2004, 2003-2004, English, Article, Working paper edition: Using Neural Networks to Model Bounded Rationality in Interactive Decision-Making Sgroi, Daniel

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Bookmark: http://trove.nla.gov.au/version/838
Physical Description
  • 288143 bytes, application/​pdf
  • Working Paper
Published
  • 2004-06-16T16:05:34Z
  • 2003-09
Language
  • English

Edition details

Title
  • Using Neural Networks to Model Bounded Rationality in Interactive Decision-Making
Author
  • Sgroi, Daniel
Published
  • 2004-06-16T16:05:34Z
  • 2003-09
Physical Description
  • 288143 bytes, application/​pdf
  • Working Paper
Subjects
Notes
  • This paper considers the use of neural networks to model bounded rational behaviour. The underlying theory and use of neural networks is now a component of various forms of scientific enquiry, be it modelling artificial intelligence, developing better pattern recognition or solving complex optimization problems. This paper surveys the recent literature in economics on their use as a plausible model of learning by example, in which the focus is not on improving their ability to perform to the point of zero error, but rather examining the sorts of errors they make and comparing these with observed bounded rational behaviour.
Language
  • English
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