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Chal­len­ges of edu­ca­ti­on and in­no­va­ti­on. Pro­cee­dings of the Fourth Green Week Sci­en­ti­fic Con­fe­rence. AgEcon
Kashtanova, Elena G.; Leeds, Elke M.; Rivera, William M.; Mandler, Andreas; Imami, Drini; Leonetti, Luciano; Stefanllari, Andi; Zhllima, Edvin; Dajnoki, Krisztina; Peto, Karoly; Grasselli, Norbert; Drejerska, Nina; Ziolkowska, Jadwiga; Simon, Leo K.; Appel, Franziska; Ostermeyer, Arlette; Milic, Branislav B.; Leshem, Asaf; Aenis, Thomas; Grotz, Patrick Artur; Tang, Lixia; Nagel, Uwe Jens; Hoffmann, Volker; Ahrorov, Farhod; Djanibekov, Nodir; Lamers, John P.A.; Bobojonov, Ihtiyor.
This volume of proceedings, available as both a hard copy and a pdf file, is an edited compilation of selected contributions to the Conference on Modern Agriculture in Central and Eastern Europe (MACE) 2010, held in Berlin, Germany, at the ICC on the 13th and 14th of January 2010. We would like to thank all those persons and organizations who contributed to the realisation of the MACE Conference 2010 as well as to this edited volume. First of all, we thank all presenters, whose commitment made the conference possible. The conference would not have been successful without the active engagement of such a large number of colleagues from IAMO, Humboldt-Universität zu Berlin and the Council for Tropical and Sub-Tropical Agricultural Research (ATSAF). Thanks to...
Tipo: Conference Paper or Presentation Palavras-chave: Agribusiness; Community/Rural/Urban Development; Industrial Organization; Institutional and Behavioral Economics; International Development; Labor and Human Capital; Political Economy; Public Economics.
Ano: 2010 URL: http://purl.umn.edu/96199
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How appropriate are myopic optimization models to predict decision behaviour: A comparison between agent-based models and business management games AgEcon
Appel, Franziska; Musshoff, Oliver.
Agent-based models (ABM) are used in many cases of policy assessment in agriculture. But the behavioural assumptions of these models consider farmers as myopic optimizing profit maximizers. In this contribution we compare the behaviour of myopic computer agents with the behaviour of students playing a multi period business management game. We aim to answer the question, how far are agent-based models valid to map “real” human behaviour, so that ABM can be used well for policy impact assessment.
Tipo: Conference Paper or Presentation Palavras-chave: Agent-based models; Business management games; Policy impact analysis; Research Methods/ Statistical Methods; C63; C93; D22; Q18.
Ano: 2011 URL: http://purl.umn.edu/115994
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