Cognitive modeling and intelligent tutoring
Artificial Intelligence - Special issue on artificial intelligence and learning environments
Unified theories of cognition
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence
ET-SOAR: toward an ITS for theory-based representations
ET-SOAR: toward an ITS for theory-based representations
Situated plan attribution for intelligent tutoring
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Agents that learn to explain themselves
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Artificial Intelligence
SOAR/IFOR: intelligent agents for air simulation and control
WSC '95 Proceedings of the 27th conference on Winter simulation
Integrating pedagogical capabilities in a virtual environment agent
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Markov tracking for agent coordination
AGENTS '98 Proceedings of the second international conference on Autonomous agents
The intelligent classroom: providing competent assistance
Proceedings of the fifth international conference on Autonomous agents
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Sensors + Agents + Networks = Aware Agents
IEEE Internet Computing
A Communication Architecture for Multi-agent Learning Systems
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight
Utility-based plan recognition: an extended abstract
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
OMBO: An opponent modeling approach
AI Communications
An Efficient Behavior Classifier based on Distributions of Relevant Events
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Journal of Artificial Intelligence Research
Agent architectures for flexible, practical teamwork
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Tracking dynamic team activity
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A plan classifier based on Chi-square distribution tests
Intelligent Data Analysis
Activity Recognition for Dynamic Multi-Agent Teams
ACM Transactions on Intelligent Systems and Technology (TIST)
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Agent tracking involves monitoring the observable actions of other agents as well as inferring their unobserved actions, plans, goals and behaviors. In a dynamic, real-time environment, an intelligent agent faces the challenge of tracking other agents' flexible mix of goal-driven and reactive behaviors, and doing so in real-time, despite ambiguities. This paper presents RESC (REal-time Situated Commitments), an approach that enables an intelligent agent to meet this challenge. RESC's situatedness derives from its constant uninterrupted attention to the current world situation -- it always tracks other agents' on-going actions in the context of this situation. Despite ambiguities, RESC quickly commits to a single interpretation of the on-going actions (without an extensive examination of the alternatives), and uses that in service of interpretation of future actions. However, should its commitments lead to inconsistencies in tracking, it uses single-state backtracking to undo some of the commitments and repair the inconsistencies. Together, RESC's situatedness, immediate commitment, and single-state backtracking conspire in providing RESC its real-time character. RESC is implemented in the context of intelligent pilot agents participating in a real-world synthetic air-combat environment. Experimental results illustrating RESC's effectiveness are presented.