SICS TAC Site
All the information you need to participate in TAC.

TAC Press Reports
TAC in the press.

TAC Research Reports
TAC articles, papers, and presentatiions.

TAC Research Reports

Links to articles, papers, and presentations on TAC.

Publications

• TAC-06 Travel Agents
• TAC-06 SCM
• TAC-05 Travel Agents
• TAC-05 SCM
• TAC-04 Travel Agents
• TAC-04 SCM
• TAC-03 Travel
• TAC-03 SCM Competition
• TAC-03 SCM Agents
• TAC-02 Competition
• TAC-02 Agents
• TAC-01 Competition
• TAC-01 Agents
• TAC-00 Competition
• TAC-00 Agents
• Other TAC-related articles

Presentations and Agent Descriptions

• TAC-06 SCM Agents
• TAC-06 Travel Agents
• TAC-05 SCM Agents
• TAC-05 Travel Agents
• TAC-04 SCM Agents
• TAC-04 Travel Agents
• TAC-03 SCM Agents
• TAC-03 Travel Agents
• TAC-02 Agents
• TAC-01 Agents

Publications

Book on TAC Travel

• Michael P. Wellman, Amy Greenwald, and Peter Stone. Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition. MIT Press, 2007.

Articles about TAC-07 SCM, and specific agents

• John Collins, Wolfgang Ketter, Maria Gini, and Amrudin Agovic. Software architecture of the MinneTAC supply-chain trading agent. Technical Report 07-006, University of Minnesota, Dept of Computer Science and Engineering, 2007.

Articles about TAC-06 Travel agents

• Seong Jae Lee, Amy Greenwald, and Victor Naroditskiy. RoxyBot-06: An (SAA)² TAC Travel Agent. Twentieth International Joint Conference on Artificial Intelligence, pages 1378–1383, Hyderabad, 2007.

Articles about TAC-06 SCM, and specific agents

• Patrick Jordan, Christopher Kiekintveld, and Michael P. Wellman. Empirical game-theoretic analysis of the TAC supply chain game. Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1188–1195, Honolulu, HI, 2007.
• Wolfgang Ketter, John Collins, Maria Gini, Alok Gupta, and Paul Schrater. Strategic sales management guided by economic regimes. In Peter Vervest, Eric van Heck, Kenneth Preiss, and Louis-Francois Pau, eds., Second Smart Business Network Initiative Discovery Event, Springer Verlag, 2007.
• Wolfgang Ketter, John Collins, Maria Gini, Alok Gupta, and Paul Schrater. A predictive empirical model for pricing and resource allocation decisions. International Conference on Electronic Commerce, Minneapolis, 2007.
• Daniel Macías Galindo, Darnes Vilariño Ayala, and Fabiola López y López. Tiancalli06: An Agent for the Supply Chain Management Game 2006. International Conference on Computational Intelligence for Modelling Control and Automation,and International Conference on Intelligent Agents, Web Technologies, and Internet Commerce.
• Daniel Macías Galindo, Darnes Vilariño Ayala, and Fabiola López y López. Statistic Analysis for the Tiancalli Agents on TAC SCM 2005 and 2006. Fifteenth International Conference on Computing, pages 161–166, 2006.
• David Pardoe and Peter Stone. Adapting in agent-based markets: A study from TAC SCM. Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 677–679, Honolulu, HI, 2007.
• David Pardoe and Peter Stone. An autonomous agent for supply chain management.

Articles about TAC-05 Travel agents

• Panos Toulis, Dionisis Kehagias, and Pericles Mitkas. Mertacor: A Successful Autonomous Trading Agent. Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1191–1198, Hakodate, Japan, 2006.
• Dionisis Kehagias, Panos Toulis, and Pericles Mitkas. A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition. Fourth Hellenic Conference on Artificial Intelligence (SETN’06), Heraklion, Greece, 2006.
• Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, and Rahul Suri. Searching for Walverine 2005. in Han La Poutré, Norman Sadeh and Sverker Janson (eds.), Agent-Mediated Electronic Commerce: Designing Trading Agents and Mechanisms, LNAI 3937, Springer Verlag, 2006.

Articles about TAC-05 SCM, and specific agents

• Michael Benisch, James Andrews, and Norman Sadeh. Pricing for customers with probabilistic valuations as a continuous knapsack problem. Eighth International Conference on Electronic Commerce, Fredericton, NB, 2006.
• Michael Benisch, Alberto Sardinha, James Andrews, and Norman Sadeh. CMieux: Adaptive strategies for competitive supply chain trading. Eighth International Conference on Electronic Commerce, Fredericton, NB, 2006. [SIGecom Exchanges version]
• Brett, Borghetti, Eric Sodomka, Maria Gini, and John Collins. A market-pressure-based performance evaluator for TAC-SCM. AAMAS-06 Workshop on Trading Agent Design and Analysis (TADA/AMEC), Hakodate, Japan, 2006.
• Kenneth N. Brown, David A. Burke, Brahim Hnich, and Armagan Tarim. The Trading Agent Competition as a test problem for constraint solving under change and uncertainty. Int'l Workshop on Constraint Solving under Change and Uncertainty, Sitges, Spain, 2005.
• David A. Burke, Kenneth N. Brown, Brahim Hnich, and Armagan Tarim. Learning market prices for a real-time supply chain management trading agent. AAMAS-06 Workshop on Trading Agent Design and Analysis (TADA/AMEC), Hakodate, Japan, 2006.
• Minghua He, Alex Rogers, Xudong Luo, and Nicholas R. Jennings. Designing a successful trading agent for supply chain management. Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1159–1166, Hakodate, Japan, 2006.
• Patrick R. Jordan, Christopher Kiekintveld, Jason Miller, and Michael P. Wellman. Market efficiency, sales competition, and the bullwhip effect in the TAC SCM tournaments. AAMAS-06 Workshop on Trading Agent Design and Analysis (TADA/AMEC), Hakodate, Japan, 2006.
• Christopher Kiekintveld, Jason Miller, Patrick Jordan, and Michael P. Wellman. Controlling a supply chain agent using value-based decomposition. Seventh ACM Conference on Electronic Commerce, pages 208–217, Ann Arbor, MI, 2006.
• Christopher Kiekintveld, Jason Miller, Patrick Jordan, and Michael P. Wellman. Forecasting market prices in a supply chain game. Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1318–1325, Honolulu, HI, 2007.
• Ioannis Kontogounis, Kyriakos C. Chatzidimitriou, Andreas L. Symeonidis, and Pericles A. Mitkas. A Robust Agent Design for Dynamic SCM Environments. Fourth Hellenic Conference on Artificial Intelligence (SETN’06), Heraklion, Greece, 2006.
• David Pardoe and Peter Stone. TacTex-05: A champion supply chain management agent. Twenty-First National Conference on Artificial Intelligence, pages 1389–1394, Boston, 2006.
• David Pardoe and Peter Stone. Predictive planning for supply chain management. Sixteenth International Conference on Automated Planning and Scheduling, Cumbria, UK, 2006.
• David Pardoe, Peter Stone, and Mark VanMiddlesworth. TacTex-05: An Adaptive Agent for TAC SCM. AAMAS-06 Workshop on Trading Agent Design and Analysis (TADA/AMEC), Hakodate, Japan, 2006. [extended workshop version of AAAI-06 paper]
• A. Petric, V. Podobnik, and G. Jezic. The CrocodileAgent: Analysis and comparison with other TAC SCM 2005 agents. AAMAS-06 Workshop on Trading Agent Design and Analysis (TADA/AMEC), Hakodate, Japan, 2006.
• Jan Ulrich. An Analysis of the 2005 TAC SCM Finals. Undergraduate thesis, University of Texas at Austin, 2006.
• Michael P. Wellman, Patrick R. Jordan, Christopher Kiekintveld, Jason Miller, and Daniel M. Reeves. Empirical game-theoretic analysis of the TAC market games [covers both SCM and Travel]. AAMAS-06 Workshop on Game-Theoretic and Decision-Theoretic Agents, Hakodate, Japan, 2006.

Articles about TAC-04 Travel agents

• José Alberto R. P. Sardinha, Ruy L. Milidiú, Patrick M. Paranhos, Pedro M. Cunha, Carlos J. P. Lucena. An Agent Based Architecture for Highly Competitive Electronic Markets. Eighteenth International FLAIRS Conference, pages 326–331, Clearwater Beach, FL, 2005.
• Ioannis A. Vetsikas and Bart Selman. Autonomous Trading Agent Design in the Presence of Tradeoffs. Seventh International Conference on Electronic Commerce, Xian, China, 2005.

Articles about TAC-04 SCM, and specific agents

• Sarah Bell, Michael Benisch, Margaret Benthall, Amy Greenwald, and Michael Carl Tschantz. Multi-period online optimization in TAC SCM: The supplier offer acceptance problem. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Scott Buffett and Nathan Scott. An Algorithm for Procurement in Supply Chain Management. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Joakim Eriksson, Niclas Finne, and Sverker Janson. Evolution of a Supply Chain Management Game for the Trading Agent Competition. AI Communications 19(1):1-12, 2006.
• Minghua He, Alex Rogers, Esther David, and Nicholas R. Jennings. Designing and Evaluating an Adaptive Trading Agent for Supply Chain Management Applications. IJCAI-05 Workshop on Trading Agent Design and Analysis, Edinburgh, 2005.
• Carlos R. Jaimez-Gonzalez and Maria Fasli. Socrates: A production-driven SCM agent. IJCAI-05 Workshop on Trading Agent Design and Analysis, Edinburgh, 2005.
• Wolfgang Ketter, John Collins, Maria Gini, Alok Gupta, and Paul Schrater. Identifying and Forecasting Economic Regimes in TAC SCM. IJCAI-05 Workshop on Trading Agent Design and Analysis, Edinburgh, 2005.
• Christopher Kiekintveld, Yevgeniy Vorobeychik, and Michael P. Wellman. An analysis of the 2004 supply chain management trading agent competition. in Han La Poutré, Norman Sadeh and Sverker Janson (eds.), Agent-Mediated Electronic Commerce: Designing Trading Agents and Mechanisms, LNAI 3937, Springer Verlag, 2006.
• A. Petric and K. Jurasovic. KrokodilAgent: A Supply Chain Management Agent. Eighth International Conference on Telecommunications, pages 297–302, Zagreb, 2005.
• Yevgeniy Vorobeychik, Christopher Kiekintveld, and Michael P. Wellman. Empirical mechanism design: Methods, with application to a supply-chain scenario. Seventh ACM Conference on Electronic Commerce, pages 306–315, Ann Arbor, MI, 2006.

Articles about TAC-03 Travel agents

• Masaki Onodera, Hidenori Kawamura, Masahito Yamamoto, Koichi Kurumatani, and Azuma Ohuchi. Design of Adaptive Trading Strategy for Trading Agent Competition. International Technical Conference on Circuits/Systems, Computers, and Communications, pages 337-340, 2003.

Articles about TAC-03 SCM

• Raghu Arunachalam and Norman Sadeh. The supply chain trading agent competition. Electronic Commerce Research and Applications 4:63–81, 2005. Revised and extended version of paper at AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Raghu Arunachalam, Norman Sadeh, Joakim Eriksson, Niclas Finne, and Sverker Janson. A supply chain management game for the trading agent competition. IJCAI-03 Workshop on Trading Agent Design and Analysis, Acapulco, 2003.
• Michael P. Wellman, Joshua Estelle, Satinder Singh, Yevgeniy Vorobeychik, Christopher Kiekintveld, and Vishal Soni. Strategic interactions in a supply chain game. Computational Intelligence 21:1–26, 2005.
• Norman Sadeh, Raghu Arunachalam, Joakim Eriksson, Niclas Finne, and Sverker Janson. TAC-03: A supply-chain trading competition. AI Magazine 24(1):92-94, 2003.

Articles about specific agents designed for TAC-03 SCM

• M. Benisch, A. Greenwald, I. Grypari, R. Lederman, V. Naroditskiy, and M. Tschantz. Botticelli: A Supply Chain Management Agent. Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, 2004.
• Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, and Michael Tschantz. Botticelli: A Supply Chain Management Agent Designed to Optimize under Uncertainty. SIGecom Exchanges 4(3):29–37, 2004.
• Michael Benisch, Amy Greenwald, Victor Naroditskiy, and Michael Tschantz. A Stochastic Programming Approach to Scheduling in TAC SCM. Fifth ACM Conference on Electronic Commerce, pages 152–159, 2004.
• Erik Dahlgren and Peter R. Wurman. PackaTAC: A Conservative Trading Agent. SIGecom Exchanges 4(3):38–45, 2004. Dahlgren's master's thesis by the same title is also available online.
• Rui Dong, Terry Tai, Wilfred Yeung, and David C. Parkes. HarTAC: The Harvard TAC SCM'03 Agent. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Philipp W. Keller, Felix-Olivier Duguay, Doina Precup. RedAgent-2003: An autonomous, market-based supply-chain management agent. Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, 2004.
• Phillipp W. Keller, Felix-Olivier Duguay, and Doina Precup. RedAgent: Winner of TAC SCM 2003. SIGecom Exchanges 4(3):1–8, 2004.
• Wolfgang Ketter, Elena Kryzhnyaya, Steven Damer, Colin McMillen, Amrudin Agovic, John Collins, and Maria Gini. Analysis and Design of Supply-Driven Strategies in TAC SCM. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004. Extended technical report.
• Christopher Kiekintveld, Michael P. Wellman, Satinder Singh, Joshua Estelle, Yevgeniy Vorobeychik, Vishal Soni, and Matthew Rudary. Distributed feedback control for decision making on supply chains.Fourteenth International Conference on Automated Planning and Scheduling, Whistler, BC, 2004.
• Christopher Kiekintveld, Michael P. Wellman, Satinder Singh, and Vishal Soni. Value-Driven Procurement in the TAC Supply Chain Game. SIGecom Exchanges 4(3):9–18, 2004.
• David Pardoe and Peter Stone. TacTex-03: A Supply Chain Management Agent. SIGecom Exchanges 4(3):19–28, 2004.
• David Pardoe and Peter Stone. Bidding for Customer Orders in TAC SCM: A Learning Approach. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004. A related paper appears in AAMAS-04 Workshop on Agent-Mediated Electronic Commerce, New York, 2004.
• Shuang Sun, Viswanath Avasarala, Tracy Mullen and John Yen. PSUTAC: A Trading Agent Designed from Heuristics to Knowledge. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Dongmo Zhang, Kanghua Zhao, Chia-Ming Liang, Gonelur Begum Huq, and Tze-Haw Huang. Strategic Trading Agents via Market Modelling. SIGecom Exchanges 4(3):46–55, 2004.

Articles about TAC-02

• Joakim Eriksson and Sverker Janson. The Trading Agent Competition - TAC 2002. ERCIM News, 51, October 2002.
• Amy Greenwald (ed.). The 2002 trading agent competition: An overview of agent strategies. AI Magazine, 24(1):83-91, 2003.
• Michael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, and Kevin M. Lochner. Trading agents competing: Performance, progress, and market effectiveness. IEEE Intelligent Systems, 18(6): 48-53, 2003.
  • Earlier version appeared in IJCAI-03 Workshop on Trading Agent Design and Analysis, Acapulco, 2003.
• Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, and Yevgeniy Vorobeychik. Price prediction in a trading agent competition. Journal of Artificial Intelligence Research 21:19–36, 2004.

Articles about specific agents designed for TAC-02

• Shih-Fen Cheng, et al. Walverine: A Walrasian trading agent. Decision Support Systems 39:169–184, 2005.
  • Earlier version appeared in Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, 2003.
• Li Ding, Tim Finin, Yongmei Shi, Youyong Zou, Zhongli Ding, and Rong Pan. Strategies and heuristics used by the UMBCTAC agent in the third Trading Agent Competition. IJCAI-03 Workshop on Trading Agent Design and Analysis, Acapulco, 2003.
• Maria Fasli and Nikolaos Poursanidis. Thalis: An autonomous trading agent.
• Minghua He and Nicholas R. Jennings. SouthamptonTAC: An adaptive autonomous trading agent. ACM Transactions on Internet Technology 3:218–235, 2003.
• Minghua He and Nicholas R. Jennings. Designing a successful trading agent: A fuzzy set approach. IEEE Transactions on Fuzzy Systems 12:389–410, 2004.
• Ioannis A. Vetsikas and Bart Selman. A principled study of the design tradeoffs for autonomous trading agents. Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, pages 473-480, Melbourne, 2003.

Articles about TAC-01

• Maria Fasli, Trading Agent Competition 2001. AgentLink News 9:13–14, 2002.
• Pier Luca Lanzi and Alessandro Strada, A Statistical Analysis of the Trading Agent Competition 2001. In SIGecom Exchanges 3(2):1-8, 2002.
• Michael P. Wellman, Amy Greenwald, Peter Stone, and Peter R. Wurman, The 2001 Trading Agent Competition. Electronic Markets 13(1), 2003.
  • Earlier version appeared in Fourteenth Conference on Innovative Applications of Artificial Intelligence, pages 935-941, Edmonton, 2002.

Articles about specific agents designed for TAC-01

• Erik Aurell, Magnus Boman, Mats Carlsson, Joakim Eriksson, Niclas Finne, Sverker Janson, Per Kreuger, and Lars Rasmusson. A trading agent built on constraint programming. Eighth International Conference of the Society for Computational Economics: Computing in Economics and Finance, Aix-en-Provence, 2002.
• Clemens Fritschi and Klaus Dorer. Agent-oriented software engineering for successful TAC participation. First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, 2002.
• Amy Greenwald. The International Trading Agent Competition: Focus on RoxyBot. Computing Research News 14(5), 2002.
• Minghua He and Nicholas R. Jennings. SouthamptonTAC: Designing a successful trading agent. Fifteenth European Conference on Artificial Intelligence, pages 8-12, Lyon, 2002.
• Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, and David McAllester. Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions. Journal of Artificial Intelligence Research 19:209-242, 2003. Combines and revises two conference papers:
  • Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and János A. Csirik. Modeling auction price uncertainty using boosting-based conditional density estimation. Nineteenth International Conference on Machine Learning, Sydney, 2002.
  • Peter Stone, Robert E. Schapire, János A. Csirik, Michael L. Littman, and David McAllester. ATTac-2001: A learning autonomous bidding agent. In Agent Mediated Electronic Commerce IV, LNCS vol. 2531, Springer Verlag.

Articles about TAC-00

Two articles on TAC-00 were featured in IEEE Internet Computing 5(2), March 2001: 

• Designing the market game for a trading agent competition. Overview article by the TAC Team. 
  • Sidebar on TAC market visualization, by Christopher G. Healey and Peter R. Wurman.
• Autonomous bidding agents in the trading agent competition. Contributions from three TAC entrants, edited by Amy Greenwald and Peter Stone. [An extended version, including discussion of twelve TAC entrants, appeared in Electronic Commerce Research 5:229-265, 2005.] 

• Magnus Boman. Trading Agents. AgentLink News 6:15–16, 2001.

Articles about specific agents designed for TAC-00

• Nicoletta Fornara and Luca Maria Gambardella. An Autonomous Bidding Agent for Simultaneous Auctions. Fifth International Workshop on Cooperative Information Agents (CIA-2001) Lecture Notes on Artificial Intelligence LNAI 2182, pages130-141
• Amy Greenwald and Justin Boyan, Bidding algorithms for simultaneous auctions: A case study. Autonomous Agents and Multiagent Systems 10:67–89, 2005.
  • previous version: Bidding algorithms for simultaneous auctions: A case study. Third ACM Conference on Electronic Commerce, pages 115-124. Tampa, FL, 2001.
• Peter Stone, Michael L. Littman, Satinder Singh, and Michael Kearns, ATTac-2000: An adaptive autonomous bidding agent. Journal of Artificial Intelligence Research 15:189-206, 2001. A previous version was presented at the Fifth International Conference on Autonomous Agents (Agents-01). 

Other TAC-related articles

• Sarah Bell, Michael Benisch, Margaret Benthall, Amy Greenwald, and Michael Carl Tschantz. Multi-period Online Optimization in TAC SCM: The Supplier Offer Acceptance Problem. AAMAS-04 Workshop on Trading Agent Design and Analysis, New York, 2004.
• Amy Greenwald and Justin Boyan. Bidding under uncertainty: Theory and experiments. Twentieth Conference on Uncertainty in Artificial Intelligence, Banff, 2004.
  • previous version: Bidding under uncertainty in simultaneous auctions. IJCAI-03 Workshop on Trading Agent Design and Analysis, Acapulco, 2003.
• Amy Greenwald, Bryan Guillemette, Victor Naroditskiy, and Michael Tschantz. Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents. IJCAI-05 Workshop on Trading Agent Design and Analysis, Edinburgh, 2005.
• Peter Stone. Multiagent competitions and research: Lessons from RoboCup and TAC. In Gal A. Kaminka, Pedro U. Lima, and Raul Rojas, editors, RoboCup-2002: Robot Soccer World Cup VI, pages 224–237, Springer Verlag, 2003.
• Ioannis A. Vetsikas and Bart Selman. Bayes-Nash equilibria for mth-price auctions with multiple closing times. SIGecom Exchanges, to appear.
• Michael P. Wellman and Peter R. Wurman. A trading agent competition for the research community. IJCAI-99 Workshop on Agent-Mediated Electronic Commerce, Stockholm, 1999.
• Youyong Zou, Tim Finin, Li Ding, Harry Chen, and Rong Pan. TAGA: Trading agent competition in Agentcities. IJCAI-03 Workshop on Trading Agent Design and Analysis, Acapulco, 2003.

Presentations and Agent Descriptions

TAC-06 Travel Agent Descriptions

• Walverine 2006. (University of Michigan).

TAC-05 SCM Agent Descriptions

• CrocodileAgent. Vedran Podobnik, Ana Petric, and Kresimir Jurasovic (University of Zagreb).
• Deep Maize 2005. Patrick Jordan, Christopher Kiekintveld, Jason Miller, and Michael P. Wellman (University of Michigan).
• Foreseer. David A. Burke, Kenneth N. Brown, Onur Koyuncu, Brahim Hnich, Armagan Tarim (University College Cork).
• GoBlueOval. Kevin Lochner, Yagil Engel, and Rahul Suri (Ford Motor Company and University of Michigan).
• LearnAgentsSCM 2005: A Multi-Agent System for the TAC Supply Chain Management. José Alberto R. P. Sardinha, Patrick M. Paranhos, Pedro M. Cunha, Marco S. Molinaro, Helena Milidiú (Pontificía Universidade Católica do Rio de Janeiro).
• MerTACor. Ioannis Kontogounis, Kyriakos C. Chatzidimitriou, Andreas L. Symeonidis, Pericles A. Mitkas (Aristotle University Thessaloniki).

TAC-05 Travel Agent Descriptions

• LearnAgents 2005: A Multi-Agent System for the TAC Classic. José Alberto R. P. Sardinha, Patrick M. Paranhos, Pedro M. Cunha, Marco S. Molinaro, Helena Milidiú (Pontificía Universidade Católica do Rio de Janeiro).
• MerTACor. Toulis Panagiotis, Dionisis Kehagias, Pericles A. Mitkas (Aristotle University Thessaloniki).
• Walverine 2005. (University of Michigan).

TAC-04 SCM Agent Descriptions

• Botticelli. Amy Greenwald, Lucia Ballard, Bryan Guillemette, Victor Naroditskiy, Haruyoshi Sakai, Michael Tschantz (Brown University).
• Deep Maize. Joshua Estelle, Christopher Kiekintveld, Jason Powell, Jason Roselander, Yevgeniy Vorobeychik, and Michael Wellman (University of Michigan).
• TacTex. David Pardoe and Peter Stone (University of Texas).

TAC-04 Travel Agent Descriptions

• LearnAgents: A Multi-Agent System for the TAC Classic. José Alberto R. P. Sardinha, Ruy L. Milidiú, Carlos J. P. Lucena, Patrick M. Paranhos, Pedro Cunha (Pontificía Universidade Católica do Rio de Janeiro).
• Walverine 2004. [poster] (University of Michigan).

TAC-03 SCM Agent Descriptions

• Deep Maize. Josh Estelle, Chris Kiekintveld, Anju Khetan, Thede Loder, Kevin O’Malley, Matthew Rudary, Satinder Singh, Vishal Soni, Yevgeniy Vorobeychik, and Michael Wellman (University of Michigan).
• RedAgent. Félix-Olivier Duguay, Philipp Keller, and Matthew Wahab (McGill University).
• TacTex: An Adaptive Supply Chain Bidding Agent. David Pardoe, Ronggang Yu, Ali Niaz, and Peter Stone (University of Texas at Austin).
• UMBCTAC. R. Pan, L. Ding, K. Liu, Y. Peng, T. Finin, and A. Joshi (University of Maryland, Baltimore County).

TAC-03 Travel Agent Descriptions

• TeamHarmony. Masaki Onodera, Hidenori Kawamura, Masahito Yamamoto, Koichi Kurumatani, and Azuma Ohuchi (Hokkaido University).
• Walverine 2003. (University of Michigan).

TAC-02 Agent Descriptions

• ATTac: A learning, autonomous bidding agent. Peter Stone, with Robert E. Schapire, János A. Csirik, Michael L. Littman, and David McAllester (research conducted at AT&T Labs).
• cuhk. Chi-Lun Chau (Chinese University of Hong Kong).
• kavayaH. Ravi Prakash Putchala, Vincent Naveen Morris, Rajesh Khazhanchi, Laxminarayanan Raman, and Shashank Shekhar (Oracle India).
• livingagents strategy description. Clemens Fritschi and Klaus Dorer (Living Systems AG).
• PackaTAC. Peter Wurman, Gangshu Cai, Leif Johnson, Sirish Somanchi, and Ashish Sureka (North Carolina State University).
• PainInNEC: A genetic algorithm based approach. (Pennsylvania State University, NEC Research, Rutgers).
• RoxyBot: A retrospective. Maureen Hurtgen, Nicole Dombeck, and Amy Greenwald (Brown University).
• SICS Agent. Peter Hultman (Swedish Institute of Computer Science).
• SouthamptonTAC-02. Minghua He and Nick Jennings (University of Southampton).
• tniTac. George Stan (PUB Bucharest).
• TOMAhack: POMDP approach. Darius Braziunas, Georgios Chalkiadakis, Nathanael Hyafil, Pascal Poupart, David Ross, Craig Boutilier (University of Toronto).
• UMBCTAC Strategy. Li Ding, Yongmei Shi, Zhongli Ding, and Rong Pan (University of Maryland, Baltimore County).
• Walverine. Michael Wellman, Shih-Fen Cheng, Evan Leung, Kevin Lochner, Kevin O'Malley, Daniel Reeves, and Julian Schvartzman (University of Michigan).
• White Bear: Trading competitively in an electronic marketplace. Ioannis A. Vetsikas (Cornell University).
• Zepp: An adaptive multi-agent system approach. Ovidiu Trascu (Politehnica University Bucharest).

TAC-01 Agent Descriptions

• arc2k design. Chi-Lun Chau (Chinese University of Hong Kong).
• ATTac-2001: A machine learning, data-driven approach. Peter Stone, with Robert E. Schapire, János A. Csirik, Michael L. Littman, and David McAllester (AT&T Labs Research).
• Caisersose (and the other Essex teams). Maria Fasli, Ioannis Korres, George Rallidis, Alexandros Zakas (University of Essex).
• dummy_buyer0: Parametrized dummy agent. Daniel Reeves and the TAC Team (University of Michigan).
• jboadw: Reinforcement learning applied to a multiagent system. John Boadway and Doina Precup (McGill University).
• livingagents strategy description. Clemens Fritschi and Klaus Dorer (Living Systems AG).
• PainInNEC Tracy Mullen (NEC Research), Sun Park (Rutgers University), Eric Glover (NEC Research), and Dave Pennock (NEC Research).
• Polimi_bot: A heuristic based agent. Alessandro Strada and Pier Luca Lanzi (Politechnico di Milano).
• Retsina intelligent trading agent. Katia Sycara, Yuriy Nevmyvaka, Pu Huang, and Gregg Economou (Carnegie Mellon University).
• RoxyBot: An approximately optimal TAC agent. Amy Greenwald (Brown University) with Justin Boyan (ITA Software).
• SouthamptonTAC. Minghua He, Nick Jennings, and Michael Luck (University of Southampton).
• UMBCTAC Youyong Zou and Shanshan Liu (University of Maryland, Baltimore County).
• TACSMAN. Ryan Porter, Eugene Nudelman, Haowen Chen, Yoav Shoham, and Rob Powers (Stanford University).
• White Bear: An adaptive agent. Ioannis A. Vetsikas (Cornell University).