Tag: multi-agent systems
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Collaborative Causal Sensemaking in Human-AI Decision Support
Explore how Collaborative Causal Sensemaking bridges the human-AI complementarity gap, enhancing trust and teamwork in expert decision-making.
Goal-Oriented Multi-Agent Networking for 6G Intelligence
Discover GoAgentNet, a multi-agent semantic network architecture enhancing 6G with goal-driven AI, improved efficiency, and intelligent collaboration.
Unicorn: Reinforcement Learning for Adaptive Traffic Control
Discover Unicorn, a universal multi-agent RL framework improving network-wide adaptive traffic signal control for diverse urban environments.
Coordination Failures in Code Agents with Partial Specs
Explore how partial knowledge causes coordination failures in code agents and why detailed specs are key for multi-agent code generation success.
AgentChemist: Multi-Agent Robotic Platform for Chemical Labs
AgentChemist offers adaptive multi-agent robotic automation with chemical perception and precise control to revolutionize lab experiments and workflows.