Guided reasoning: a new approach to improve the intelligence of multi-agent systems
Gregor Betz from Logikon ai, KIT introduces guided reasoning. A system with more than one agent is a guided reasoning ...
Tag: multiagent
MuMA-ToM: A multimodal benchmark for advancing multi-agent mind-theoretic reasoning in AI
To understand social interactions in complex, real-world environments, deep mental reasoning is necessary to infer the underlying mental states that ...
Text2BIM: A LLM-based multi-agent framework that makes it easier to express design intent more intuitively
Building information modeling (BIM) is a comprehensive method of representing built assets using geometric and semantic data. This data can ...
AtomAgents: a multi-agent artificial intelligence system for autonomously designing metal alloys
The multi-scale challenge of designing new alloys requires a comprehensive approach, as the process includes gathering relevant information, using advanced ...
Researchers at New York University have open-sourced GPUDrive: a GPU-accelerated multi-agent driving simulation at 1 million FPS
Multi-agent planning for mixed human-robot environments faces significant challenges. Current methodologies, which often rely on data-driven human motion prediction and ...
Lyzr Automata: A low-code multi-agent framework for advanced process automation
LyzrCore presents Lyzr Automatawhich represents a significant advancement in the field of process automation, offering a low-code multi-agent framework designed ...
MindSearch: A multi-agent AI framework that processes over 300 web pages in less than 3 minutes to improve information retrieval and integration
Information retrieval and integration are critical processes that underpin analysis and decision making in a variety of fields. These processes ...
CMU researchers explore expert guidance and strategic deviations in multi-agent imitation learning
The problem of a mediator learning to coordinate a group of strategic agents is posed through recommendations of actions without ...
LAMBDA: A new open-source, no-code, multi-agent data analytics system to bridge the gap between industry experts and advanced AI models
In the last decade, the data-driven method using deep neural networks has boosted the success of ai in various challenging ...
Alibaba AI Group proposes AgentScope: a developer-centric multi-agent platform with message exchange as the main communication mechanism
The emergence of large language models (LLMs) has markedly improved the domain of computational linguistics, particularly in multi-agent systems. Despite ...
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