Tag: multi-agent systems

A systematic review of 53 studies finds agent-based modelling and cellular automata dominate evacuation simulation, while earthquake, residential and vulnerable-population ...

Researchers propose treating Big Five personality dimensions as tunable behavioral parameters in multi-agent AI systems, a testable framework rather than ...

A hybrid multi-agent modeling framework jointly optimizes capacity pricing and ancillary-service dispatch, improving matching, cost, and reserve outcomes in simulated ...

A PRISMA-based systematic review of 119 studies from 2018 to 2026 maps AI and robotics applications across industries, alongside challenges ...

A four-layer multi-agent architecture confines LLM reasoning to an observation-only role and validates every proposal against plant engineering diagrams before ...

A new conditional diffusion framework called CDJMP predicts multi-agent vehicle trajectories with state-of-the-art accuracy while cutting inference time to under ...

Researchers built CN-PDS, an LLM-based search system that consolidates and enriches metadata from 148 of China's decentralized public data portals, ...

A new open-access study reports that a multi-agent reinforcement learning framework combined with bio-inspired hyperparameter optimization outperformed comparison models on ...

Researchers propose a modular multi-agent framework, SoS-ML, that generates evidence-based explanations from internal model representations rather than post-hoc justifications.

Researchers have built a MetaGPT-based multi-agent AI framework that combines mix-augmented generation with activation-aware weight quantization to deliver fast, accurate ...