Dynamic pricing by software agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - electronic commerce
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
Mass programmed agents for simulating human strategies in large scale systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Programming agents as a means of capturing self-strategy
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Firefly-Inspired Synchronization for Improved Dynamic Pricing in Online Markets
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Collaborative multi agent physical search with Probabilistic knowledge
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Computer
Less is more: restructuring decisions to improve agent search
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Modeling agents based on aspiration adaptation theory
Autonomous Agents and Multi-Agent Systems
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In this paper we empirically investigate the feasibility of using peer-designed agents (PDAs) instead of people for the purpose of mechanism evaluation. This latter approach has been increasingly advocated in agent research in recent years, mainly due to its many benefits in terms of time and cost. Our experiments compare the behavior of 31 PDAs and 150 people in a legacy eCommerce-based price-exploration setting, using different price-setting mechanisms and different performance measures. The results show a varying level of similarity between the aggregate behavior obtained when using people and when using PDAs--in some settings similar results were obtained, in others the use of PDAs rather than people yields substantial differences. This suggests that the ability to generalize results from one successful implementation of PDA-based systems to another, regarding the use of PDAs as a substitute to people in systems evaluation, is quite limited. The decision to prefer PDAs for mechanism evaluation is therefore setting dependent and the applicability of the approach must be re-evaluated whenever switching to a new setting or using a different measure. Furthermore, we show that even in settings where the aggregate behavior is found to be similar, the individual strategies used by agents in each group highly vary.