Sciweavers

627 search results - page 100 / 126
» Evolution and learning in multiagent systems
Sort
View
ATAL
2008
Springer
13 years 9 months ago
Norm emergence under constrained interactions in diverse societies
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Partha Mukherjee, Sandip Sen, Stéphane Airi...
OOPSLA
2004
Springer
14 years 1 months ago
An aspect-oriented generative approach
Generative programming and aspect-oriented software development have been proposed over the last years aiming at increasing maintainability and reusability of software systems. Wh...
Uirá Kulesza, Alessandro F. Garcia, Carlos ...
SBIA
1998
Springer
13 years 12 months ago
Building Object-Agents from a Software Meta-Architecture
Multi-agent systems can be viewed as object-oriented systems in which their entities show an autonomous behavior. If objects could acquire such skill in a flexible way, agents coul...
Analía Amandi, Ana Price
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
ISADS
1999
IEEE
13 years 12 months ago
Emergence of Communication for Negotiation by a Recurrent Neural Network
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
Katsunari Shibata, Koji Ito