Second MOASEI Competition at AAMAS'2026: A Technical Report
2026-07-03 • Multiagent Systems
Multiagent Systems
AI summaryⓘ
The authors describe the 2026 MOASEI Competition, which tests how well multiple computer agents can make decisions in changing environments. They kept some challenges from 2025, like wildfire fighting and ride-sharing, but added a new twist for wildfire agents where their tools change over time. Only one team submitted a final entry in 2026, focusing on the ride-sharing challenge using planning strategies to match passengers with drivers. The authors present the competition setup, changes from the previous year, and how the submitted team performed compared to basic methods.
multi-agent systemsdecision-makingopen-system conditionsbenchmark competitionwildfire fighting domaincybersecurity domainride-sharing domainplanning and replanningtask completion metricsbaseline policies
Authors
Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi, Daniel Redder, Adam Eck, Prashant Doshi, Leen-Kiat Soh
Abstract
We describe the 2026 Methods for Open Agent Systems Evaluation Initiative (MOASEI) Competition, a benchmark event for evaluating multi-agent decision-making under open-system conditions. Building on the inaugural 2025 competition, the 2026 edition retained wildfire fighting, cybersecurity, and ride-sharing domains while adding a bonus wildfire track with frame openness, in which agent equipment states such as suppressant capacities and firefighting range vary over time. The competition also expanded its reporting metrics to emphasize total task completions, mean task-completion time, and mean value of completed tasks. Participation in 2026 was limited: eight teams registered, but only one team submitted a final entry, and that entry targeted the ride-sharing track. The submitted DLC approach used planning and replanning to solve routing problems across agents as passengers appeared. This report summarizes the 2026 competition design, highlights differences from the previous year, and reports ride-sharing evaluation results against baseline policies. DLC is recognized as the 2026 ride-sharing track winner among submitted teams.