Genetic programming for the acquisition of double auction market strategies
Advances in genetic programming
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Competitive scenarios for heterogeneous trading agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Fuzzy Modelling of Case-Based Reasoning and Decision
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Making a Case for Multi-Agent Systems
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
The Design of the CADE-13 ATP System Competition
CADE-13 Proceedings of the 13th International Conference on Automated Deduction: Automated Deduction
Determining Successful Negotiation Strategies: An Evolutionary Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Towards a test‐bed for trading agents in electronic auction markets
AI Communications
Journal of Artificial Intelligence Research
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
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Auction-based electronic commerce is an increasingly interesting domain for AI researchers. In this paper we present an attempt towards the construction of trading agents capable of competing in multiagent auction markets by introducing both a formal and a more pragmatical approach to the design of bidding strategies for buyer agents in auction-based tournaments. Our formal view relies on possibilistic-based decision theory as the means of handling possibilistic uncertainty on the consequences of actions (bids) due to the lack of knowledge about the other agents' behaviour. For practical reasons we propose a two-fold method for decision making that does not require the evaluation of the whole set of alternative actions. This approach utilizes global (market-centered) information in a first step to come up with an initial set of potential bids. This set is subsequently refined in a second step by means of the possibilisitic decision model using individual (rival agent centered) information induced from a memory of cases composing the history of tournaments.