1st International Workshop on Causal Learning and Reasoning in Agents and Multiagent Systems
CLaRAMAS 2026
About this Conference
A workshop focused on causal learning and reasoning in single and multi-agent systems, exploring how agents can understand and leverage causal relationships in their environment and interactions. The workshop examines theoretical foundations, practical applications, and methodological approaches to causal reasoning in artificial intelligence.
Call for Papers
The workshop invites submissions on topics including: causal learning in agent architectures, causal modeling of agent-environment and agent-agent relationships, causal explainability and safety in agent design, integration of causal learning with reinforcement learning, theoretical foundations of causal reasoning, practical MAS applications, cooperative causal discovery, neuro-symbolic AI, and evaluation benchmarks for causal multi-agent systems.
Important Dates
- Full Paper Submission February 4, 2026
- Conference dates 25-26 May 2026