This paper presents a methodology for agent-oriented analysis and design. The methodology is general, in that it is applicable to a wide range of multi-agent systems, and comprehe...
Michael Wooldridge, Nicholas R. Jennings, David Ki...
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
The World Wide Web provides a huge distributed web database. However, information in the web database is free formatted and unorganized. Traditional keyword-based retrieval approa...
H. L. Wang, W. K. Shih, C. N. Hsu, Y. S. Chen, Y. ...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Aircraft maintenance is performed by mechanics who are required, by regulation, to consult expert engineers for repair instructions and approval. In addition to their own experien...
Onn Shehory, Katia P. Sycara, Gita Sukthankar, Vic...
We discuss the design of a class of agents that we call adaptive web site agents. The goal of such an agent is to help a user find information at a particular web site, adapting i...
For a dynamic, evolving multiagent auction, we have developed an adaptive agent bidding strategy (called the p-strategy) based on stochastic modeling. The p-strategy takes into ac...
Sunju Park, Edmund H. Durfee, William P. Birmingha...