Co-evolutionary Auction Mechanism Design: A Preliminary Report
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Exploring bidding strategies for market-based scheduling
Proceedings of the 4th ACM conference on Electronic commerce
A Manifesto for Agent Technology: Towards Next Generation Computing
Autonomous Agents and Multi-Agent Systems
Exploring bidding strategies for market-based scheduling
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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
The Knowledge Engineering Review
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
Grid resource management based on economic mechanisms
The Journal of Supercomputing
Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework
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Strategic bidding in continuous double auctions
Artificial Intelligence
Technology diffusion: analysing the diffusion of agent technologies
Autonomous Agents and Multi-Agent Systems
Learning bidding strategies with autonomous agents in environments with unstable equilibrium
Decision Support Systems
Modeling Implicit Collusion Using Coevolution
Operations Research
IAMwildCAT: The Winning Strategy for the TAC Market Design Competition
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Exploring bidding strategies for market-based scheduling
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
What Format for Multi-Unit Multiple-Bid Auctions?
Computational Economics
The impact of information sharing mechanism to geographic market formation
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
A novel method for strategy acquisition and its application to a double-auction market game
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Evolutionary mechanism design: a review
Autonomous Agents and Multi-Agent Systems
Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines
Knowledge-Based Systems
Addressing the Exposure Problem of Bidding Agents Using Flexibly Priced Options
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An algorithmic game theory study of wholesale electricity markets based on central auction
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
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
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
Environmental Modelling & Software
Duopoly electricity markets with accurate and inaccurate market goals
Winter Simulation Conference
An evolutionary game-theoretic comparison of two double-auction market designs
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Agent-Based modelling and simulation: examples from competitive market and group dynamics
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
AstonCAT-plus: an efficient specialist for the TAC market design tournament
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources
Computational Economics
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This study reports experimental market power and efficiency outcomes for a computational wholesale electricity market operating in the short run under systematically varied concentration and capacity conditions. The pricing of electricity is determined by means of a clearinghouse double auction with discriminatory midpoint pricing. Buyers and sellers use a modified Roth-Erev individual reinforcement learning algorithm (1995) to determine their price and quantity offers in each auction round. It is shown that high market efficiency is generally attained and that market microstructure is strongly predictive for the relative market power of buyers and sellers, independently of the values set for the reinforcement learning parameters. Results are briefly compared against results from an earlier study in which buyers and sellers instead engage in social mimicry learning via genetic algorithms