Estimating Impact

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November 2014



Sociological theories of crime include: theories of strain blame crime on personal stressors; theories of social learning blame crime on its social rewards, and see crime more as an institution in conflict with other institutions rather than as in- vidual deviance; and theories of control look at crime as natural and rewarding, and explore the formation of institutions that control crime. Theorists of corruption generally agree that corruption is an expression of the Patron-Client relationship in which a person with access to resources trades resources with kin and members of the community in exchange for loyalty. Some approaches to modeling crime and corruption do not involve an explicit simulation: rule based systems; Bayesian networks; game theoretic approaches, often based on rational choice theory; and Neoclassical Econometrics, a rational choice-based approach. Simulation-based approaches take into account greater complexities of interacting parts of social phenomena. These include fuzzy cognitive maps and fuzzy rule sets that may incorporate feedback; and agent-based simulation, which can go a step farther by computing new social structures not previously identified in theory. The latter include cognitive agent models, in which agents learn how to perceive their en- ronment and act upon the perceptions of their individual experiences; and reactive agent simulation, which, while less capable than cognitive-agent simulation, is adequate for testing a policy's effects with existing societal structures. For example, NNL is a cognitive agent model based on the REPAST Simphony toolkit.


I. Peering into the Fog.- Introduction; A. Kott. - How it is done today; D. Eyre. - The Historical Perspective; Vancourt. - Technology of Unconventional Modeling; E. Waltz. -
II. Parts of the Equation. - Political Interactions; M. Abdollohian. - Social Interactions; M. Tswetovat. - Economic Interactions; J. Dechant. - Military and Insurgencies; A. Kott. - Infrastructure Phenomena; Th. Brown. -
III. The Whole of the Parts. - Integrating Heterogeneous Models;
L. Rozman. - Emergent Behavior in Modeling; H. van Parunak. - Integrating Heterogeneous Databases; D. Dyer. - Populating the Models; G. Citrenbaum. - Virtual Collaboratin Technologies; S. Fouse. - Visualization Technologies; W. Page. - IV Walking in the Fog. - Multi-Dimensional Planning;
L. Hawley. - Plan Optimization and Synchronization; J. Ridder. - Adversary and War Games; A.R. Washburn. - Robust Planning in the Face of Uncertainty; S. Morse. - New Approaches to Decision Support; T. Leal. - Efect Identification and Impact Assessment; R. Richards. -
V. Conclusion: Living with the Fog, G. Citrenbaum.



From the reviews: "Anyone involved in modeling or planning will want this excellent introduction. ... The book also includes a variety of case studies and examples. The editors provide several tables so that the reader may locate an example related to a mechanism of intervention, an effect of intervention, or a modeling technique. The references at the end of each chapter, as well as the index, are well done. ... an excellent introduction to the current field of modeling interventions, and will be useful and worthwhile to readers." (Brad Reid, ACM Computing Reviews, June, 2011)
EAN: 9781489987273
ISBN: 1489987274
Untertitel: A Handbook of Computational Methods and Models for Anticipating Economic, Social, Political and Security Effects in International Interventions. 2010. Auflage. Previously published in hardcover. Sprache: Englisch.
Verlag: Springer
Erscheinungsdatum: November 2014
Seitenanzahl: 380 Seiten
Format: kartoniert
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