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» Computational Techniques for Modelling Learning in Economics
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 3 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
KES
2000
Springer
15 years 1 months ago
On AIE-ASM: a software to simulate artificial stock markets with genetic programming
Agent-based computational economic modeling requires demanding work on computer programming. Usually, the publications as outcomes of running these programs do not provide readers ...
Shu-Heng Chen, Chung-Chih Liao, Chia-Hsuan Yeh
71
Voted
SIGECOM
2006
ACM
138views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
Bid expressiveness and clearing algorithms in multiattribute double auctions
We investigate the space of two-sided multiattribute auctions, focusing on the relationship between constraints on the offers traders can express through bids, and the resulting c...
Yagil Engel, Michael P. Wellman, Kevin M. Lochner
83
Voted
ASC
2004
14 years 9 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith