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ECAL
2001
Springer
15 years 5 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
47
Voted
ISCAS
2006
IEEE
70views Hardware» more  ISCAS 2006»
15 years 6 months ago
Power aware learning for class AB analogue VLSI neural network
—Recent research into artificial neural networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumpt...
S. S. Modi, P. R. Wilson, A. D. Brown
104
Voted
WMTE
2005
IEEE
15 years 6 months ago
Integrating M-technology into Web-based ESL Vocabulary Learning for Working Adult Learners
The paper reports on a small pilot study that explores the role of mobile technology (m-technology) in English as second language (ESL) vocabulary learning for working adult learn...
Yanjie Song, Robert Fox
90
Voted
AOSE
2005
Springer
15 years 6 months ago
Aspects in Agent-Oriented Software Engineering: Lessons Learned
Several concerns in the development of multi-agent systems (MASs) cannot be represented in a modular fashion. In general, they inherently affect several system modules and cannot b...
Alessandro F. Garcia, Uirá Kulesza, Cl&aacu...
90
Voted
RE
2004
Springer
15 years 6 months ago
The Conundrum of Categorising Requirements: Managing Requirements for Learning on the Move
This paper reports on our experience of eliciting and managing requirements on a large European-based multinational project, whose purpose is to create a system to support learnin...
Debra Trusso Haley, Bashar Nuseibeh, Helen C. Shar...