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AGENTS
1999
Springer
9 years 8 months ago
A Methodology for Agent-Oriented Analysis and Design
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...
AGENTS
1999
Springer
9 years 8 months ago
General Principles of Learning-Based Multi-Agent Systems
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...
David Wolpert, Kevin R. Wheeler, Kagan Tumer
AGENTS
1999
Springer
9 years 8 months ago
Personal Navigating Agents
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. ...
AGENTS
1999
Springer
9 years 8 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
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...
Peter Stone, Manuela M. Veloso
AGENTS
1999
Springer
9 years 8 months ago
Agent Aided Aircraft Maintenance
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...
AGENTS
1999
Springer
9 years 8 months ago
An Adaptive Interactive Agent for Route Advice
Seth Rogers, Claude-Nicolas Fiechter, Pat Langley
AGENTS
1999
Springer
9 years 8 months ago
Adaptive Web Site Agents
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...
Michael J. Pazzani, Daniel Billsus
AGENTS
1999
Springer
9 years 8 months ago
An Adaptive Agent Bidding Strategy Based on Stochastic Modeling
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...
AGENTS
1999
Springer
9 years 8 months ago
A Hierarchical Approach to Wrapper Induction
Ion Muslea, Steven Minton, Craig A. Knoblock
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