000			02816nam a2200325Ka 4500
008			101115s2004 enk o 100 0 eng d
020			_a9781849503037
020			_a1849503039
040			_aUtOrBLW _cUtOrBLW
050		4	_aHB139 _b.A67 2004
082	0	4	_a330.01'5195 _bAPP
245	0	0	_aApplications of artificial intelligence in finance and economics
260			_aBingley, U.K. : _bEmerald, _c2004.
300			_axiii, 275 p.:
440			_aAdvances in econometrics; v.19
504			_aIncludes bibliographical references
520			_aArtificial 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.
590			_alje 27/07/16
591			_aLoan
650		7	_aEconometrics
650		7	_aArtificial intelligence.
650		0	_aEconomics
650		0	_aFinance
700	1		_aBinner, Jane M.,
700	1		_aKendall, Graham,
700	1		_aChen, Shu-Heng,
942			_2ddc _cBOOK
949			_a330.01'5195 APP
998			_bi
999			_c4125 _d4125