Published August 2, 2026
| Version v2
Preprint
Open
CPPTAI-Traslocatore: A Five-Phase Entropic Framework for Hierarchical Problem Solving
Authors/Creators
Contributors
Researcher (3):
Description
CPPTAI-Traslocatore is an open and reproducible five-phase framework for hierarchical problem solving based on explicit entropy management.
The system guides complex tasks from high-uncertainty states to stable solutions through adaptive decomposition, bounded cognitive refinement, ordered convergence of knowledge sources, and verified presentation of results. The framework is implemented as a modular Python project and produces structured, auditable artifacts to support transparency, evaluation, and reuse.
CPPTAI-Traslocatore is designed for research in AI reasoning, LLM orchestration, and uncertainty-aware decision systems.
Files
CPPTAI_v2.pdf
Additional details
Software
- Repository URL
- https://github.com/fra150/CPPTAI.git
- Programming language
- Python
- Development Status
- Active
References
- ] Jason Wei et al., "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models." In NeurIPS, 2022. https://arxiv.org/abs/2201.11903
- Shunyu Yao et al., "Tree of Thoughts: Deliberate Problem Solving with Large Language Models." 2023. https://arxiv.org/abs/2305.10601
- Michał Besta et al., "Graph of Thoughts: Solving Elaborate Problems with Large Language Models." 2024. https://arxiv.org/abs/2308.05761
- Shunyu Yao et al., "ReAct: Synergizing Reasoning and Acting in Language Models." 2022. https://arxiv.org/abs/2210.03629
- Xuezhi Wang et al., "Self-Consistency Improves Chain of Thought Reasoning in Language Models." 2023. https://arxiv.org/abs/2303.11366
- Xinyun Chen et al., "Program of Thoughts: Enhancing Reasoning via Code Generation." 2022. https://arxiv.org/abs/2211.12588
- Kevin Yang et al., "Large Language Models as Optimizers." 2023. https://arxiv.org/ abs/2309.03409
- Omar Khattab et al., "DSPy: Declarative Language Model Programming." 2023. https: //arxiv.org/abs/2305.11665
- Jun Qian et al., "ChatDev: Communicative Agents for Software Development." 2023. https://arxiv.org/abs/2307.07906
- Yuan Li et al., "CAMEL: Communicative Agents for Mind Exploration of Large Language Models." 2023. https://arxiv.org/abs/2303.17760