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ATAL
2009
Springer
14 years 2 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
ICGI
1998
Springer
13 years 12 months ago
Meaning Helps Learning Syntax
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Isabelle Tellier
WSC
2001
13 years 9 months ago
Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimization
Tactical and operational planning for manufacturing enterprises are more important today than ever before as their supply chains span the globe. Two state-of-the-art technologies ...
Peter Lendermann, Boon-Ping Gan, Leon F. McGinnis
ATAL
2003
Springer
14 years 28 days ago
A multi-agent system for the quantitative simulation of biological networks
We apply the multi-agent system (MAS) platform to the task of biological network simulation. In this paper, we describe the simulation of signal transduction (ST) networks using t...
Salim Khan, Ravi Makkena, Foster McGeary, Keith S....
WSC
2008
13 years 10 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell