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A Model of Policy Formation Through Simulated Annealing: The Impact of Preference Alignment on Productivity and Satisfaction

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Book cover Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9021))

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Abstract

We are interested in how preference correlations can impact policy-maker productivity and their satisfaction with resultant policy. We applied a simulated annealing process as a model of revising draft legislation in peer and committee reviews before submission to a floor vote. Results indicate that having exogenous, common issue priorities is required for productivity but that some structures inhibit productivity, particularly where preference schedules are uncorrelated. Our model also demonstrates lower system efficiency, and lower overall satisfaction, as policy is negotiated through compromise to achieve higher production.

We wish to thank Maksim Tsvetovat who introduced us to applications of simulated annealing to Organizational Theory and inspired us to extend it, adapt it, and to think about organizations and processes where it seems to fit especially well. We also thank an anonymous reviewer for helpful feedback provided on a previous draft of this paper.

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References

  1. Aldrich, J.: Why Parties?. University of Press, Chicago (1995)

    Google Scholar 

  2. Barabási, A.-L., Albert, R.: Emergence of scaling in random networks. Science 509(5439), 509–512 (1999)

    Google Scholar 

  3. Bratton, K., Rouse, S.: Networks in the legislative arena: How group dynamics a ect co-sponsorship. Legislative Studies Quarterly 36(3) (2011)

    Google Scholar 

  4. Cox, G.W., McCubbins, M.: Legislative Leviathan: Party Government in the House. University of California Press (1993)

    Google Scholar 

  5. Cox, G., McCubbins, M.: Setting the Agenda. Cambridge University Press (2005)

    Google Scholar 

  6. Gilligan, T., Krehbiel, K.: Asymmetric information and legislative rules with a heterogeneous committee. American Journal of Political Science 33(2) (1989)

    Google Scholar 

  7. Granovetter, M.: Threshold models of collective behavior. American Journal of Sociology 83(6) 1420–1443 (1978)

    Google Scholar 

  8. Humphries, M.D., Gurney, K.: Network “small-worldness": A quantitative method for determining canonical network equivalence. PLoS One 3(4) (2008)

    Google Scholar 

  9. Kingdon, J.: Congressmen’s Voting Decisions. University of Michigan Press (1989)

    Google Scholar 

  10. Kirkpatrick, S., Gelatt, C., Vecchi, M.P.: Optimization by simulated annealing. Science 220 (1983)

    Google Scholar 

  11. Krehbiel, K.: Information and Legislative Organization. University of Michigan Press (1991)

    Google Scholar 

  12. Krehbiel, K.: Pivotal Politics: A Theory of US Lawmaking. Chicago University Press (1998)

    Google Scholar 

  13. Mayhew, D.: Congress: The Electoral Connection (1974)

    Google Scholar 

  14. McKelvey, B.: Toward a complexity science of entrepreneurship. Journal of Business Venturing 19 (2004)

    Google Scholar 

  15. McPherson, M., Smith-Lovin, L., Cool, J.: Birds of a feather: Homophily in social networks. Annual Review of Sociology 27 (2001)

    Google Scholar 

  16. Metropolis, N., et al.: Equations of state calculations by fast computing machines. Journal of Chemical Physics 21(6) (1953)

    Google Scholar 

  17. Shepsle, K., Weingast, B.: The institutional foundations of committee power. The American Political Science Review 81(1) (1987)

    Google Scholar 

  18. Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)

    Google Scholar 

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Correspondence to Vince Kane .

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© 2015 Springer International Publishing Switzerland

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Atherley, S., Dillon, C., Kane, V. (2015). A Model of Policy Formation Through Simulated Annealing: The Impact of Preference Alignment on Productivity and Satisfaction. In: Agarwal, N., Xu, K., Osgood, N. (eds) Social Computing, Behavioral-Cultural Modeling, and Prediction. SBP 2015. Lecture Notes in Computer Science(), vol 9021. Springer, Cham. https://doi.org/10.1007/978-3-319-16268-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-16268-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16267-6

  • Online ISBN: 978-3-319-16268-3

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