Initial Goal Allocation for Multi-agent Systems


  • Khanh Tra Nguyen Tran
  • Jonathan Young St. Olaf College
  • Sravya Kondrakunta



In the multi-agent environment, a human expert engages in
the allocation of objectives among individual agents. How-
ever, autonomous agents need to determine and allocate ob-
jectives without external intervention from humans. There-
fore, in this research, we attempt to solve initial goal distri-
bution challenges in multi-agent settings by developing two
goal allocation algorithms. The primary objectives are to find
cost-effective goal solution sets and distribute them evenly
among available agents. We introduce two algorithms when
the goals are structured in a hierarchical goal tree structure,
and then test their efficiency across a variety of baseline al-
location methods. Both algorithms were able to increase the
performance of agents in multi-agent settings by finding the
most optimal distributions of goals and allowing agents to act
independently from human intervention.




How to Cite

Nguyen Tran, K. T., Young, J., & Kondrakunta, S. (2024). Initial Goal Allocation for Multi-agent Systems. The International FLAIRS Conference Proceedings, 37(1).



Special Track: Uncertain Reasoning