Empirical Foundations for Agent-Based Modeling: How Do Institutions Affect Agents' Land-Use Decision Processes in Indiana?

Proceedings of the Agent 2002 Conference on Social Agent: Ecology, Exchange, and Evolution

22 Pages Posted: 8 May 2017

See all articles by Laura Carlson

Laura Carlson

Indiana University Bloomington

Marco A. Janssen

Arizona State University (ASU)

Tun Myint

Carleton College - Department of Political Science & Environmental Studies

Elinor Ostrom

Indiana University Bloomington - School of Public & Environmental Affairs (SPEA); Indiana University Bloomington - Department of Political Science

Abigail M. York

University of Missouri at Kansas City - Department of Public Administration/Cookingham Institute

Date Written: October 11-12, 2002

Abstract

The use of agent-based modeling (ABM) has recently been extended to the study of natural resource management and land-use and land-cover change. Many ABM applications have been at a conceptual and abstract level, which helps scholars to recognize how macro patterns can emerge from simple rules followed by agents at a micron level. ABM has greater potential than many other approaches to capture the dynamic relationships between social and ecological systems. This paper contributes to a larger effort to explore how individual decision making by heterogeneous set of land owners, given local biophysical conditions, led to the particular aggregate pattern of land-cover change in Indiana, with an emphasis on forest-cover change. In our preliminary effort, we created a model structure that allowed examination of the institutional impact of government programs on individual land-use decisions. Our model is based on the concept that initial condition endow an agent with a particular set of beliefs and desires that could lead to any number of intentions, actions, and outcomes. Institutions have the potential to intervene in an agent's decision-making process and alter its beliefs and desires by providing information and incentives. The next crucial step in our effort will be to extend this model to study the impact of other political institutions, such as taxation and zoning, as well as utilize the conceptual model to facilitate implementation of institutions in the agent-based models.

Keywords: agent-based model; institution; Indiana; land-use and land-cover change

JEL Classification: B52, C59

Suggested Citation

Carlson, Laura and Janssen, Marco A. and Myint, Tun and Ostrom, Elinor and York, Abigail Mara, Empirical Foundations for Agent-Based Modeling: How Do Institutions Affect Agents' Land-Use Decision Processes in Indiana? (October 11-12, 2002). Proceedings of the Agent 2002 Conference on Social Agent: Ecology, Exchange, and Evolution, Available at SSRN: https://ssrn.com/abstract=2964086

Laura Carlson

Indiana University Bloomington ( email )

Dept of Biology
100 South Indiana Ave.
Bloomington, IN 47405
United States

Marco A. Janssen

Arizona State University (ASU) ( email )

Farmer Building 440G PO Box 872011
Tempe, AZ 85287
United States

Tun Myint (Contact Author)

Carleton College - Department of Political Science & Environmental Studies ( email )

One North College St.
Northfield, MN 55057
United States
507-222-7170 (Phone)
507-222-5615 (Fax)

HOME PAGE: http://people.carleton.edu/~tmyint/

Elinor Ostrom

Indiana University Bloomington - School of Public & Environmental Affairs (SPEA) ( email )

1315 East Tenth Street
Bloomington, IN 47405
United States

Indiana University Bloomington - Department of Political Science

Bloomington, IN
United States

Abigail Mara York

University of Missouri at Kansas City - Department of Public Administration/Cookingham Institute ( email )

Kansas City, MO 64110
United States

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