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» The use of agents in human learning systems
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 15 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
CSL
2006
Springer
15 years 6 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
AAAI
2007
15 years 8 months ago
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
Martin Zinkevich, Michael H. Bowling, Neil Burch
ATAL
2006
Springer
15 years 10 months ago
Enhancing agent-oriented models with aspects
The modular representation of concerns is imperative in the design modeling of multi-agent systems (MASs). However, MAS designers typically face a number of concerns that inherent...
Alessandro F. Garcia, Christina Chavez, Ricardo Ch...
IDEAL
2005
Springer
15 years 12 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson