A methodology and modelling technique for systems of BDI agents
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2001: Robot Soccer World Cup V
UvA Trilearn 2001 Team Description
RoboCup 2001: Robot Soccer World Cup V
End User Specification of RoboCup Teams
RoboCup-99: Robot Soccer World Cup III
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Layered learning in multiagent systems
Layered learning in multiagent systems
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents
Hi-index | 0.00 |
We consider real-time environments that require robot agents to work together. In these situations the agents can be designed to coodinate explicitly with some form of negotiation or implicitly with precoded agreements. We propose a implicit method of co-ordinating a team of agents responses within the RoboCup Simulated Soccer league. This involves a list of multi-agent plans called plays that a soccer expert can easily define for the system. The aim is to have a system that is flexible yet powerful and executes the play as intended with very little performance overhead. One possible problem with this approach is that agents will have differing world models. We hypothesise that this approach will keep agents co-ordinated a reasonable percentage of the time even with their differing world models. This is supported by our preliminary results although further tests are required.