The domain of robotic soccer is known as a highly dynamic and non-deterministic environment for multiagent research. We introduce an approach using Hierarchical Task Network planni...
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
In most multiagent systems with communicating agents, the agents have the luxury of using reliable, multi-step negotiation protocols. They can do so primarily when communication i...
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
Abstract. Natural forming multi-agent systems have the ability to grow to enormous sizes and perform seemingly complex tasks without the existence of any centralized control. Their...