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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 2 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
ATAL
2006
Springer
14 years 1 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
GECCO
2006
Springer
116views Optimization» more  GECCO 2006»
14 years 1 months ago
A crossover for complex building blocks overlapping
We propose a crossover method to combine complexly overlapping building blocks (BBs). Although there have been several techniques to identify linkage sets of loci o form a BB [4, ...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
AAAI
2008
14 years 16 days ago
Phase Transitions and Complexity of Weighted Satisfiability and Other Intractable Parameterized Problems
The study of random instances of NP complete and coNP complete problems has had much impact on our understanding of the nature of hard problems. In this work, we initiate an effor...
Yong Gao
ICIA
2007
14 years 16 days ago
VizScript: Visualizing Complex Interactions in Multi-Agent Systems
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...