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» Agent Modeling in Expert Critiquing Systems
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AI
2007
Springer
13 years 5 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
LSO
2004
Springer
13 years 10 months ago
Embedding Experiences in Micro-didactical Arrangements
Experience-based Information Systems (EbIS) enable organizations to capture, store and reuse knowledge and experiences for continuous competence development. However, there are sev...
Eric Ras, Stephan Weibelzahl
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
13 years 10 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
WSC
2008
13 years 7 months ago
Introducing age-based parameters into simulations of crowd dymanics
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....
PAMI
2007
186views more  PAMI 2007»
13 years 4 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little