Alexander V. Outkin

Personal Details

First Name:	Alexander
Middle Name:	V.
Last Name:	Outkin
Suffix:
RePEc Short-ID:	pou54
	[This author has chosen not to make the email address public]

Affiliation

Sandia National Laboratories

http://www.sandia.gov
Albuquerque, NM
Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185
(505) 284-5200

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Berninghaus, Siegfried & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Papers 05-35, Sonderforschungsbreich 504.
   • Siegfried Berninghaus & Hans Haller & Alexander Outkin, 2006. "Neural networks and contagion," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 11-11.
   • Berninghaus, Siegfried K. & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Sonderforschungsbereich 504 Publications 05-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.

   Cited by:

   1. Jacques Durieu & Philippe Solal, 2012. "Models of adaptive learning in game theory," Post-Print halshs-00667674, HAL.
      • Jacques Durieu & Philippe Solal, 2012. "Models of Adaptive Learning in Game Theory," Chapters, in: Richard Arena & Agnès Festré & Nathalie Lazaric (ed.), Handbook of Knowledge and Economics, chapter 11, Edward Elgar Publishing.
   2. Berninghaus, Siegfried & Haller, Hans, 2007. "Pairwise interaction on random graphs," Papers 06-16, Sonderforschungsbreich 504.

Articles

1. Andjelka Kelic & Zachary A. Collier & Christopher Brown & Walter E. Beyeler & Alexander V. Outkin & Vanessa N. Vargas & Mark A. Ehlen & Christopher Judson & Ali Zaidi & Billy Leung & Igor Linkov, 2013. "Decision framework for evaluating the macroeconomic risks and policy impacts of cyber attacks," Environment Systems and Decisions, Springer, vol. 33(4), pages 544-560, December.

   Cited by:

   1. Zachary A. Collier & Igor Linkov & James H. Lambert, 2013. "Four domains of cybersecurity: a risk-based systems approach to cyber decisions," Environment Systems and Decisions, Springer, vol. 33(4), pages 469-470, December.
   2. Daniel DiMase & Zachary A. Collier & Jinae Carlson & Robin B. Gray & Igor Linkov, 2016. "Traceability and Risk Analysis Strategies for Addressing Counterfeit Electronics in Supply Chains for Complex Systems," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1834-1843, October.
   3. Daniel DiMase & Zachary A. Collier & Kenneth Heffner & Igor Linkov, 2015. "Systems engineering framework for cyber physical security and resilience," Environment Systems and Decisions, Springer, vol. 35(2), pages 291-300, June.
   4. Alexander A. Ganin & Phuoc Quach & Mahesh Panwar & Zachary A. Collier & Jeffrey M. Keisler & Dayton Marchese & Igor Linkov, 2020. "Multicriteria Decision Framework for Cybersecurity Risk Assessment and Management," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 183-199, January.
   5. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

2. Siegfried Berninghaus & Hans Haller & Alexander Outkin, 2006. "Neural networks and contagion," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 11-11.
   • Berninghaus, Siegfried & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Papers 05-35, Sonderforschungsbreich 504.
   • Berninghaus, Siegfried K. & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Sonderforschungsbereich 504 Publications 05-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
   See citations under working paper version above.
3. Outkin, Alexander V., 2003. "Cooperation and local interactions in the Prisoners' Dilemma Game," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 481-503, December.

   Cited by:

   1. Jianjun Lu & Shozo Tokinaga, 2016. "Cluster fluctuation in two-dimensional lattices with local interactions," Computational and Mathematical Organization Theory, Springer, vol. 22(2), pages 237-259, June.
   2. Hanjoon Michael Jung, 2012. "Ability-based Cooperation in a Prisoner’s Dilemma Game," Korean Economic Review, Korean Economic Association, vol. 28, pages 137-160.
   3. Berninghaus, Siegfried K. & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Sonderforschungsbereich 504 Publications 05-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
      • Berninghaus, Siegfried & Haller, Hans & Outkin, Alexander, 2005. "Neural Networks and Contagion," Papers 05-35, Sonderforschungsbreich 504.
      • Siegfried Berninghaus & Hans Haller & Alexander Outkin, 2006. "Neural networks and contagion," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 11-11.
   4. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
   5. Berninghaus, Siegfried & Haller, Hans, 2007. "Pairwise interaction on random graphs," Papers 06-16, Sonderforschungsbreich 504.
   6. Xie Nenggang & Ye Ye & Bao Wei & Wang Meng, 2020. "A New Type of Evolutionary Strategy Based on a Multi-player Iterated Prisoner’s Dilemma Game," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 67-81, February.
   7. Stark, Oded & Behrens, Doris A., 2009. "An Evolutionary Edge of Knowing Less (or: On the "Curse" of Global Information)," Discussion Papers 49924, University of Bonn, Center for Development Research (ZEF).
      • Oded Stark & Doris Behrens, 2010. "An evolutionary edge of knowing less (or: On the ‘curse’ of global information)," Journal of Evolutionary Economics, Springer, vol. 20(1), pages 77-94, January.
   8. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2011. "An evolutionary model of price competition among spatially distributed firms," Econometric Institute Research Papers EI 2011-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
      • Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2013. "An Evolutionary Model of Price Competition Among Spatially Distributed Firms," Computational Economics, Springer;Society for Computational Economics, vol. 42(4), pages 373-391, December.
   9. Hsiao‐Chi Chen & Shi‐Miin Liu, 2023. "International environmental agreements under different evolutionary imitation mechanisms," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(2), pages 248-289, June.

Chapters

1. Vincent Darley & Alexander V Outkin, 2007. "Learning, Evolution and Tick Size Effects," World Scientific Book Chapters, in: A Nasdaq Market Simulation Insights on a Major Market from the Science of Complex Adaptive Systems, chapter 5, pages 81-87, World Scientific Publishing Co. Pte. Ltd..

   Cited by:

   1. Richard Bookstaber & Michael D. Foley & Brian F. Tivnan, 2015. "Market Liquidity and Heterogeneity in the Investor Decision Cycle," Working Papers 15-03, Office of Financial Research, US Department of the Treasury.
   2. Brian Tivnan & Matthew Koehler & Matthew McMahon & Matthew Olson & Neal Rothleder & Rajani Shenoy, 2011. "Adding to the Regulator's Toolbox: Integration and Extension of Two Leading Market Models," Papers 1105.5439, arXiv.org.
   3. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.

Books

1. Vince Darley & Alexander V Outkin, 2007. "A NASDAQ Market Simulation:Insights on a Major Market from the Science of Complex Adaptive Systems," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6217, August.

   Cited by:

   1. Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
   2. Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2014. "Effects of Limit Order Book Information Level on Market Stability Metrics," Working Papers 14-09, Office of Financial Research, US Department of the Treasury.
      • Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2017. "Effects of limit order book information level on market stability metrics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 221-247, July.
   3. Gelman, Sergey & Lushchikov, Roman, 2015. "Stock liquidity in forefront of anticipated announcements," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113176, Verein für Socialpolitik / German Economic Association.
   4. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
   5. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
   6. Xinhui Yang & Jie Zhang & Qing Ye, 2020. "Tick size and market quality: Simulations based on agent‐based artificial stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 125-141, July.
   7. Liudmila G. Egorova, 2014. "The Effectiveness Of Different Trading Strategies For Price-Takers," HSE Working papers WP BRP 29/FE/2014, National Research University Higher School of Economics.
   8. Takanobu Mizuta, 2019. "An agent-based model for designing a financial market that works well," Papers 1906.06000, arXiv.org.
   9. Victor Storchan & Svitlana Vyetrenko & Tucker Balch, 2021. "Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators," Papers 2108.00664, arXiv.org.
   10. Colin M. Van Oort & Ethan Ratliff-Crain & Brian F. Tivnan & Safwan Wshah, 2023. "Adaptive Agents and Data Quality in Agent-Based Financial Markets," Papers 2311.15974, arXiv.org.
   11. Saki Kawakubo & Kiyoshi Izumi & Shinobu Yoshimura, 2014. "Analysis Of An Option Market Dynamics Based On A Heterogeneous Agent Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 105-128, April.
   12. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
   13. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach," Papers 2208.13654, arXiv.org.
   14. Svitlana Vyetrenko & David Byrd & Nick Petosa & Mahmoud Mahfouz & Danial Dervovic & Manuela Veloso & Tucker Hybinette Balch, 2019. "Get Real: Realism Metrics for Robust Limit Order Book Market Simulations," Papers 1912.04941, arXiv.org.
   15. Richard Bookstaber & Mark Paddrik, 2015. "An Agent-Based Model of Liquidity," Working Papers 15-18, Office of Financial Research, US Department of the Treasury.
   16. Andjelka Kelic & Zachary A. Collier & Christopher Brown & Walter E. Beyeler & Alexander V. Outkin & Vanessa N. Vargas & Mark A. Ehlen & Christopher Judson & Ali Zaidi & Billy Leung & Igor Linkov, 2013. "Decision framework for evaluating the macroeconomic risks and policy impacts of cyber attacks," Environment Systems and Decisions, Springer, vol. 33(4), pages 544-560, December.
   17. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(5), pages 625-655, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-GTH: Game Theory (1) 2005-11-19

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