Chapter 9 Basic Decision Theory

Chapter 9 Basic Decision Theory Steven

UNIVERSITY OF WEST BOHEMIA FACULTY OF APPLIED SCIENCES Software Analysis of Bayesian Distributed Dynamic Decision Making

Decision making is an active and purposeful selection of actions among several alternative options. For humans, DM is a natural part of everyday life. The Bayesian theory provides a rigorous and consistent tool to help the decision maker to select the best action to achieve his aim. A significant application area of the decision-making theory is the control theory. Most of the applications of t...

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as...

Parker 5 THEORIES OF ENDOGENOUS GROWTH

A. Topics and Tools ............................................................................. 1 B. The Microeconomics of Innovation and Human Capital Investment ........... 3 Returns to research and development .............................................................................. 4 Human capital vs. knowledge capital ....................................................................

Chapter 2 Languages , Decidability , and Complexity

Control problems for discrete-event systems or hybrid systems typically involve manipulation of languages that describe system behaviors. This chapter introduces basic automata and grammar models for generating and analyzing languages of the Chomsky hierarchy, as well as their associated decision problems, which are necessary for the understanding of other parts of this book. Notions of decidab...