Artificial Intelligence Techniques for Rational Decision Making

✍ Scribed by Tshilidzi Marwala (auth.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 178
• Series: Advanced Information and Knowledge Processing
• Edition: 1
• Category: Library

✦ Synopsis

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence.

Artificial Intelligence Techniques for Rational Decision Making examines anddefines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making:

• Theory of the marginalization of irrelevant information
• Principal component analysis
• Independent component analysis
• Automatic relevance determination method

In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence.

Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

✦ Table of Contents

Front Matter....Pages i-xv
Introduction to Rational Decision Making....Pages 1-17
Causal Function for Rational Decision Making: Application to Militarized Interstate Dispute....Pages 19-37
Correlation Function for Rational Decision Making: Application to Epileptic Activity....Pages 39-54
Missing Data Approaches for Rational Decision Making: Application to Antenatal Data....Pages 55-71
Rational Counterfactuals and Decision Making: Application to Interstate Conflict....Pages 73-89
Flexibly-Bounded Rationality in Interstate Conflict....Pages 91-109
Filtering Irrelevant Information for Rational Decision Making....Pages 111-130
Group Decision Making....Pages 131-150
Conclusion....Pages 151-156
Back Matter....Pages 157-168

✦ Subjects

Artificial Intelligence (incl. Robotics); Computational Intelligence; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Economics/Management Science, general; Computer Imaging, Vision, Pattern Recognitio