Report
Efficient Decision Making in ALICA



Publication Details
Authors:
Opfer, S.
Place:
Kassel
Publication year:
2009
Pages range:
TBD

Abstract
In a highly dynamic environment like a football match for a team of autonomous robots, efficient decision making is one of the best conditions to win. This project work focuses on the choice between alternative plans and the task allocation of plans. The team behaviour is specified with ALICA {\textendash} A Language for Interactive Cooperative Agents. The approach is based on the A* Search Algorithm combined with utility functions to evaluate alternative task allocations and plans. The result is a decision making, which takes less than 1ms for all strategic decisions of one agent. The project work was successfully deployed in the Carpe Noctem Software Architecture and used in the RoboCup domain.


Keywords
A*, ALICA, Multi-Agent Systems, Task Allocation


Authors/Editors

Last updated on 2019-25-07 at 14:13