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» Learning Models of Macrobehavior in Complex Adaptive Systems
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CIIA
2009
15 years 1 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
CMOT
1999
143views more  CMOT 1999»
14 years 11 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 3 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
COOPIS
2002
IEEE
15 years 4 months ago
Runtime Performance Modeling and Measurement of Adaptive Distributed Object Applications
Distributed applications that can adapt at runtime to changing quality of service (QoS) require a model of the expected QoS and of the possible application adaptations. QoS models ...
John A. Zinky, Joseph P. Loyall, Richard Shapiro
CE
2008
92views more  CE 2008»
14 years 12 months ago
Adaptable learning assistant for item bank management
: We present PKIP, an adaptable learning assistant tool for managing question items in item banks. PKIP is not only able to automatically assist educational users to categorize the...
Atorn Nuntiyagul, Kanlaya Naruedomkul, Nick Cercon...