Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Technical Note: \cal Q-Learning
Machine Learning
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Genetic programming for the acquisition of double auction market strategies
Advances in genetic programming
The economic approach to artificial intelligence
ACM Computing Surveys (CSUR)
Economic principles of multi-agent systems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
ALIFE Proceedings of the sixth international conference on Artificial life
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Flexible double auctions for electionic commerce: theory and implementation
Decision Support Systems - Special issue on economics of electronic commerce
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Algorithms, games, and the internet
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
High-performance bidding agents for the continuous double auction
Proceedings of the 3rd ACM conference on Electronic Commerce
Machine Dreams: Economics Becomes a Cyborg Science
Machine Dreams: Economics Becomes a Cyborg Science
A strategy-proof multiunit double auction mechanism
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Strategic sequential bidding in auctions using dynamic programming
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
Autonomous Bidding Agents in the Trading Agent Competition
IEEE Internet Computing
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Market Performance of Adaptive Trading Agents in Synchronous Double Auctions
PRIMA 2001 Proceedings of the 4th Pacific Rim International Workshop on Multi-Agents, Intelligent Agents: Specification, Modeling, and Applications
Price Formation in Double Auctions
E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand
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
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Applying evolutionary game theory to auction mechanism design
Proceedings of the 4th ACM conference on Electronic commerce
Why Information Security is Hard-An Economic Perspective
ACSAC '01 Proceedings of the 17th Annual Computer Security Applications Conference
Solution concepts in coevolutionary algorithms
Solution concepts in coevolutionary algorithms
Optimal design of English auctions with discrete bid levels
Proceedings of the 6th ACM conference on Electronic commerce
Managing Iterative Software Development Projects
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The Wisdom of Crowds
Computational-Mechanism Design: A Call to Arms
IEEE Intelligent Systems
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
Chaotic Dynamics Macintosh Disk: Theory and Applications to Economics
Chaotic Dynamics Macintosh Disk: Theory and Applications to Economics
Economic mechanism design for computerized agents
WOEC'95 Proceedings of the 1st conference on USENIX Workshop on Electronic Commerce - Volume 1
Empirical game-theoretic analysis of the TAC 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
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Exploring bidding strategies for market-based scheduling
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
A game-theoretic memory mechanism for coevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
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
Complexity of mechanism design
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
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
IEEE Transactions on Evolutionary Computation
Market-based control of computational systems: introduction to the special issue
Autonomous Agents and Multi-Agent Systems
A game-theoretic analysis of market selection strategies for competing double auction marketplaces
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Genetic algorithm aided optimization of hierarchical multiagent system organization
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Achieving reliability in master-worker computing via evolutionary dynamics
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
The global financial markets: an ultra-large-scale systems perspective
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
Autonomous Agents and Multi-Agent Systems
Socio-economic vision graph generation and handover in distributed smart camera networks
ACM Transactions on Sensor Networks (TOSN)
Supporting the design process with hypergraph genetic operators
Advanced Engineering Informatics
Efficient storage and retrieval in agent protocol libraries using subsumption hierarchies
Multiagent and Grid Systems
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The advent of large-scale distributed systems poses unique engineering challenges. In open systems such as the internet it is not possible to prescribe the behaviour of all of the components of the system in advance. Rather, we attempt to design infrastructure, such as network protocols, in such a way that the overall system is robust despite the fact that numerous arbitrary, non-certified, third-party components can connect to our system. Economists have long understood this issue, since it is analogous to the design of the rules governing auctions and other marketplaces, in which we attempt to achieve socially-desirable outcomes despite the impossibility of prescribing the exact behaviour of the market participants, who may attempt to subvert the market for their own personal gain. This field is known as "mechanism design": the science of designing rules of a game to achieve a specific outcome, even though each participant may be self-interested. Although it originated in economics, mechanism design has become an important foundation of multi-agent systems (MAS) research. In a traditional mechanism design problem, analytical methods are used to prove that agents' game-theoretically optimal strategies lead to socially desirable outcomes. In many scenarios, traditional mechanism design and auction theory yield clear-cut results; however, there are many situations in which the underlying assumptions of the theory are violated due to the messiness of the real-world. In this paper we review alternative approaches to mechanism design which treat it as an engineering problem and bring to bear engineering design principles, viz.: iterative step-wise refinement of solutions, and satisficing instead of optimization in the face of intractable complexity. We categorize these approaches under the banner of evolutionary mechanism design.