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CIPEC Biocomplexity Learning Modules

Agent-Decision Making
Incomplete Factorial Design


Because of the innovative empirical focus of our agent-based model, it will be very important to assess the empirical validity of our agent specification.  We plan a variety of strategies to both parameterize the agent decision model and test the validity of our agent decision-making specifications.

  • We have begun an extensive review of the academic literature from multiple disciplines on the determinants of landowner decision making.

  • We are able to draw on results from a survey of 250 Monroe county landowners completed by the CIPEC Indiana project, and we plan additional interviews with local stakeholders.

  • We plan extensive experimental work to test our model of agent behavior.

  • "Comparative static" and "comparative dynamic" analyses will examine how model outcomes change with changes in parameter values and initial conditions.




408 North Indiana Avenue, Bloomington, IN 47408-3799
Phone: (812) 855-2230
TDD: (812) 855-7654
Fax: (812) 855-2634

Last Updated: May 11, 2005
Comments: cipec@indiana.edu 
Copyright 2005, The Trustees of Indiana University.