Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
On social laws for artificial agent societies: off-line design
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
Mechanism design for automated negotiation, and its application to task oriented domains
Artificial Intelligence
Online learning about other agents in a dynamic multiagent system
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Price-war dynamics in a free-market economy of software agents
ALIFE Proceedings of the sixth international conference on Artificial life
Conjectural Equilibrium in Multiagent Learning
Machine Learning
The Dynamics of the UMDL Service Market Society
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
Dynamics of an Information-Filtering Economy
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
Emergent Properties of a Market-based Digital Library with Strategic Agents
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Economic mechanism design for computerized agents
WOEC'95 Proceedings of the 1st conference on USENIX Workshop on Electronic Commerce - Volume 1
On partially controlled multi-agent systems
Journal of Artificial Intelligence Research
A dynamic mechanism for time-constrained trading
Proceedings of the fifth international conference on Autonomous agents
Coordination knowledge engineering
The Knowledge Engineering Review
Distributed and Reactive Query Planning in R-MAGIC: An Agent-Based Multimedia Retrieval System
IEEE Transactions on Knowledge and Data Engineering
A Classification Structure for Automated Negotiations
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Use of Markov chains to design an agent bidding strategy for continuous double auctions
Journal of Artificial Intelligence Research
Objective versus subjective coordination in the engineering of agent systems
Intelligent information agents
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The University of Michigan Digital Library (UMDL) is designed as an open system that allows third parties to build and integrate their own profit-seeking agents into the marketplace of information goods and services. The profit-seeking behavior of agents, however, risks inefficient allocation of goods and services, as agents take strategic stances that might backfire. While it would be good if we could impose mechanisms to remove incentives for strategic reasoning, this is not possible in the UMDL. Therefore, our approach has instead been to study whether encouraging the other extreme—making strategic reasoning ubiquitous—provides an answer.Toward this end, we have designed a strategy (called the p-strategy) that uses a stochastic model of the market to find the best offer price. We have then examined the collective behavior of p-strategy agents in the UMDL auction. Our experiments show that strategic thinking is not always beneficial and that the advantage of being strategic decreases with the arrival of equally strategic agents. Furthermore, a simpler strategy can be as effective when enough other agents use the p-strategy. Consequently, we expect the UMDL is likely to evolve to a point where some agents use simpler strategies and some use the p-strategy.