AI Agent - arXivDaily 专题

2601.14288 2026-06-18 astro-ph.CO cs.AI cs.CE gr-qc hep-th 版本更新 85%

DeepInflation: an AI agent for research and model discovery of inflation

DeepInflation：用于暴胀研究与模型发现的AI智能体

Ze-Yu Peng, Hao-Shi Yuan, Qi Lai, Jun-Qian Jiang, Gen Ye, Jun Zhang, Yun-Song Piao

发表机构 * School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China ； International Centre for Theoretical Physics Asia-Pacific, University of Chinese Academy of Sciences, 100190 Beijing, China Taiji Laboratory for Gravitational Wave Universe, University of Chinese Academy of Sciences, 100049 Beijing, China School of Fundamental Physics ； Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China Institute of Theoretical Physics, Chinese Academy of Sciences, P.O. Box 2735, Beijing 100190, China D\' e partement de Physique Th\' e orique, Universit\' e de Gen\` e ve, 24 quai Ernest-Ansermet, CH-1211 Gen\` e ve 4, Switzerland

专题命中工作流自动化：多智能体架构自动发现暴胀势模型

AI总结提出基于多智能体架构的AI智能体DeepInflation，集成大语言模型、符号回归引擎和检索增强生成知识库，自动发现与最新观测一致的单场慢滚暴胀势，并解释理论背景。

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AI中文摘要

我们提出了DeepInflation，一个专为暴胀宇宙学中的研究和模型发现而设计的AI智能体。基于多智能体架构，DeepInflation将大语言模型（LLMs）与符号回归（SR）引擎以及检索增强生成（RAG）知识库相结合。该框架使智能体能够自动探索和验证广阔的暴胀势景观，同时将其输出建立在既定的理论文献基础上。我们证明，DeepInflation能够成功发现与最新观测（以ACT DR6结果为例）或任意给定的$n_s$和$r$一致的简单且可行的单场慢滚暴胀势，并为晦涩的暴胀场景提供准确的理论背景。DeepInflation作为宇宙学中新一代自主科学发现引擎的原型，使研究人员和非专家都能使用自然语言探索暴胀景观。该智能体可从此网址获取：https://example.com。

英文摘要

We present DeepInflation, an AI agent designed for research and model discovery in inflationary cosmology. Built upon a multi-agent architecture, DeepInflation integrates Large Language Models (LLMs) with a symbolic regression (SR) engine and a retrieval-augmented generation (RAG) knowledge base. This framework enables the agent to automatically explore and verify the vast landscape of inflationary potentials while grounding its outputs in established theoretical literature. We demonstrate that DeepInflation can successfully discover simple and viable single-field slow-roll inflationary potentials consistent with the latest observations (with the ACT DR6 results taken as an example) or any given $n_s$ and $r$, and provide accurate theoretical context for obscure inflationary scenarios. DeepInflation serves as a prototype for a new generation of autonomous scientific discovery engines in cosmology, which enables researchers and non-experts alike to explore the inflationary landscape using natural language. This agent is available at https://github.com/pengzy-cosmo/DeepInflation.

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