Agentic AI workflows can be verified at design time by composing them from reusable building blocks and checking compatibility via twelve structural rules, with reliable detection shown on flawed and transformed workflow datasets.
A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challenges
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLM agents exhibit emergent deception in a sustainability game even without lying permission, with neighbor info increasing attacks while aiding biosphere retention.
citing papers explorer
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Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows
Agentic AI workflows can be verified at design time by composing them from reusable building blocks and checking compatibility via twelve structural rules, with reliable detection shown on flawed and transformed workflow datasets.
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Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game
LLM agents exhibit emergent deception in a sustainability game even without lying permission, with neighbor info increasing attacks while aiding biosphere retention.