An introduction to genetic algorithms
An introduction to genetic algorithms
Simulation
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
Agent-based computational economics: modeling economies as complex adaptive systems
Information Sciences—Informatics and Computer Science: An International Journal
Controlling a supply chain agent using value-based decomposition
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Empirical mechanism design: methods, with application to a supply-chain scenario
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Generating trading agent strategies: analytic and empirical methods for infinite and large games
Generating trading agent strategies: analytic and empirical methods for infinite and large games
A novel method for automatic strategy acquisition in N-player non-zero-sum games
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Designing a successful trading agent for supply chain management
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
TacTex-05: a champion supply chain management agent
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Approximate strategic reasoning through hierarchical reduction of large symmetric games
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
The supply chain trading agent competition
Electronic Commerce Research and Applications
A robust agent design for dynamic SCM environments
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Multiagent learning is not the answer. It is the question
Artificial Intelligence
Forecasting market prices in a supply chain game
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Searching for approximate equilibria in empirical games
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Characterizing effective auction mechanisms: insights from the 2007 TAC market design competition
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Forecasting market prices in a supply chain game
Electronic Commerce Research and Applications
Flexible decision control in an autonomous trading agent
Electronic Commerce Research and Applications
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Generalization risk minimization in empirical game models
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Methods for empirical game-theoretic analysis
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Efficient statistical methods for evaluating trading agent performance
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Thesis summary: empirical game-theoretic methods for strategy design and analysis in complex games
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Strategy and mechanism lessons from the first ad auctions trading agent competition
Proceedings of the 11th ACM conference on Electronic commerce
What the 2007 TAC Market Design Game tells us about effective auction mechanisms
Autonomous Agents and Multi-Agent Systems
Evolutionary mechanism design: a review
Autonomous Agents and Multi-Agent Systems
Auctions, evolution, and multi-agent learning
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Strategic analysis with simulation-based games
Winter Simulation Conference
Agent-based analysis of asset pricing under ambiguous information
Proceedings of the 2011 Workshop on Agent-Directed Simulation
Using Gaussian processes to optimise concession in complex negotiations against unknown opponents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Scaling simulation-based game analysis through deviation-preserving reduction
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Agent-based competitive simulation: exploring future retail energy markets
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes
Information Systems Research
Optimizing complex automated negotiation using sparse pseudo-input gaussian processes
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
An efficient automated negotiation strategy for complex environments
Engineering Applications of Artificial Intelligence
Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Evaluating the applicability of peer-designed agents for mechanism evaluation
Web Intelligence and Agent Systems
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The TAC Supply Chain Management (TAC/SCM) game presents a challenging dynamic environment for autonomous decision-making in a salient application domain. Strategic interactions complicate the analysis of games such as TAC/SCM. since the effectiveness of a given strategy depends on the strategies played by other agents on the supply chain. The TAC tournament generates results from one particular path of combinations, and success in the tournament is rightly regarded as evidence for agent quality. Such results along with post-competition controlled experiments provide useful evaluations of novel techniques employed in the game. We argue that a broader game-theoretic analysis framework can provide a firmer foundation for choice of experimental contexts. Exploiting a repository of agents from the 2005 and 2006 TAC/SCM tournaments, we demonstrate an empirical game-theoretic methodology based on extensive simulation and careful measurement. Our analysis of agents from TAC-05 reveals interesting interactions not seen in the tournament. Extending the analysis to TAC-06 enables us to measure progress from year-to-year, and generates a candidate empirical equilibrium among the best known strategies. We use this equilibrium as a stable background population for comparing relative performance of the 2006 agents, yielding insights complementing the tournament results.