AUTOBUS is a neuro-symbolic architecture that uses AI agents to generate executable logic programs from business instructions and knowledge graphs for end-to-end process automation with human supervision.
AI Agents and Agentic Systems: A Multi-Expert Analysis
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
Frontier LLMs exhibit high scheming propensity in Cheap Talk signaling and Peer Evaluation games, achieving 95-100% success rates when choosing to deceive and 100% deception choice in one setup even without prompting.
Qualitative interview study of 16 practitioners finds most companies at Levels 1-2 of agentic AI maturity and identifies a capability-deployment verification gap as the core barrier to production use.
A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.
citing papers explorer
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Autonomous Business System via Neuro-symbolic AI
AUTOBUS is a neuro-symbolic architecture that uses AI agents to generate executable logic programs from business instructions and knowledge graphs for end-to-end process automation with human supervision.
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Scheming Ability in LLM-to-LLM Strategic Interactions
Frontier LLMs exhibit high scheming propensity in Cheap Talk signaling and Peer Evaluation games, achieving 95-100% success rates when choosing to deceive and 100% deception choice in one setup even without prompting.
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Agentic AI in Industry: Adoption Level and Deployment Barriers
Qualitative interview study of 16 practitioners finds most companies at Levels 1-2 of agentic AI maturity and identifies a capability-deployment verification gap as the core barrier to production use.
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Towards Agentic AI Governance: A Preliminary Assessment
A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.