Introduction to rational decision making

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter studies causality, correlation and artificial intelligence for decision making. Correlation methods are defined and applied to build correlation machines which are used for rational decision making. Furthermore, causality concepts are defined and used to build causal machines which are also used for rational decision making. Artificial intelligence methods considered in this book are support vector machines, rough sets, fuzzy systems, neural networks, particle swarm optimization, the genetic algorithm and simulated annealing.

Original languageEnglish
Title of host publicationAdvanced Information and Knowledge Processing
PublisherSpringer London
Edition9783319114231
DOIs
Publication statusPublished - 2014

Publication series

NameAdvanced Information and Knowledge Processing
Number9783319114231
ISSN (Print)1610-3947
ISSN (Electronic)2197-8441

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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