Springer Nature OA
open access
P $$^3$$ 3 MC: Towards Probabilistic Programming Probabilistic Model Checking for Linear Temporal Logic
We introduce P $$^3$$ 3 MC, a novel approach that bridges probabilistic programming and probabilistic model checking for Linear Temporal Logic (LTL). Our framework leverages probabilistic programs as a modeling formalism for stochastic dynamical systems, enabling the analysis of temporal properties
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation#926618
- On the Termination Problem for Probabilistic Higher-Order Recursive Programs#635508
- On the Termination Problem for Probabilistic Higher-Order Recursive Programs#633159
- GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models#1000502
- MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model Deployment#424051
Record · ID 1347997
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive