[FRIAM] The art of agent-based modeling
Jochen Fromm
fromm at vs.uni-kassel.de
Mon Aug 14 16:48:46 EDT 2006
I think ABMs are more than a tool for poking around in
a complicated system, they can be a tool to understand
complex systems (in the social sciences) and to build
them (in computer science). Every social system is
composed of interacting actors or 'agents'.
In ABMs the word 'model' often means to specify 'the rules
of the game', especially in those areas related to old-fashioned
game theory: to specify exactly what kind of agents exist
(the states) and how they interact (the rules). As Bonabeau
says, "at the simplest level, an agent-based model consists
of a system of agents and the relationships between them".
http://www.pnas.org/cgi/content/full/99/suppl_3/7280
The exploration of these models is a kind of new mathematics,
an exploration of a universe we have defined ourselves. Yet
mathematics is a special science. In science you have to
be able to say something that can be shown to be wrong.
Even if you have no data to verify, or no new theory to
explain something, you can say in mathematics it is true
because you proved it, and anyone can verify if it is
true or not by verifying the proof. What is the equivalent to
axioms, theorems, lemmas and deductive proofs in the NKS of
ABMs ?
[A mathematical theorem has two parts: first a set-up or
set of assumptions (a number of conditions), and second
a conclusion or proposition (a statement which is true under
the given set-up). Does it make sense to say that the first
corresponds to the set-up of an agent-based model, the second
to the associated emergent phenomenon ?]
-----Original Message-----
From: mgd at santafe.edu
Sent: Monday, August 14, 2006 5:51 PM
To: The Friday Morning Applied Complexity Coffee Group
Subject: Re: [FRIAM] The art of agent-based modeling
ABMs are useful for poking around a complicated system to see
what matters and what doesn't by using a familiar and direct
way of describing things, and to leave the abstractions for
later. ABMs complement traditional techniques of analysis
by extending data.
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