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Can Genetic Algorithms Explain Experimental Anomalies?. (2004). Casari, Marco.
In: Computational Economics.
RePEc:kap:compec:v:24:y:2004:i:3:p:257-275.

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  2. Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model. (2018). Geisendorf, Sylvie.
    In: Computational Economics.
    RePEc:kap:compec:v:52:y:2018:i:3:d:10.1007_s10614-017-9740-2.

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  3. Adaptive learning in an asymmetric auction: genetic algorithm approach. (2014). Chernomaz, Kirill.
    In: Journal of Economic Interaction and Coordination.
    RePEc:spr:jeicoo:v:9:y:2014:i:1:p:27-51.

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  4. Paradox Lost: The Evolution of Strategies in Selten’s Chain Store Game. (2014). Tracy, William .
    In: Computational Economics.
    RePEc:kap:compec:v:43:y:2014:i:1:p:83-103.

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  5. Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective. (2012). Chen, Shu-Heng.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:36:y:2012:i:1:p:1-25.

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  6. Internal selection and market selection in economic Genetic Algorithms. (2011). Geisendorf, Sylvie.
    In: Journal of Evolutionary Economics.
    RePEc:spr:joevec:v:21:y:2011:i:5:p:817-841.

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  7. EMERGENT COMPLEXITY IN AGENT‐BASED COMPUTATIONAL ECONOMICS. (2011). Chen, Shu-Heng ; Wang, Shu G..
    In: Journal of Economic Surveys.
    RePEc:bla:jecsur:v:25:y:2011:i:3:p:527-546.

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  8. Emergent Complexity in Agent-Based Computational Economics. (2010). Wang, Shu G. ; Chan, Shu-Heng .
    In: ASSRU Discussion Papers.
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  9. Individual expectations and aggregate behavior in learning to forecast experiments. (2008). Hommes, Cars ; Lux, Thomas.
    In: Kiel Working Papers.
    RePEc:zbw:ifwkwp:1466.

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References

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