probability

Utility and Probability by John Eatwell, Murray Milgate, Peter Newman
English | PDF | 1990 | 330 Pages | ISBN : 0333495411 | 31.7 MB

This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on utility and probability.

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability

Posted By: AvaxGenius
Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability by Marcus Hutter
English | PDF | 2005 | 294 Pages | ISBN : 3540221395 | 32.7 MB

This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environments, the latter is suited for passive prediction in unknown environments.

Theoretical Statistics: Topics for a Core Course

Posted By: AvaxGenius
Theoretical Statistics: Topics for a Core Course

Theoretical Statistics: Topics for a Core Course by Robert W. Keener
English | PDF(True) | 2010 | 543 Pages | ISBN : 0387938389 | 5.9 MB

Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential.

Decision Theory and Choices: a Complexity Approach (Repost)

Posted By: AvaxGenius
Decision Theory and Choices: a Complexity Approach (Repost)

Decision Theory and Choices: a Complexity Approach by Marisa Faggini
English | PDF | 2010 | 252 Pages | ISBN : 8847017777 | 3.96 MB

In economics agents are assumed to choose on the basis of rational calculations aimed at the maximization of their pleasure or profit. Formally, agents are said to manifest transitive and consistent preferences in attempting to maximize their utility in the presence of several constraints.

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

Posted By: AvaxGenius
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications by Jonas Mockus
English | PDF | 1997 | 394 Pages | ISBN : 0792343271 | 23.92 MB

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy.