Experimental economics and experimental computer science: a survey
Proceedings of the 2007 workshop on Experimental computer science
Experimental economics and experimental computer science: a survey
ecs'07 Experimental computer science on Experimental computer science
Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Can automated agents proficiently negotiate with humans?
Communications of the ACM - Amir Pnueli: Ahead of His Time
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Does cognitive capacity matter when learning using genetic programming in double auction markets?
MABS'09 Proceedings of the 10th international conference on Multi-agent-based simulation
The effect of expression of anger and happiness in computer agents on negotiations with humans
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Human-agent auction interactions: adaptive-aggressive agents dominate
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
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This paper studies how software agents influence the market behavior of human traders. Software agents with a passive arbitrage-seeking strategy are introduced in a double auction market experiment with human subjects in the laboratory. As a treatment variable, the influence of information on the existence of software agents is investigated. We found that common knowledge about the presence of software agents triggers more efficient market prices when the programmed strategy was employed, whereas an effect of the information condition on behavioral variables could not be observed. When controlling for information on software agents' participation, the introduction of software agents results in lower market efficiency