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» Using Learning in a Control Agent
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AAAI
2007
15 years 4 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
ISW
2004
Springer
15 years 7 months ago
Model-Checking Access Control Policies
We present a model of access control which provides fine-grained data-dependent control, can express permissions about permissions, can express delegation, and can describe syste...
Dimitar P. Guelev, Mark Ryan, Pierre-Yves Schobben...
CAAN
2007
Springer
15 years 6 months ago
Preemptive Scheduling on Selfish Machines
We consider the problem of scheduling on parallel uniformly related machines, where preemptions are allowed and the machines are controlled by selfish agents. Our goal is to minimi...
Leah Epstein, Rob van Stee
AIIDE
2007
15 years 4 months ago
SORTS: A Human-Level Approach to Real-Time Strategy AI
We developed knowledge-rich agents to play real-time strategy games by interfacing the ORTS game engine to the Soar cognitive architecture. The middleware we developed supports gr...
Samuel Wintermute, Joseph Xu, John E. Laird
AAAI
2000
15 years 3 months ago
Execution of Temporal Plans with Uncertainty
Simple Temporal Networks (STNs) have proved useful in applications that involve metric time. However, many applications involve events whose timing is uncertain in the sense that ...
Paul H. Morris, Nicola Muscettola