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ATAL
2006
Springer
13 years 9 months ago
Using multiagent teams to improve the training of incident commanders
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
AI
2000
Springer
13 years 5 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
AAAI
2006
13 years 6 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin
IJAIT
2000
142views more  IJAIT 2000»
13 years 5 months ago
Adequacy of Limited Testing for Knowledge Based Systems
Knowledge-based engineering and computational intelligence are expected to become core technologies in the design and manufacturing for the next generation of space exploration mi...
Tim Menzies, Bojan Cukic
IROS
2007
IEEE
143views Robotics» more  IROS 2007»
13 years 11 months ago
Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams
— Any system that has the capability to diagnose and recover from faults is considered to be a fault-tolerant system. Additionally, the quality of the incorporated fault-toleranc...
Balajee Kannan, Lynne E. Parker