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AIIDE
2006
15 years 8 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
E4MAS
2005
Springer
16 years 7 days ago
Environments for Situated Multi-agent Systems: Beyond Infrastructure
There is a lot of confusion on what the environment of a multi-agent system (MAS) comprises. Sometimes, researchers refer to the environment as the logical entity of a MAS in which...
Danny Weyns, Giuseppe Vizzari, Tom Holvoet
VRST
2005
ACM
16 years 8 days ago
An integrated system: virtual reality, haptics and modern sensing technique (VHS) for post-stroke rehabilitation
In this paper, we introduce an interdisciplinary project, involving researchers from the fields of Physical Therapy, Computer Science, Psychology, Communication and Cell Neurobiol...
Shih-Ching Yeh, Albert A. Rizzo, Weirong Zhu, Jill...
DAGSTUHL
2007
15 years 8 months ago
End-User Development Techniques for Enterprise Resource Planning Software Systems
Abstract. The intent of this position paper is to present the focus of interest of our end-user development (EUD) related research at SAP Research CEC Darmstadt, enabling other par...
Michael Spahn, Stefan Scheidl, Todor Stoitsev
AAAI
2012
13 years 9 months ago
Reformulating Temporal Action Logics in Answer Set Programming
Temporal Action Logics (TAL) is a class of temporal logics for reasoning about actions. We present a reformulation of TAL in Answer Set Programming (ASP), and discuss some synergi...
Joohyung Lee, Ravi Palla