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» Learning Models of Intelligent Agents
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112
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IAT
2003
IEEE
15 years 6 months ago
Designing Flexible Negotiation Agent with Relaxed Decision Rules
This article presents a model for designing negotiation agent with two distinguishing features: 1) a marketdriven strategy and 2) a set of relaxed decision rules. Market-driven ag...
Kwang Mong Sim, Shi Yu Wang
117
Voted
FLAIRS
2007
15 years 3 months ago
Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Amal Zouaq, Roger Nkambou, Claude Frasson
AAAI
2010
15 years 2 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
99
Voted
ECML
2007
Springer
15 years 7 months ago
Imitation Learning Using Graphical Models
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Deepak Verma, Rajesh P. N. Rao
109
Voted
AAAI
2006
15 years 2 months ago
Probabilistic Goal Recognition in Interactive Narrative Environments
Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamicall...
Bradford W. Mott, Sunyoung Lee, James C. Lester