Lars-Erik Cederman and Luc Girardin
description
Transcript of Lars-Erik Cederman and Luc Girardin
Lars-Erik Cederman and Luc GirardinCenter for Comparative and International Studies (CIS)
Swiss Federal Institute of Technology Zurich (ETH)http://www.icr.ethz.ch/teaching/compmodels
Advanced Computational Modelingof Social Systems
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Presentations
• 07.06.2005 III• 14.06.2005 III• 21.06.2005 III• 28.06.2005 II
• Nicolas Bürkler (4)• Thomas Fent • Stephan Gammeter
(2)• Jean-Luc Geering (1)• Jeremy Hackney (2)• Lutz Krebs (4)• Benjamin Lutz (1)• Charles Mitchell (3)• Gloria Müller (3)• Carsten Murawski (1)• Jonas Nart (3)• Nils Weidmann (2)
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Computational Models of Social Forms (AJS 2005)
• Putting agent-based modeling in a social-theoretic context:– Sociological process theory offers
theoretical guidance for future modeling– Computational modeling helps process
theorists craft better, more precise theories
• Focus on research problems at the macro-level
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Outline
ComputationalModeling
SociologicalProcess Theory
Epistemology
Ontology
Nomothetictheory
Generativetheory
Nomotheticmodeling
Generativemodeling
Variable-basedtheory
Configurativetheory
Variable-basedmodeling
Agent-basedmodeling
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Sociological process theory
• Simmel: sociations or Vergesellschaftung
• Chicago school: Mead et al• Elias’ “figurations”• Barth’s formal anthropology• Emirbayer’s “relationism”,
Giddens’ “structuration”, Archer’s “morphogenetic” approach, Fararo’s “generative theory”
Georg Simmel
George Herbert Mead
Norbert Elias
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The epistemology of process theory
CompuationalModeling
SociologicalProcess Theory
Epistemology
Ontology
Nomothetictheory
Generativetheory
Nomotheticmodeling
Generativemodeling
Variable-basedtheory
Configurativetheory
Variable-basedmodeling
Agent-basedmodeling
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Toward generative theory
• Covering laws ==> uncovering mechanisms
• Positivism ==> scientific realism• Abductive inference instead of
induction or deduction:– making the puzzling less puzzling– metaphors, analogies, and simple
models
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The ontology of process theory
ComputationalModeling
SociologicalProcess Theory
Epistemology
Ontology
Nomothetictheory
Generativetheory
Nomotheticmodeling
Generativemodeling
Variable-basedtheory
Configurativetheory
Variable-basedmodeling
Agent-basedmodeling
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Toward configurative theory
• A social form is a configuration of social interactions and actors together with the structures in which they are embedded.
• Variables merely measure dimensions of social forms, not the forms themselves.
• Social forms always have an extension in time and (geographic/abstract) space
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The epistemology of computational modeling
ComputationalModeling
SociologicalProcess Theory
Epistemology
Ontology
Nomothetictheory
Generativetheory
Nomotheticmodeling
Generativemodeling
Variable-basedtheory
Configurativetheory
Variable-basedmodeling
Agent-basedmodeling
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Toward generative modeling
• In Micromotives and Macrobehavior, Schelling invites the reader “to try to figure out what intentions, or modes of behavior, of separate individuals could lead to the pattern we observed.”
• Axelrod: “a third way of doing science”• Epstein: “If you didn’t grow it, you
didn’t explain it.”
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Emergence
• Can be exhibited by generative processes
• Emergent properties stem from the irreducibility of complex systems to the properties of their constituent parts
• Usually due to non-linear interactions among system components
• Bottom-up vs. intrinsic emergence
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The ontology of computational modeling
ComputationalModeling
SociologicalProcess Theory
Epistemology
Ontology
Nomothetictheory
Generativetheory
Nomotheticmodeling
Generativemodeling
Variable-basedtheory
Configurativetheory
Variable-basedmodeling
Agent-basedmodeling
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Toward agent-based modeling
• ABM features explicit representations of social forms.
• Whereas variable-based modeling expresses causal relations among variables, ABM represents interactions among the actors directly.
• Object-orientation facilitates the task of representing social forms.
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Modeling Emergence
Four types of endogenous social forms:• Behavioral interaction configurations• Property configurations• Interactive networks• Actor structures
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Emergent interaction patterns
actor actor actor
actor
actor
actor
actor
actor
actor
• Models of “emergent order” producing configurations
• Axelrod (1984, chap. 8): “The structure of cooperation”
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Emergent property configurations
• Models of “emergent structure” constituted as property configruations
• Example: Schelling’s segregation model; Carley 1991; Axelrod 1997
• See Macy & Willer 2002 for further references
actoractor
actoractor
actoractor
actoractor
actoractor
actoractor
actoractor
actoractor
actoractor
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Emergent networks
• Most computational models treat networks as exogenous
• Recent exceptions:– Albert and Barabási’s
scale-free networks– Economics and
evolutionary game theory: e.g. Skyrms and Pemantle
frequency
degree d
d-
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Emergent actors
• Computational models normally assume the actors to be given
• Some exceptions:– Axelrod’s model of new
political actors– Axtell’s firm-size model– Geopolitical models in
the Bremer & Mihalka tradition
• Emergence?
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Conclusions
• ABM follows in the epistemological and ontological footsteps of sociological process theory
• Future challenges of ABM: endogenization of networks and actor structures
• Future challenges of process theory: clearer specification of generative theory that allows for systematic empirical anchoring.
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The Luhmann Simulator
Prof. Dr. Uwe SchimankFern Universität Hagen