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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 5 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 5 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
14 years 6 hour 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