Michael Wellman

Personal Details

First Name:	Michael
Middle Name:
Last Name:	Wellman
Suffix:
RePEc Short-ID:	pwe1
	[This author has chosen not to make the email address public]
	http://strategicreasoning.org/michael-p-wellman/
Terminal Degree:	1988 (from RePEc Genealogy)

Affiliation

University of Michigan, College of Engineering

http://www.engin.umich.edu/
Ann Arbor, MI, USA

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. Junyi Li & Xitong Wang & Yaoyang Lin & Arunesh Sinha & Micheal P. Wellman, 2020. "Generating Realistic Stock Market Order Streams," Papers 2006.04212, arXiv.org.

   Cited by:

   1. Zijian Shi & John Cartlidge, 2021. "The Limit Order Book Recreation Model (LOBRM): An Extended Analysis," Papers 2107.00534, arXiv.org.
   2. 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.
   3. Bilgi Yilmaz & Christian Laudagé & Ralf Korn & Sascha Desmettre, 2024. "Electricity GANs: Generative Adversarial Networks for Electricity Price Scenario Generation," Commodities, MDPI, vol. 3(3), pages 1-27, July.
   4. Leonardo Berti & Bardh Prenkaj & Paola Velardi, 2025. "TRADES: Generating Realistic Market Simulations with Diffusion Models," Papers 2502.07071, arXiv.org, revised Feb 2025.
   5. Zijian Shi & Yu Chen & John Cartlidge, 2021. "The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network," Papers 2103.01670, arXiv.org.
   6. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.
   7. Rama Cont & Mihai Cucuringu & Renyuan Xu & Chao Zhang, 2022. "Tail-GAN: Learning to Simulate Tail Risk Scenarios," Papers 2203.01664, arXiv.org, revised Mar 2023.
   8. Yash Thesia & Vidhey Oza & Priyank Thakkar, 2022. "A dynamic scenario‐driven technique for stock price prediction and trading," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 653-674, April.
   9. Andrea Coletta & Matteo Prata & Michele Conti & Emanuele Mercanti & Novella Bartolini & Aymeric Moulin & Svitlana Vyetrenko & Tucker Balch, 2021. "Towards Realistic Market Simulations: a Generative Adversarial Networks Approach," Papers 2110.13287, arXiv.org.
   10. Feng Han & Xiaojuan Ma & Jiheng Zhang, 2022. "Simulating Multi-Asset Classes Prices Using Wasserstein Generative Adversarial Network: A Study of Stocks, Futures and Cryptocurrency," JRFM, MDPI, vol. 15(1), pages 1-21, January.

2. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
   • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.

   Cited by:

   1. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
   2. David Pastor-Escuredo, 2021. "Future of work: ethics," Papers 2104.02580, arXiv.org.
   3. David Pastor-Escuredo & Philip Treleaven, 2021. "Multiscale Governance," Papers 2104.02752, arXiv.org.

3. David M. Pennock & Michael P. Wellman, 2013. "Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market," Papers 1302.1564, arXiv.org.

   Cited by:

   1. David M. Pennock & Michael P. Wellman, 2005. "Graphical Models for Groups: Belief Aggregation and Risk Sharing," Decision Analysis, INFORMS, vol. 2(3), pages 148-164, September.

4. David M. Pennock & Michael P. Wellman, 2013. "Compact Securities Markets for Pareto Optimal Reallocation of Risk," Papers 1301.3886, arXiv.org.

   Cited by:

   1. David M. Pennock & Michael P. Wellman, 2005. "Graphical Models for Groups: Belief Aggregation and Risk Sharing," Decision Analysis, INFORMS, vol. 2(3), pages 148-164, September.

5. Shih-Fen Cheng & Evan Leung & Kevin M. Lochner & Kevin O'Malley & Daniel M. Reeves & L. Julian Schvartzman & Michael P. Wellman, 2003. "Walverine: A Walrasian Trading Agent," Computational Economics 0302003, University Library of Munich, Germany.

   Cited by:

   1. Kurt Nielsen & Jesper Troelsgaard Nielsen, 2010. "An Allocatively Efficient Auction Market for Payment Entitlements?," MSAP Working Paper Series 03_2010, University of Copenhagen, Department of Food and Resource Economics.
   2. Nielsen, Kurt, 2005. "Auctioning Payment Entitlements," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24566, European Association of Agricultural Economists.
   3. Yoav Shoham & Rob Powers & Trond Grenager, 2006. "If multi-agent learning is the answer, what is the question?," Levine's Working Paper Archive 122247000000001156, David K. Levine.

6. Grosof, Benjamin & Reeves, Daniel & Wellman, Michael, 2002. "Automated Negotiation from Declarative Contract Descriptions," Working papers 4188-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.

   Cited by:

   1. Meij, S. & Pau, L-F. & van Heck, H.W.G.M., 2003. "Auctioning Bulk Mobile Messages," ERIM Report Series Research in Management ERS-2003-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
      • S. Meij & L.-F. Pau, 2006. "Auctioning Bulk Mobile Messages," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 395-430, May.
   2. Grosof, Benjamin & Poon, Terrence C., 2003. "SweetDeal: Representing Agent Contracts With Exceptions using XML Rules, Ontologies, and Process Descriptions," Working papers 4424-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
   3. Michael Ströbel & Markus Stolze, 2002. "A Matchmaking Component for the Discovery of Agreement and Negotiation Spaces in Electronic Markets," Group Decision and Negotiation, Springer, vol. 11(2), pages 165-181, March.

7. Peter R. Wurman & Michael P. Wellman, 1999. "Equilibrium Prices in Bundle Auctions," Working Papers 99-09-064, Santa Fe Institute.

   Cited by:

   1. Drexl, Andreas & Jørnsten, Kurt & Knof, Diether, 2007. "Column aggregation-based pricing combinatorial auctions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 624, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
   2. Somdeb Lahiri, 2006. "Existence of Equilibrium for Integer Allocation Problems," Economics Bulletin, AccessEcon, vol. 28(14), pages 1.
      • Somdeb Lahiri, 2006. "Existence of Equilibrium for Integer Allocation Problems," Computing in Economics and Finance 2006 8, Society for Computational Economics.
   3. Gajanan Panchal & Vipul Jain & Naoufel Cheikhrouhou & Matthias Gurtner, 2017. "Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 417-436, August.
   4. Drexl, Andreas & Jörnsten, Kurt, 2005. "Reflections about pseudo-dual prices in combinatorial auctions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 590, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
      • A Drexl & K Jørnsten, 2007. "Reflections about pseudo-dual prices in combinatorial auctions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1652-1659, December.
      • Drexl, Andreas & Jörnsten, Kurt, 2005. "Reflections about pseudo-dual prices in combinatorial auctions," Discussion Papers 2005/1, Norwegian School of Economics, Department of Business and Management Science.
   5. Xia, Mu & Koehler, Gary J. & Whinston, Andrew B., 2004. "Pricing combinatorial auctions," European Journal of Operational Research, Elsevier, vol. 154(1), pages 251-270, April.
   6. Wurman, Peter R. & Wellman, Michael P. & Walsh, William E., 2001. "A Parametrization of the Auction Design Space," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 304-338, April.
   7. Proano, Ruben A. & Jacobson, Sheldon H. & Zhang, Wenbo, 2012. "Making combination vaccines more accessible to low-income countries: The antigen bundle pricing problem," Omega, Elsevier, vol. 40(1), pages 53-64, January.
   8. William E. Walsh & Michael P. Wellman, 1999. "Efficiency and Equilibrium in Task Allocation Economics with Hierarchical Dependencies," Working Papers 99-07-049, Santa Fe Institute.
   9. Jawad Abrache & Teodor Crainic & Michel Gendreau & Monia Rekik, 2007. "Combinatorial auctions," Annals of Operations Research, Springer, vol. 153(1), pages 131-164, September.

8. William E. Walsh & Michael P. Wellman, 1999. "Efficiency and Equilibrium in Task Allocation Economics with Hierarchical Dependencies," Working Papers 99-07-049, Santa Fe Institute.

   Cited by:

   1. Wellman, Michael P. & Walsh, William E. & Wurman, Peter R. & MacKie-Mason, Jeffrey K., 2001. "Auction Protocols for Decentralized Scheduling," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 271-303, April.

9. John Q. Cheng & Michael P. Wellman, 1995. "The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium Outcomes," Computational Economics 9508001, University Library of Munich, Germany.
   • Cheng, John Q & Wellman, Michael P, 1998. "The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium Outcomes," Computational Economics, Springer;Society for Computational Economics, vol. 12(1), pages 1-24, August.

   Cited by:

   1. Bill Gibson, 2007. "A Multi-Agent Systems Approach to Microeconomic Foundations of Macro," UMASS Amherst Economics Working Papers 2007-10, University of Massachusetts Amherst, Department of Economics.
   2. Kurt Nielsen & Jesper Troelsgaard Nielsen, 2010. "An Allocatively Efficient Auction Market for Payment Entitlements?," MSAP Working Paper Series 03_2010, University of Copenhagen, Department of Food and Resource Economics.
   3. Javad Khazaei & Anthony Downward & Golbon Zakeri, 2014. "Modelling counter-intuitive effects on cost and air pollution from intermittent generation," Annals of Operations Research, Springer, vol. 222(1), pages 389-418, November.
   4. Wurman, Peter R. & Wellman, Michael P. & Walsh, William E., 2001. "A Parametrization of the Auction Design Space," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 304-338, April.
   5. Eymann, Torsten & Streitberger, Werner & Reinicke, Michael & Freitag, Felix & Chacin, Pablo & Chao, Isaac & Schnizler, Björn & Veit, Daniel, 2007. "Preliminary specification and design documentation for software components to achieve catallaxy in computational systems," Bayreuth Reports on Information Systems Management 2, University of Bayreuth, Chair of Information Systems Management.
   6. Nielsen, Kurt, 2005. "Auctioning Payment Entitlements," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24566, European Association of Agricultural Economists.
   7. William E. Walsh & Michael P. Wellman, 1999. "Efficiency and Equilibrium in Task Allocation Economics with Hierarchical Dependencies," Working Papers 99-07-049, Santa Fe Institute.
   8. Rajiv T. Maheswaran & Tamer Başar, 2003. "Nash Equilibrium and Decentralized Negotiation in Auctioning Divisible Resources," Group Decision and Negotiation, Springer, vol. 12(5), pages 361-395, September.
   9. Sandholm, Tuomas W. & Lesser, Victor R., 2001. "Leveled Commitment Contracts and Strategic Breach," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 212-270, April.

Articles

1. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.

   Cited by:

   1. Zijian Shi & John Cartlidge, 2023. "Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology," Papers 2303.00080, arXiv.org.
   2. Zijian Shi & John Cartlidge, 2024. "Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.

2. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.
   • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
   See citations under working paper version above.
3. Wellman, Michael P. & Sodomka, Eric & Greenwald, Amy, 2017. "Self-confirming price-prediction strategies for simultaneous one-shot auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 339-372.

   Cited by:

   1. Wittwer, Milena, 2020. "Interconnected pay-as-bid auctions," Games and Economic Behavior, Elsevier, vol. 121(C), pages 506-530.

4. Wah, Elaine & Wellman, Michael P., 2016. "Latency arbitrage in fragmented markets: A strategic agent-based analysis," Algorithmic Finance, IOS Press, vol. 5(3-4), pages 69-93.

   Cited by:

   1. 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.
   2. Zijian Shi & John Cartlidge, 2023. "Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology," Papers 2303.00080, arXiv.org.
   3. Zijian Shi & John Cartlidge, 2024. "Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
   4. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.
   5. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).
   6. Eibelshäuser, Steffen & Smetak, Fabian, 2022. "Frequent batch auctions and informed trading," SAFE Working Paper Series 344, Leibniz Institute for Financial Research SAFE.
   7. Zhang, Zeyu & Ibikunle, Gbenga, 2023. "The market quality effects of sub-second frequent batch auctions: Evidence from dark trading restrictions," International Review of Financial Analysis, Elsevier, vol. 89(C).

5. Ben-Alexander Cassell & Michael P. Wellman, 2012. "Asset pricing under ambiguous information: an empirical game-theoretic analysis," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 445-462, December.

   Cited by:

   1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
   2. Steve Phelps & Wing Lon Ng, 2014. "A Simulation Analysis Of Herding And Unifractal Scaling Behaviour," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 39-58, January.

6. Wellman Michael P & Osepayshvili Anna & MacKie-Mason Jeffrey K & Reeves Daniel, 2008. "Bidding Strategies for Simultaneous Ascending Auctions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-43, December.

   Cited by:

   1. Wellman, Michael P. & Sodomka, Eric & Greenwald, Amy, 2017. "Self-confirming price-prediction strategies for simultaneous one-shot auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 339-372.

7. David M. Pennock & Michael P. Wellman, 2005. "Graphical Models for Groups: Belief Aggregation and Risk Sharing," Decision Analysis, INFORMS, vol. 2(3), pages 148-164, September.

   Cited by:

   1. Sarah Ben Amor & Kazimierz Zaras & Ernesto A. Aguayo, 2017. "The value of additional information in multicriteria decision making choice problems with information imperfections," Annals of Operations Research, Springer, vol. 253(1), pages 61-76, June.
   2. Yucheng Dong & Yao Li & Ying He & Xia Chen, 2021. "Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation," Decision Analysis, INFORMS, vol. 18(4), pages 273-295, December.
   3. L. Robin Keller & Kelly M. Kophazi, 2009. "From the Editors..," Decision Analysis, INFORMS, vol. 6(2), pages 53-56, June.

8. Wurman, Peter R. & Wellman, Michael P. & Walsh, William E., 2001. "A Parametrization of the Auction Design Space," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 304-338, April.

   Cited by:

   1. Mirowski, Philip, 2007. "Markets come to bits: Evolution, computation and markomata in economic science," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 209-242, June.
   2. Amelia BADICA & Georgeta SOAVA, 2008. "Intelligent Agents - a Tool for Modeling Intermediation and Negotiation Processes," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 3(36), pages 1222-1232, May.
   3. Eymann, Torsten & Reinicke, Michael & Streitberger, Werner & Schnizler, Björn & Veit, Daniel & Freitag, Felix & Chao, Isaac & Chacin, Pablo & Neumann, Dirk, 2005. "Theoretical and Computational Basis for Economical Ressource Allocation in Application Layer Networks - Annual Report Year 1," Bayreuth Reports on Information Systems Management 7, University of Bayreuth, Chair of Information Systems Management.
   4. Iftekhar, M. S. & Tisdell, J. G., 2018. "Learning in repeated multiple unit combinatorial auctions: An experimental study," Working Papers 267301, University of Western Australia, School of Agricultural and Resource Economics.
   5. Heilmann, Erik & Klempp, Nikolai & Wetzel, Heike, 2020. "Design of regional flexibility markets for electricity: A product classification framework for and application to German pilot projects," Utilities Policy, Elsevier, vol. 67(C).
   6. Guerrero, Jaysson & Gebbran, Daniel & Mhanna, Sleiman & Chapman, Archie C. & Verbič, Gregor, 2020. "Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
   7. Shazib E. Shaikh & Nikolay Mehandjiev, 2007. "E-Business Process Negotiation : Formal Requirements for Strategy Support," Microeconomics Working Papers 22278, East Asian Bureau of Economic Research.
   8. Shih-Fen Cheng & Evan Leung & Kevin M. Lochner & Kevin O'Malley & Daniel M. Reeves & L. Julian Schvartzman & Michael P. Wellman, 2003. "Walverine: A Walrasian Trading Agent," Computational Economics 0302003, University Library of Munich, Germany.
   9. Mariusz Kaleta, 2020. "Aided design of market mechanisms for electricity clusters," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1291-1314, December.
   10. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.
   11. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Koppius, Otto R., 2004. "Emerging multiple issue e-auctions," European Journal of Operational Research, Elsevier, vol. 159(1), pages 1-16, November.
   12. Erik Heilmann & Nikolai Klempp & Heike Wetzel, 2020. "Market design of regional flexibility markets: A classification metric for flexibility products and its application to German prototypical flexibility markets," MAGKS Papers on Economics 202002, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
   13. Grosof, Benjamin & Reeves, Daniel & Wellman, Michael, 2002. "Automated Negotiation from Declarative Contract Descriptions," Working papers 4188-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.
   14. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten & Freitag, Felix & Chao, Isaac & Chacin, Pablo, 2007. "A theoretical and computational basis for CATNETS," Bayreuth Reports on Information Systems Management 21, University of Bayreuth, Chair of Information Systems Management.
   15. Wellman, Michael P. & Walsh, William E. & Wurman, Peter R. & MacKie-Mason, Jeffrey K., 2001. "Auction Protocols for Decentralized Scheduling," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 271-303, April.
   16. Gediminas Adomavicius & Alok Gupta & Dmitry Zhdanov, 2009. "Designing Intelligent Software Agents for Auctions with Limited Information Feedback," Information Systems Research, INFORMS, vol. 20(4), pages 507-526, December.
   17. Jawad Abrache & Teodor Crainic & Michel Gendreau & Monia Rekik, 2007. "Combinatorial auctions," Annals of Operations Research, Springer, vol. 153(1), pages 131-164, September.

9. Wellman, Michael P. & Walsh, William E. & Wurman, Peter R. & MacKie-Mason, Jeffrey K., 2001. "Auction Protocols for Decentralized Scheduling," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 271-303, April.

   Cited by:

   1. Wang, Xiuli & Geng, Sujie & Cheng, T.C.E., 2018. "Negotiation mechanisms for an order subcontracting and scheduling problem," Omega, Elsevier, vol. 77(C), pages 154-167.
   2. Elendner, Thomas & Femerling, R., 2003. "Allocation of in-house services: Experimental comparison of allocation mechanisms," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 577, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
   3. Crescenzio Gallo & Giancarlo De Stasio & Cristina Di Letizia, 2006. "A Data Set Generation Algorithm in Combinatorial Auctions," Quaderni DSEMS 01-2006, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
   4. Anouar El Haji & Sander Onderstal, 2019. "Trading places: An experimental comparison of reallocation mechanisms for priority queuing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(4), pages 670-686, November.
      • Anouar El Haji & Sander Onderstal, 2015. "Trading Places: An Experimental Comparison of Reallocation Mechanisms for Priority Queuing," Tinbergen Institute Discussion Papers 15-063/VII, Tinbergen Institute.
   5. Zhixin Liu, 2012. "Equilibrium analysis of capacity allocation with demand competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(3‐4), pages 254-265, April.
   6. Sang Ko, Hoo & Nof, Shimon Y., 2012. "Design and application of task administration protocols for collaborative production and service systems," International Journal of Production Economics, Elsevier, vol. 135(1), pages 177-189.
   7. Agnetis, Alessandro & Chen, Bo & Nicosia, Gaia & Pacifici, Andrea, 2019. "Price of fairness in two-agent single-machine scheduling problems," European Journal of Operational Research, Elsevier, vol. 276(1), pages 79-87.
   8. Eymann, Torsten & Reinicke, Michael & Streitberger, Werner & Schnizler, Björn & Veit, Daniel & Freitag, Felix & Chao, Isaac & Chacin, Pablo & Neumann, Dirk, 2005. "Theoretical and Computational Basis for Economical Ressource Allocation in Application Layer Networks - Annual Report Year 1," Bayreuth Reports on Information Systems Management 7, University of Bayreuth, Chair of Information Systems Management.
   9. Elendner, Thomas, 2003. "Scheduling and combinatorial auctions: Lagrangean relaxation-based bonds for the WJISP," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 570, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
   10. Hall, Nicholas G. & Liu, Zhixin, 2011. "On auction protocols for decentralized scheduling," Games and Economic Behavior, Elsevier, vol. 72(2), pages 583-585, June.
   11. Holzman, Ron & Kfir-Dahav, Noa & Monderer, Dov & Tennenholtz, Moshe, 2004. "Bundling equilibrium in combinatorial auctions," Games and Economic Behavior, Elsevier, vol. 47(1), pages 104-123, April.
   12. Gajanan Panchal & Vipul Jain & Naoufel Cheikhrouhou & Matthias Gurtner, 2017. "Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 417-436, August.
   13. Archer, Aaron & Feigenbaum, Joan & Krishnamurthy, Arvind & Sami, Rahul & Shenker, Scott, 2004. "Approximation and collusion in multicast cost sharing," Games and Economic Behavior, Elsevier, vol. 47(1), pages 36-71, April.
   14. Jérémie Gallien & Lawrence M. Wein, 2005. "A Smart Market for Industrial Procurement with Capacity Constraints," Management Science, INFORMS, vol. 51(1), pages 76-91, January.
   15. Mes, Martijn & van der Heijden, Matthieu & van Harten, Aart, 2007. "Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems," European Journal of Operational Research, Elsevier, vol. 181(1), pages 59-75, August.
   16. Xianghua Chu & Su Xiu Xu & Fulin Cai & Jiansheng Chen & Quande Qin, 2019. "An efficient auction mechanism for regional logistics synchronization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2715-2731, October.
   17. D. J. Wu, 2000. "Agent‐based stochastic production lines design," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(4), pages 257-270, December.
   18. Shao, Xinyu & Ma, Li & Guan, Zailin, 2009. "A market approach to decentralized control of a manufacturing cell," Chaos, Solitons & Fractals, Elsevier, vol. 39(5), pages 2303-2310.
   19. Yubai Zhang & Zhao Zhang & Zhaohui Liu, 2022. "The price of fairness for a two-agent scheduling game minimizing total completion time," Journal of Combinatorial Optimization, Springer, vol. 44(3), pages 2104-2122, October.
   20. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.
   21. Nisan, Noam & Ronen, Amir, 2001. "Algorithmic Mechanism Design," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 166-196, April.
   22. Gallien, Jérémie. & Wein, Lawrence M., 2003. "Design and analysis of a smart market for industrial procurement," Working papers WP 4137-00., Massachusetts Institute of Technology (MIT), Sloan School of Management.
   23. Doron Sonsino & Radosveta Ivanova-Stenzel, 2006. "Experimental internet auctions with random information retrieval," Experimental Economics, Springer;Economic Science Association, vol. 9(4), pages 323-341, December.
   24. Farnia, Farnoush & Frayret, Jean-Marc & Beaudry, Catherine & Lebel, Luc, 2015. "Time-based combinatorial auction for timber allocation and delivery coordination," Forest Policy and Economics, Elsevier, vol. 50(C), pages 143-152.
   25. Allesandro Agnetis & Pitu B. Mirchandani & Dario Pacciarelli & Andrea Pacifici, 2004. "Scheduling Problems with Two Competing Agents," Operations Research, INFORMS, vol. 52(2), pages 229-242, April.
   26. Yubai Zhang & Zhao Zhang & Zhaohui Liu, 0. "The price of fairness for a two-agent scheduling game minimizing total completion time," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-19.
   27. Rajiv T. Maheswaran & Tamer Başar, 2003. "Nash Equilibrium and Decentralized Negotiation in Auctioning Divisible Resources," Group Decision and Negotiation, Springer, vol. 12(5), pages 361-395, September.
   28. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten & Freitag, Felix & Chao, Isaac & Chacin, Pablo, 2007. "A theoretical and computational basis for CATNETS," Bayreuth Reports on Information Systems Management 21, University of Bayreuth, Chair of Information Systems Management.
   29. J. Behnamian & S. M. T. Fatemi Ghomi, 2016. "A survey of multi-factory scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 231-249, February.
   30. Birgit Heydenreich & Rudolf Müller & Marc Uetz, 2010. "Mechanism Design for Decentralized Online Machine Scheduling," Operations Research, INFORMS, vol. 58(2), pages 445-457, April.
   31. Adhau, Sunil & Mittal, M.L. & Mittal, Abhinav, 2013. "A multi-agent system for decentralized multi-project scheduling with resource transfers," International Journal of Production Economics, Elsevier, vol. 146(2), pages 646-661.
   32. Rzadca, Krzysztof & Trystram, Denis, 2009. "Promoting cooperation in selfish computational grids," European Journal of Operational Research, Elsevier, vol. 199(3), pages 647-657, December.
   33. Damian R. Beil & Lawrence M. Wein, 2003. "An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process," Management Science, INFORMS, vol. 49(11), pages 1529-1545, November.
   34. Giuseppe Confessore & Stefano Giordani & Silvia Rismondo, 2007. "A market-based multi-agent system model for decentralized multi-project scheduling," Annals of Operations Research, Springer, vol. 150(1), pages 115-135, March.
   35. Schnizler, Bjorn & Neumann, Dirk & Veit, Daniel & Weinhardt, Christof, 2008. "Trading grid services - a multi-attribute combinatorial approach," European Journal of Operational Research, Elsevier, vol. 187(3), pages 943-961, June.
   36. Jawad Abrache & Teodor Crainic & Michel Gendreau & Monia Rekik, 2007. "Combinatorial auctions," Annals of Operations Research, Springer, vol. 153(1), pages 131-164, September.

10. Cheng, John Q & Wellman, Michael P, 1998. "The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium Outcomes," Computational Economics, Springer;Society for Computational Economics, vol. 12(1), pages 1-24, August.
    • John Q. Cheng & Michael P. Wellman, 1995. "The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium Outcomes," Computational Economics 9508001, University Library of Munich, Germany.
    See citations under working paper version above.
11. Wellman, Michael P., 1994. "Inference in cognitive maps," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 36(2), pages 137-148.

    Cited by:

    1. Frank van Kouwen & Card Dieperink & Paul P Schot & Martin J Wassen, 2009. "Computer-Supported Cognitive Mapping for Participatory Problem Structuring," Environment and Planning A, , vol. 41(1), pages 63-81, January.
    2. van Kouwen, Frank & Dieperink, Carel & Schot, Paul P. & Wassen, Martin J., 2007. "Interactive Problem Structuring with ICZM Stakeholders," Natural Resources Management Working Papers 9555, Fondazione Eni Enrico Mattei (FEEM).
    3. Montibeller, Gilberto & Belton, Valerie, 2009. "Qualitative operators for reasoning maps: Evaluating multi-criteria options with networks of reasons," European Journal of Operational Research, Elsevier, vol. 195(3), pages 829-840, June.
    4. Marchant, Thierry, 1999. "Cognitive maps and fuzzy implications," European Journal of Operational Research, Elsevier, vol. 114(3), pages 626-637, May.
    5. G Montibeller & V Belton & F Ackermann & L Ensslin, 2008. "Reasoning maps for decision aid: an integrated approach for problem-structuring and multi-criteria evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 575-589, May.
    6. G Montibeller & V Belton, 2006. "Causal maps and the evaluation of decision options—a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(7), pages 779-791, July.
    7. Frank van Kouwen & Carel Dieperink & Paul P. Schot & Martin J. Wassen, 2007. "Interactive Problem Structuring with ICZM Stakeholders," Working Papers 2007.52, Fondazione Eni Enrico Mattei.
    8. Rodrigues, Teresa C. & Montibeller, Gilberto & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2017. "Modelling multicriteria value interactions with Reasoning Maps," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1054-1071.

12. Michael P. Wellman & Mark H. Eckman & Craig Fleming & Sharon L. Marshall & Frank A. Sonnenberg & Stephen G. Pauker, 1989. "Automated Critiquing of Medical Decision Trees," Medical Decision Making, , vol. 9(4), pages 272-284, December.

    Cited by:

    1. Stephen G. Pauker & John B. Wong, 2005. "The Influence of Influence Diagrams in Medicine," Decision Analysis, INFORMS, vol. 2(4), pages 238-244, December.

Chapters

1. MacKie-Mason, Jeffrey K. & Wellman, Michael P., 2006. "Automated Markets and Trading Agents," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 28, pages 1381-1431, Elsevier.

   Cited by:

   1. Stößer, Jochen & Neumann, Dirk & Weinhardt, Christof, 2010. "Market-based pricing in grids: On strategic manipulation and computational cost," European Journal of Operational Research, Elsevier, vol. 203(2), pages 464-475, June.
   2. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
      • Myong-Hun Chang & Joseph E Harrington Jr, 2004. "Agent-Based Models of Organizations," Economics Working Paper Archive 515, The Johns Hopkins University,Department of Economics.
   3. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
      • John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, University Library of Munich, Germany.
   4. Olivier Armantier & Jean-Pierre Florens & Jean-Francois Richard, 2008. "Approximation of Nash equilibria in Bayesian games," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 965-981.
   5. Block, C. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
   6. Shira Fano & Marco LiCalzi & Paolo Pellizzari, 2013. "Convergence of outcomes and evolution of strategic behavior in double auctions," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 513-538, July.
      • Shira Fano & Marco Li Calzi & Paolo Pellizzari, 2010. "Convergence of outcomes and evolution of strategic behavior in double auctions," Working Papers 196, Department of Applied Mathematics, Università Ca' Foscari Venezia.
   7. Karla Atkins & Achla Marathe & Chris Barrett, 2006. "A Computational Approach to Modeling Commodity Markets," Computing in Economics and Finance 2006 240, Society for Computational Economics.
      • Karla Atkins & Achla Marathe & Chris Barrett, 2007. "A computational approach to modeling commodity markets," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 125-142, September.
   8. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
   9. Christoph Mazur & Stephen Hall & Jeffrey Hardy & Mark Workman, 2019. "Technology is not a Barrier: A Survey of Energy System Technologies Required for Innovative Electricity Business Models Driving the Low Carbon Energy Revolution," Energies, MDPI, vol. 12(3), pages 1-13, January.

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers 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-MIC: Microeconomics (3) 1999-09-21 1999-09-21 2003-03-03
2. NEP-CMP: Computational Economics (2) 1999-10-04 2020-06-22
3. NEP-FMK: Financial Markets (1) 2020-06-22
4. NEP-MST: Market Microstructure (1) 2020-06-22
5. NEP-NET: Network Economics (1) 2020-06-22
6. NEP-UPT: Utility Models and Prospect Theory (1) 2013-02-16

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