35 search results - page 1 / 7 » Learning in a Fixed or Evolving Network of Agents |
IAT
2009
IEEE
13 years 8 months ago
2009
IEEE
This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
NPL
2000
13 years 4 months ago
2000
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
ECAL
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...
ICES
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...