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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 9 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
IJON
2002
104views more  IJON 2002»
13 years 4 months ago
Power and the limits of reactive agents
In this paper I will show how reactive agents can solve relatively complex tasks without requiring any internal state and I will demonstrate that this is due to their ability to c...
Stefano Nolfi
ENTCS
2007
139views more  ENTCS 2007»
13 years 4 months ago
A Change-based Approach to Software Evolution
Software evolution research is limited by the amount of information available to researchers: Current version control tools do not store all the information generated by developer...
Romain Robbes, Michele Lanza
TRIDENTCOM
2008
IEEE
13 years 11 months ago
A 3GPP system architecture evolution virtualized experimentation infrastructure for mobility prototyping
The 3GPP System Architecture Evolution (SAE) is a very attractive environment from the service provisioning perspective, thanks to the variety of access technologies and mobility ...
Miguel Gómez Rodríguez, Fermí...
ICTAI
2009
IEEE
13 years 11 months ago
Emergence of Memory-like Behavior in Reactive Agents Using External Markers
Early primitive animals with simple feed-forward neuronal circuits were limited to reactive behavior. Through evolution, they were gradually equipped with memory and became able t...
Ji Ryang Chung, Yoonsuck Choe