Visual access to an agent-based simulation model to support political decision making

ACM International Conference Proceeding Series

Volumn 16-19-September-2014, Issue , 2014, Pages

  Ruppert, Tobias ^a   Bernard, Jürgen ^a   Ulmer, Alex ^a   Lücke Tieke, Hendrik ^a   Kohlhammer, Jörn ^b  

^a FRAUNHOFER IGD   (Germany)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Agent based simulation; Information visualization; Input output analysis; Policy modeling; Visual analytics

Indexed keywords

ENVIRONMENTAL IMPACT; INFORMATION SYSTEMS; VISUALIZATION;

AGENT BASED SIMULATION; INFORMATION VISUALIZATION; INPUT OUTPUT ANALYSIS; POLICY MODEL; VISUAL ANALYTICS;

DECISION MAKING;

EID: 84987943639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2637748.2638410     Document Type: Conference Paper

References (20)

1. S. Afzal, R. Maciejewski, and D. S. Ebert. Visual analytics decision support environment for epidemic modeling and response evaluation. In Proc. of VAST, pages 191-200. IEEE, 2011.
2. G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. von Landesberger, P. Bak, and D. Keim. Space-in-Time and time-in-space self-organizing maps for exploring spatiotemporal patterns. In VGTC Conf. on Visualization, pages 913-922. Eurographics, 2010.
3. J. Bernard, T. Ruppert, M. Scherer, J. Kohlhammer, and T. Schreck. Content-based layouts for exploratory metadata search in scientific research data. In JCDL, pages 139-148, New York, NY, USA, 2012. ACM.
4. M. Booshehrian, T. Moller, R. M. Peterman, and T. Munzner. Vismon: Facilitating analysis of trade-offs, uncertainty, and sensitivity in fisheries management decision making. CGF, 2012.
5. S. Bremm, T. von Landesberger, J. Bernard, and T. Schreck. Assisted descriptor selection based on visual comparative data analysis. In VGTC Conf. on Visualization, pages 891-900. Eurographics, 2011.
6. R. J. Crouser and D. Kee. Two visualization tools for analyzing agent-based simulations in political science. IEEE Comp. Graph. and App., pages 67-77, 2012.
7. S. Few. Now You See it: Simple Visualization Techniques for Quantitative Analysis. Analytics Press, 2009.
8. M. Gavanelli, M. Milano, A. Holland, and B. O'Sullivan. What-if analysis through simulationoptimization hybrids. In K. G. Troitzsch, M. Mohring, and U. Lotzmann, editors, ECMS, 2012.
9. G. N. Gilbert. Agent-based models. Quantitative applications in the social sciences. Sage, 2008.
10. D. Guo, M. Gahegan, A. M. MacEachren, and B. Zhou. Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Journal of CaGIS, 32(2):113-132, 2005.
11. M. Howlett, M. Ramesh, and A. Perl. Studying Public Policy: Policy Cycles and Policy Subsystems. Oxford University Press, 1995.
12. P. G. Johnson, T. Balke, and L. Kotthof. Integrating optimisation and agent-based modelling. In European Conference on Modelling and Simulation, 2014 (accepted for publication).
13. D. A. Keim, J. Kohlhammer, G. Ellis, and F. Mansmann. Mastering the Information Age - Solving Problems with Visual Analytics. EG, 2010.
14. J. Kohlhammer, K. Nazemi, T. Ruppert, and D. Burkhardt. Toward visualization in policy modeling. Comp. Graph. and App., pages 84-89, 2012.
15. D. Kornhauser, U. Wilensky, and W. Rand. Design guidelines for agent based model visualization. J. of Arti-cial Societies and Social Simulation, 12(2), 2009.
16. G. Polzlbauer, M. Dittenbach, and A. Rauber. Advanced visualization of self-organizing maps with vector fields. Neural Netw., 19(6):911-922, July 2006.
17. T. Ruppert, J. Bernard, and J. Kohlhammer. Bridging knowledge gaps in policy analysis with information visualization. In EGOV/ePart Ongoing Research, volume 221 of LNI, pages 92-103. GI, 2013.
18. B. Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. In IEEE Symposium on Visual Languages, pages 336-343, 1996.
19. A. Telea and J. J. van Wijk. Simplified representation of vector fields. In Proc. of the Conference on Visualization '99, pages 35-42. IEEE, 1999.
20. A. Unger and H. Schumann. Visual support for the understanding of simulation processes. In PacificVis, pages 57-64, 2009.