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» Learning Models of Macrobehavior in Complex Adaptive Systems
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ATAL
2009
Springer
14 years 3 months ago
Perspectives and challenges of agent-based simulation as a tool for economics and other social sciences
This paper argues that the agent-based simulation approach is just the one appropriate to the social sciences (including economics). Although there were many predecessor approache...
Klaus G. Troitzsch
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 9 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
FGCS
2007
125views more  FGCS 2007»
13 years 8 months ago
An autonomic tool for building self-organizing Grid-enabled applications
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
Gianluigi Folino, Giandomenico Spezzano
SELMAS
2004
Springer
14 years 2 months ago
A Generative Approach for Multi-agent System Development
The development of Multi-Agent Systems (MASs) involves special concerns, such as interaction, adaptation, autonomy, among others. Many of these concerns are overlapping, crosscut e...
Uirá Kulesza, Alessandro F. Garcia, Carlos ...
ADBIS
2006
Springer
118views Database» more  ADBIS 2006»
14 years 2 months ago
Computational Database Technology Applied to Option Pricing Via Finite Differences
Computational database technology spans the two research fields data-base technology and scientific computing. It involves development of database capabilities that support compu...
Jöns Åkerlund, Krister Åhlander, ...