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ATAL
2003
Springer
15 years 1 months ago
Agent memory and adaptation in multi-agent systems
We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
Kristina Lerman, Aram Galstyan
ISNN
2010
Springer
14 years 8 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
SIAMJO
2010
84views more  SIAMJO 2010»
14 years 8 months ago
A Redistributed Proximal Bundle Method for Nonconvex Optimization
Proximal bundle methods have been shown to be highly successful optimization methods for unconstrained convex problems with discontinuous first derivatives. This naturally leads ...
Warren Hare, Claudia A. Sagastizábal
SIGSOFT
2006
ACM
15 years 10 months ago
Questions programmers ask during software evolution tasks
Though many tools are available to help programmers working on change tasks, and several studies have been conducted to understand how programmers comprehend systems, little is kn...
Jonathan Sillito, Gail C. Murphy, Kris De Volder
ATAL
2008
Springer
14 years 11 months ago
Complexity of terminating preference elicitation
Complexity theory is a useful tool to study computational issues surrounding the elicitation of preferences, as well as the strategic manipulation of elections aggregating togethe...
Toby Walsh