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» Modelling Adaptive Systems in ForSyDe
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AIPS
2006
15 years 7 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
143
Voted
WICSA
2001
15 years 7 months ago
Statechart Simulator for Modeling Architectural Dynamics
Software development is a constant endeavor to optimize qualities like performance and robustness while ensuring functional correctness. Architecture Description Languages (ADLs) ...
Alexander Egyed, David S. Wile
OTM
2005
Springer
15 years 11 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
263
Voted
IGPL
2011
15 years 1 months ago
J-MADeM, a market-based model for complex decision problems
This paper presents J-MADeM, a multi-modal decision making mechanism to provide agents in a Multi-Agent Systems (MAS) with a market-based model for complex decision problems. J-MA...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
193
Voted
IEEEVAST
2010
15 years 29 days ago
Geo-historical context support for information foraging and sensemaking: Conceptual model, implementation, and assessment
Information foraging and sensemaking with heterogeneous information are context-dependent activities. Thus visual analytics tools to support these activities must incorporate cont...
Brian M. Tomaszewski, Alan M. MacEachren