Dear all,
Below you find a (first) summary of the ‘role’ / exemplary models I have received until now. I want to thank Peter Johnson, Gert-Jan Hofstede, Simone Gabbriellini, Luis Izquierdo, Emile Chappin, Corinne Coen and Norman Johnson for sharing their ‘role models’ so swiftly.
Does anyone have an model that is exemplary of validation practices? or using empirical data? Look forward to hear your thoughts.
Best wishes, Nanda
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Reason: theoretical application - clarity in explaining how micro-dynamics create the macro phenomenon.
2. Modeling Interactions in Small Groups - Heise 2013 Reason: It is an agent-based model of a well-researched theory on social behaviour, Affect Control Theory, that reproduces turn taking patterns in US juries pretty amazingly. It does this without any reference to the content of what the people say – it thus shows that you can predict speech time based on affect.
Reason: it's like for the Schelling's model: simple, clear and you might say common sense hypotheses that leads to unpredictable and counterintuitive outcomes. when you show that to students, it's like boom!
Reason: the combined use of computer simulation and mathematical analysis (in particular, the mean field approximation). To our knowledge, this is the only model where you can run a (stochastic) agent-based model and its mean-field (deterministic) approximation side by side, for any parameter value.
Reason: one of the first large ABMs, a model suite in which many different experiments can be done regarding energy and climate policy in Europe.
Reason: An exemplar of identifying a decision rule from experimental data using an agent-based model.
Reason: The help managers understand the different roles of innovation versus exploitation - and general concepts in complexity science.
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