ATAL
2003
Springer
13 years 9 months ago
2003
Springer
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
The effectiveness of simulation-based training for individual tasks – such as piloting skills – is well established, but its use for team training raises challenging technical...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent ...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. A self-organising system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collec...
ATAL
2003
Springer
13 years 9 months ago
2003
Springer
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...