Workshop on Multi-Agent Systems: Simulations, Intelligence & VErification (MASSIVE)

Scope

Intelligent systems today operate across a variety of complex, distributed, and dynamic environments. These systems support scientific discovery, enable large-scale simulations, coordinate autonomous entities, and enhance decision-making processes across domains. 

This workshop focuses on the convergence of Agent-Based Modeling and Simulation (ABMS), Multi-Agent Systems (MAS), Machine Learning, Agentic AI, and Digital Twins. 

It aims to explore the next generation of intelligent simulation environments, where agents can reason, learn, adapt, and interact autonomously. 

We particularly encourage contributions that bridge the gap between theoretical foundations and real-world applications.

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Topics

• Agent-Based Modeling frameworks
• Agentic AI and LLM-driven agents
• Multi-agent coordination and learning
• Formal models and validation
• Machine Learning and Reinforcement Learning
• Human-in-the-loop simulation
• Digital Twins
• Computational Social Science
• Financial simulations
• Blockchain and DeFi systems
• Cybersecurity simulations
• Logistics and industrial systems
• Healthcare modeling
• Crisis management systems
• Swarm intelligence