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  Marwala, Tshilidzi Add to Alert Profile  
 
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  1 - 5 of 5 reviews    
  Artificial intelligence, game theory and mechanism design in politics
Marwala T., Palgrave Macmillan, New York, NY, 2023. 233 pp.  Type: Book (981995102X)

This book serves as guide to the use of artificial intelligence (AI), game theory, and mechanism design in politics. Marwala takes a simple approach to these subjects. He explains AI concepts at a level suitable to readers without technical knowle...
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Dec 29 2023  
  Artificial intelligence and economic theory: Skynet in the market
Marwala T., Hurwitz E., Springer International Publishing, New York, NY, 2017. 204 pp.  Type: Book (978-3-319661-03-2)

Artificial intelligence (AI) is increasingly used in many areas, including language translation, medical diagnosis, and so on. Of interest here are AI applications in stock market activities. Most investors are aware of programmed trad...
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Jul 19 2018  
  Artificial intelligence techniques for rational decision making
Marwala T., Springer Publishing Company, Incorporated, New York, NY, 2014. 168 pp.  Type: Book (978-3-319114-23-1)

Decisions have consequences that may be grouped into “good” and “bad.” When the two groups are measured and compared, the result of the comparison may be called the utility of a decision. A ratio...
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Dec 10 2015  
  Economic modeling using artificial intelligence methods
Marwala T., Springer Publishing Company, Incorporated, London, UK, 2013. 277 pp.  Type: Book (978-1-447150-09-1)

This is a book that combines a lot of nontrivial economic modeling with a lot of nontrivial artificial intelligence (AI) methods. Therefore, it does put some burden on the reader with respect to what kind of background information he o...
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Aug 28 2013  
  Computational intelligence for missing data imputation, estimation, and management: knowledge optimization techniques
Marwala T., Information Science Reference - Imprint of: IGI Publishing, Hershey, PA, 2009. 326 pp.  Type: Book (9781605663364)

Paradoxically, in these days of information glut, there is a concurrent problem of data loss--missing and incomplete data. Statisticians have generated a wealth of knowledge on the methods of handling missing data. While solvi...
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Jan 26 2010  

   
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