The transition from stagnation to growth: An adaptive learning approach

DOI10.1023/A:1009733218546zbMath0926.91034OpenAlexW2119705040MaRDI QIDQ1291937

Jasmina Arifovic, James Bullard, John Duffy

Publication date: 23 September 1999

Published in: Journal of Economic Growth (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1009733218546

zbMATH Keywords

growthlearningdevelopmenthuman capitalgenetic algorithmtransition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Economic growth models (91B62)

Related Items (4)

The computational complexity analysis of the two-processor flowshop problems with position dependent job processing times ⋮ Statistical properties of genetic learning in a model of exchange rate ⋮ Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market ⋮ Evolutionary dynamics of currency substitution

Uses Software

• Genocop

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