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CLEIEJ
2007
192views more  CLEIEJ 2007»
13 years 7 months ago
ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)
This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (C...
Rosa M. Viccari, Demetrio A. Ovalle, Jovani A. Jim...
IJCAI
2001
13 years 9 months ago
Executing Reactive, Model-based Programs through Graph-based Temporal Planning
In the future, webs of unmanned air and space vehicles will act together to robustly perform elaborate missions in uncertain environments. We coordinate these systems by introduci...
Phil Kim, Brian C. Williams, Mark Abramson
FLAIRS
2001
13 years 9 months ago
Autonomy for SOHO Ground Operations
/Background The SOLAR and HELIOSPHERIC OBSERVATORY (SOHO) project [SOHO Web Page] is being carried out by the European Space Agency (ESA) and the US National Aeronautics and Space ...
Walt Truszkowski, Nick Netreba, Don Ginn, Sanda Ma...
AEI
2005
102views more  AEI 2005»
13 years 7 months ago
Manufacturing planning and predictive process model integration using software agents
Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, refer...
Shaw C. Feng, Keith A. Stouffer, Kevin K. Jurrens
AGENTS
2001
Springer
14 years 1 days ago
Tears and fears: modeling emotions and emotional behaviors in synthetic agents
Emotions play a critical role in creating engaging and believable characters to populate virtual worlds. Our goal is to create general computational models to support characters t...
Jonathan Gratch, Stacy Marsella