Abstract for Swarmfest

[M Lang / S Railsback]

Alex: Paul & I would like to submit this abstract for SwarmFest. Thanks.

Steve

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Can Agent-based Modeling Contribute to Scientific Theory??

Presentation and discussion by Paul Johnson and Steve Railsback

Scientists that use agent-based models (ABMs) are often asked how their
simulations can contribute to "theory". ABM simulations are sometimes
viewed as too specific and parameter-dependent to lead to general
theory. We will lead a discussion of such questions as: (1) What is
"theory" in the context of ABM simulation and how does it differ from
classical theory? and (2) How can ABMs be used to develop theory?
Examples from social and ecological sciences will be used to illustrate
the discussion. In ecology, classical theory generally consists of
equations assumed to represent system-level behaviors. In social
sciences, theory often addresses how individuals interact. With ABMs, we
start with the fundamental assumption that system-level behaviors emerge
from the traits of individual agents and their environment. "Theory" in
the ABM context consists of models of agent traits: how agents interact
with each other and their environment to produce emergent system
properties. These models of agent traits may be specific to certain
circumstances and agent types, or they may be quite general and widely
useful. A key advantage of theory in an ABM context is that ABM-based
theory is readily tested: ABMs can be used in a variety of ways to test
the accuracy and generality of models of agent traits. 

-- 
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Lang, Railsback & Assoc.
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