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ATAL
2010
Springer
15 years 7 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
DAGSTUHL
2007
15 years 8 months ago
Integrated Human Behavior Modeling
In order to prevent emergencies or critical situations where humans are the origin, a timely provision of information thus obtained for the coordinating services and the on-site st...
Michael Berger, Dagmar Beyer, Stephan Prueckner
WSC
2004
15 years 7 months ago
Implementing the High Level Architecture in the Virtual Test Bed
The Virtual Test Bed (VTB) is a prototype of a virtual engineering environment to study operations of current and future space vehicles, spaceports, and ranges. The HighLevel Arch...
José A. Sepúlveda, Luis C. Rabelo, J...
ATAL
2008
Springer
15 years 8 months ago
Using multi-agent potential fields in real-time strategy games
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
Johan Hagelbäck, Stefan J. Johansson
ECSQARU
1999
Springer
15 years 10 months ago
Anchoring Symbols to Vision Data by Fuzzy Logic
Intelligent agents embedded in physical environments need ity to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols ref...
Silvia Coradeschi, Alessandro Saffiotti