Price and niche wars in a free-market economy of software agents
Artificial Life
A futures market in computer time
Communications of the ACM
Intelligent Scheduling Systems
Intelligent Scheduling Systems
Combinatorial Auctions: A Survey
INFORMS Journal on Computing
Bidding under uncertainty: theory and experiments
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions
Journal of Artificial Intelligence Research
Price prediction in a trading agent competition
Journal of Artificial Intelligence Research
IEEE Transactions on Evolutionary Computation
Using tabu best-response search to find pure strategy nash equilibria in normal form games
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Evolutionary optimization of ZIP60: a controlled explosion in hyperspace
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Learning inventory management strategies for commodity supply chains with customer satisfaction
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
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
A comparison between mechanisms for sequential compute resource auctions
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Learning payoff functions in infinite games
Machine Learning
Resource trading using cognitive agents: A hybrid perspective and its simulation
Future Generation Computer Systems
Application of complex adaptive systems to pricing of reproducible information goods
Decision Support Systems
Equilibria in Bundle-Reducing Strategies for Combinatorial Auctions
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Searching for approximate equilibria in empirical games
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
An interactive platform for auction-based allocation of loads in transportation logistics
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Learning bidding strategies with autonomous agents in environments with unstable equilibrium
Decision Support Systems
An options-based solution to the sequential auction problem
Artificial Intelligence
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
Learning payoff functions in infinite games
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Co-evolution of cooperative strategies under egoism
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Hi-index | 0.00 |
A market-based scheduling mechanism allocates resources indexed by time to alternative uses based on the bids of participating agents. Agents are typically interested in multiple time slots of the schedulable resource, with value determined by the earliest deadline by which they can complete their corresponding tasks. Despite the strong complementarities among slots induced by such preferences, it is often infeasible to deploy a mechanism that coordinates allocation across all time slots. We explore the case of separate, simultaneous markets for individual time slots, and the strategic problem it poses for bidding agents. Investigation of the straightforward bidding policy and its variants indicates that the efficacy of particular strategies depends critically on preferences and strategies of other agents, and that the strategy space is far too complex to yield to general game-theoretic analysis. For particular environments, however, it is often possible to derive constrained equilibria through evolutionary search methods.