Buch, Englisch, Band 11, 391 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
Buch, Englisch, Band 11, 391 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
Reihe: Advances in Computational Economics
ISBN: 978-1-4613-7285-1
Verlag: Springer US
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
One: Simulating in Economics.- Evolutionary Economics and Simulation.- Simulation as a Tool to Model Stochastic Processes in Complex Systems.- Two: Evolutionary Approaches.- Learning by Genetic Algorithms in Economics?.- Can Learning-Agent Simulations Be Used for Computer Assisted Design in Economics?.- On the Emergence of Attitudes towards Risk.- Interdependencies, Nearly-decomposability and Adaptation.- Three: Neural Networks and Local Interaction.- Neural Networks in Economics.- Genetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoners Dilemma.- Local Interaction as a Model of Social Interaction?.- Four: Boundedly Rational and Rational Models.- Memory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness.- A Behavioral Approach to a Strategic Market Game.- Bayesian Learning in Optimal Growth Models under Uncertainty.- Five: Cognitive Learning Models.- Modelling Bounded Rationality in Agent-based Simulations Using the Evolution of Mental Models.- Cognitive Learning in Prisoner’s Dilemma Situations.- A Cognitively Rich Methodology for Modelling Emergent Socioeconomic Phenomena.