TY - BOOK ID - 17572295 TI - Applications of artificial intelligence in finance and economics AU - Chen, Shu-Heng AU - Binner, Jane M. AU - Kendall, Graham PY - 2004 SN - 9781849503037 1849503036 0762311509 9786610631445 1280631449 0080460232 9780080460239 9780762311507 PB - Amsterdam Elsevier DB - UniCat KW - Finance KW - Economics KW - Artificial intelligence KW - Economic theory KW - Political economy KW - Social sciences KW - Economic man KW - Funding KW - Funds KW - Currency question KW - Data processing KW - Mathematical models KW - Computer science KW - Mathematical statistics KW - IC-AI KW - E-books KW - AA / International- internationaal KW - 305.971 KW - Speciale gevallen in econometrische modelbouw. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Economics, Mathematical KW - Financial applications KW - Speciale gevallen in econometrische modelbouw KW - Business & Economics KW - Economics. KW - Artificial intelligence. KW - Econometrics KW - Econometrics. KW - Microeconomics. UR - https://www.unicat.be/uniCat?func=search&query=sysid:17572295 AB - Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance. ER -