Multiagent Systems (MAS) are computational frameworks in which multiple autonomous agents interact within a shared environment, each perceiving inputs and taking actions in pursuit of individual or collective objectives. Agents may cooperate, compete, or negotiate, and their interactions can produce emergent system-level behaviors. Grounded in game theory, distributed computing, and reinforcement learning, MAS research addresses coordination, communication, and scalability, with applications in robotics, supply chain optimization, and autonomous AI pipelines.

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How AI Can Transform the Way Companies Buy What They Need

Procurement teams lose time and money to inaccurate demand forecasts and manual supplier negotiations. A new framework from NEC Corporation and NEC Laboratories America combines automated negotiation with multimodal AI forecasting to optimize both sides of the procurement process.