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  <channel>
    <title>Notebooks   </title>
    <link>http://bactra.org/notebooks</link>
    <description>Cosma's Notebooks</description>
    <language>en</language>

  <item>
    <title>Agent-Based Modeling</title>
    <link>http://bactra.org/notebooks/2009/08/31#agent-based-modeling</link>
    <description>
&lt;P&gt;Fundamentally, I'm not sure that agent-based modeling amounts to anything
other than object-oriented programming for disaggregated simulations --- which
is a very useful thing, of course.  (I've expanded on this point in my review
chapter on &lt;a href=&quot;http://arxiv.org/abs/nlin.AO/0307015&quot;&gt;methods and
techniques&lt;/a&gt; of complex systems theory.)  I don't do much in this line, but
it's important enough in the general area I work in that I feel like I ought to
keep track of developments.  This notebook is for methodology, not for
particular substantive studies which happen to use agent-based models, unless
they're exemplary in some way.

&lt;P&gt;Has any work at all been done on statistical inference for agent-based
models?

&lt;P&gt;&lt;em&gt;Update, 18 March 2007&lt;/em&gt;: A propos of the &quot;agent-based == object-oriented&quot; question, Peter McBurney writes:
&lt;blockquote&gt;While object-oriented programming techniques can be used to design
and build sofware agent systems, the technologies are fundamentally
different. Software objects are encapsulated (and usually named) pieces of
software code.  Software agents are software objects with, additionally, some
degree of control over their own state and their own execution.  Thus, software
objects are fixed, always execute when invoked, always execute as predicted,
and have static relationships with one another.  Software agents are dynamic,
are requested (not invoked), may not necessarily execute when requested, may
not execute as predicted, and may not have fixed relationships with one
another.&lt;/blockquote&gt;

&lt;P&gt;See also:
	&lt;a href=&quot;linguistic-evolution-models.html&quot;&gt;Computational Models
of Linguistic Evolution&lt;/a&gt;;
	&lt;a href=&quot;ecology.html&quot;&gt;Ecology&lt;/a&gt;;
	&lt;a href=&quot;economics.html&quot;&gt;Economics&lt;/a&gt;;
	&lt;a href=&quot;micro-macro.html&quot;&gt;Macroscopic Consequences of Microscopic
Interactions&lt;/a&gt;;
	&lt;a href=&quot;multi-agent-systems.html&quot;&gt;Multi-Agent Systems&lt;/a&gt;;
	&lt;a href=&quot;sociology.html&quot;&gt;Sociology&lt;/a&gt;

&lt;ul&gt;Recommended (see also the &quot;Methods and Techniques&quot; chapter, linked to
above):
	&lt;li&gt;Robert Axelrod, &lt;cite&gt;The Evolution of Cooperation&lt;/cite&gt; [A
major inspiration, especially for people working in the social sciences]
	&lt;li&gt;Steven N. Durlauf and H. Peyton Young (eds.), &lt;cite&gt;Social
Dynamics&lt;/cite&gt; [&lt;a href=&quot;../weblog/algae-2009-02.html#durlauf-young&quot;&gt;Mini-review&lt;/a&gt;]
	&lt;li&gt;Joshua M. Epstein, &quot;Agent-based Computational Models and Generative
Social Science&quot;, &lt;cite&gt;Complexity&lt;/cite&gt; &lt;strong&gt;4:5&lt;/strong&gt; (1999): 41--60 [I
understand from Prof. Epstein that this paper will be reprinted in a
forthcoming book of his on agent-based models, which I'm looking forward to.]
	&lt;li&gt;Joshua M. Epstein and Robert Axtell, &lt;cite&gt;Growing Artificial
Societies: Social Science from the Bottom Up&lt;/cite&gt;
	&lt;li&gt;Randy Gimblett (ed.), &lt;cite&gt;Integrating Geographic Information
Systems and Agent-Based Modeling Techniques for Understanding Social and
Ecological Processes&lt;/cite&gt; [Data!  Data!  Data!]
	&lt;li&gt;Christian Gouri&amp;eacute;roux and Alain Monfort,
&lt;cite&gt;Simulation-Based Econometric Methods&lt;/cite&gt; [Doesn't mention agent-based
models at all, but the principles it describes for doing statistical
inference on complicated simulation models would certainly apply.  &lt;a href=&quot;../reviews/simulation-based-econometric-methods/&quot;&gt;Review: By Indirection Find Direction Out&lt;/a&gt;.]
	&lt;li&gt;Peter Hedstrom, &lt;cite&gt;Dissecting the Social: On the Principles of
Analytical Sociology&lt;/cite&gt; [See especially chapter 6, written, with Yvonne
Aberg.  &lt;a href=&quot;http://cambridge.org/0521796679&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Christopher Langton (ed.), &lt;cite&gt;Artificial Life&lt;/cite&gt; [Another
source of inspiration, along with subsequent volumes in the series; many of the
papers here and later are not however particularly relevant to this theme]
	&lt;li&gt;Aki Lehtinen and Jaakko Kuorikoski, &quot;Computing the Perfect Model:
Why Do Economists Shun
Simulation&quot;, &lt;a
href=&quot;http://www.journals.uchicago.edu/doi/abs/10.1086/522359&quot;&gt;&lt;cite&gt;Philosophy
of Science&lt;/cite&gt; &lt;strong&gt;74&lt;/strong&gt; (2007): 304--329&lt;/a&gt; [This sounds right,
but more like a reason for economists to change their ideals than anything
else.]
	&lt;li&gt;Michael W. Macy and Robert Willer, &quot;From Factors to Actors:
Computational Sociology and Agent-Based Modeling,&quot; &lt;a
href=&quot;http://dx.doi.org/10.1146/annurev.soc.28.110601.141117&quot;&gt;&lt;cite&gt;Annual
Review of Sociology&lt;/cite&gt; 2002&lt;/a&gt;
	&lt;li&gt;John H. Miller, &quot;Active Nonlinear Tests (ANTs) of Complex
Simulation Models&quot;, &lt;cite&gt;Management Science&lt;/cite&gt; &lt;strong&gt;44&lt;/strong&gt; (1998):
820--830 [&lt;a
href=&quot;http://links.jstor.org/sici?sici=0025-1909%28199806%2944%3A6%3C20%3AANT%28OC%3E2.0.CO%3B2-7&quot;&gt;JSTOR
link&lt;/a&gt;; thanks to Will Tracy for letting me know about this paper]
	&lt;li&gt;John H. Miller and Scott E. Page, &lt;cite&gt;Complex Adaptive Systems:
An Introduction to Computational Models of Social Life&lt;/cite&gt; [Disclaimer: John
is a friend and Scott is a former boss.  As a trivial show of independence, let
me just say that I &lt;em&gt;hate&lt;/em&gt; the phrase &quot;complex adaptive systems&quot;.]
	&lt;li&gt;Mitchel Resnick, &lt;cite&gt;Turtles, Termites and Traffic Jams:
Explorations in Massively Parallel Microworlds&lt;/cite&gt;
[&lt;a href=&quot;../reviews/turtles-termites-traffic-jams/&quot;&gt;Review: Turtles Up the
*&lt;/a&gt;]
	&lt;li&gt;Francisco J. Varela and Paul Bourgine (eds.), &lt;cite&gt;Toward a
Practice of Autonomous Systems: Proceedings of the First European Conference on
Artificial Life&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read:
	&lt;li&gt;Masanao Aoki
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;New Approaches to Macroeconomic Modeling:
Evolutionary Stochastic Dynamics, Multiple Equilibria, and Externalities as
Field Effect&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/0521637694&quot;&gt;Blurb&lt;/a&gt;]
		&lt;li&gt;&lt;cite&gt;Modeling Aggregate Behavior and Fluctuations in
Economics: Stochastic Views of Interacting Agents&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/0521606195&quot;&gt;Blurb&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Joshua M. Epstein, &lt;cite&gt;Generative Social Science: Studies in Agent-Based Computational Modeling&lt;/cite&gt;
	&lt;li&gt;Radek Erban, Ioannis G. Kevrekidis and Hans G. Othmer, &quot;An
equation-free computational approach for extracting population-level behavior
from individual-based models of biological dispersal&quot;, &lt;a
href=&quot;http://arxiv.org/abs/physics/0505179&quot;&gt;physics/0505179&lt;/a&gt;
	&lt;li&gt;Robert L. Goldstone and Marco A. Janssen, &quot;Computational models of
collective
behavior&quot;, &lt;a href=&quot;http://dx.doi.org/10.1016/j.tics.2005.07.009&quot;&gt;&lt;cite&gt;Trends
in Cognitive Sciences&lt;/cite&gt; &lt;strong&gt;9&lt;/strong&gt; (2005): 424--430&lt;/a&gt; [Brief
review on agent-based models]
	&lt;li&gt;Volker Grimm and Steven F. Railsback, &lt;cite&gt;Individual-based
Modeling and Ecology&lt;/cite&gt;
[&lt;a href=&quot;http://pup.princeton.edu/titles/8108.html&quot;&gt;Blurb, chapter 1&lt;/a&gt;]
	&lt;li&gt;Volker Grimm, Eloy Revilla, Uta Berger, Florian Jeltsch, Wolf
M. Mooij, Steven F. Railsback, Hans-Hermann Thulke, Jacob Weiner, Thorsten
Wiegand, and Donald L. DeAngelis, &quot;Pattern-Oriented Modeling of Agent-Based
Complex Systems: Lessons from Ecology&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1116681&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt;
&lt;strong&gt;310&lt;/strong&gt; (2005): 987--991&lt;/a&gt;
	&lt;li&gt;Till Gruene-Yanoff, &quot;Agent-Based Simulation, Generative Science,
And Its Explanatory Claims&quot;, &lt;a
href=&quot;http://philsci-archive.pitt.edu/archive/00002784&quot;&gt;phil-sci/2784&lt;/a&gt;
	&lt;li&gt;Roberto Leombruni and Matteo Richiardi, &quot;Why are economists
sceptical about agent-based simulations?&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1016/j.physa.2005.02.072&quot;&gt;&lt;cite&gt;Physica A&lt;/cite&gt;
&lt;strong&gt;355&lt;/strong&gt; (2005): 103--109&lt;/a&gt; [&quot;We look at the following
problematic areas: (i) interpretation of the simulation dynamics and
generalization of the results, and (ii) estimation of the simulation model. We
show that there exist solutions for both these issues.&quot;]
	&lt;li&gt;&lt;a href=&quot;http://www.dcs.kcl.ac.uk/staff/mml/&quot;&gt;Michael
Luck&lt;/a&gt;, &lt;a href=&quot;http://www.csc.liv.ac.uk/%7Epeter/&quot;&gt;Peter
McBurney&lt;/a&gt;, &lt;a href=&quot;http://www.cs.biu.ac.il/%7Eshechory/&quot;&gt;Onn
Shehory&lt;/a&gt;, &lt;a href=&quot;http://www.lsi.upc.es/%7Esteve/index.php&quot;&gt;Steve
Willmott&lt;/a&gt;, &lt;cite&gt;Agent Technology: Computing as Interaction (A Road-Map for
Agent Based Computing)&lt;/cite&gt; [Available as
a &lt;a href=&quot;http://www.agentlink.org/roadmap/&quot;&gt;PDF&lt;/a&gt;
from &lt;a href=&quot;http://www.agentlink.org/&quot;&gt;AgentLink&lt;/a&gt;.  Thanks to Prof.
McBurney for letting me know about this!]
	&lt;li&gt;Michael J. North and Charles M. Macal, &lt;cite&gt;Managing Business
Complexity: Discovering Strategic Solutions with Agent-Based Modeling and
Simulation&lt;/cite&gt;
	&lt;li&gt;Steven F. Railsback, Steven L. Lytinen and Stephen K. Jackson,
&quot;Agent-based Simulation Platforms: Review and Development Recommendations&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1177/0037549706073695&quot;&gt;&lt;cite&gt;Simulation&lt;/cite&gt;
&lt;strong&gt;82&lt;/strong&gt; (2006): 609--623&lt;/a&gt;
	&lt;li&gt;Daniel Remenik, &quot;Limit Theorems for Individual-Based Models in
Economics and
Finance&quot;, &lt;a href=&quot;http://arxiv.org/abs/0810.2813&quot;&gt;arxiv:0810.2813&lt;/a&gt;
	&lt;li&gt;Leon Sterling and Kuldar Taveter, &lt;cite&gt;The Art of Agent-Oriented
Modeling&lt;/cite&gt; [Software engineering; &lt;a href=&quot;http://mitpress.mit.edu/978-0-262-01311-6&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Leigh Tesfatsion and Kenneth L. Judd (eds.), &lt;cite&gt;Agent-Based
Computational Economics&lt;/cite&gt;, vol. 2 of the &lt;cite&gt;Handbook of Computational Economics&lt;/cite&gt;
	&lt;li&gt;M. Utku Unver, &quot;Backward unraveling over time: The evolution of
strategic behaivor in the entry-level British medical labor markets&quot;,
&lt;Cite&gt;Journal of Economic Dynamics and Control&lt;/cite&gt; &lt;strong&gt;25&lt;/strong&gt;
(2001): 1039--1080 [Thanks to Will Tracy for a copy]
	&lt;li&gt;Biao Wu, &quot;Interacting Agent Feedback Finance Model&quot;,
&lt;a href=&quot;http://arxiv.org/abs/math.PR/0703827&quot;&gt;math.PR/0703827&lt;/a&gt;
	&lt;/ul&gt;
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