From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models
Mirrored from Hugging Face Daily Papers for archival readability. Support the source by reading on the original site.
The new paradigm for for \"AI + economics\"</p>\n","updatedAt":"2026-08-07T07:39:59.860Z","author":{"_id":"637c6703ca8542a0ba900ccb","avatarUrl":"/avatars/288ed63a1efa566c3f01e850c6ba5dd5.svg","fullname":"Wang","name":"Benyou","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":10,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.8540925979614258},"editors":["Benyou"],"editorAvatarUrls":["/avatars/288ed63a1efa566c3f01e850c6ba5dd5.svg"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2608.06020","authors":[{"_id":"6a75507ae1228e04b32381e8","user":{"_id":"660bcc9023882577a6ff4660","avatarUrl":"/avatars/905a8dfbc7b4fbd2cc8d96b5f9c785cd.svg","isPro":false,"fullname":"Jiale Han","user":"JialeHan","type":"user","name":"JialeHan"},"name":"Jiale Han","status":"claimed_verified","statusLastChangedAt":"2026-08-07T08:45:04.550Z","hidden":false},{"_id":"6a75507ae1228e04b32381e9","name":"Xiang Li","hidden":false},{"_id":"6a75507ae1228e04b32381ea","name":"Jing Qian","hidden":false},{"_id":"6a75507ae1228e04b32381eb","name":"Wenyuan Gu","hidden":false},{"_id":"6a75507ae1228e04b32381ec","name":"Pin Gao","hidden":false},{"_id":"6a75507ae1228e04b32381ed","name":"Ye Luo","hidden":false},{"_id":"6a75507ae1228e04b32381ee","name":"Hongyuan Zha","hidden":false},{"_id":"6a75507ae1228e04b32381ef","name":"Dacheng Tao","hidden":false},{"_id":"6a75507ae1228e04b32381f0","name":"Benyou Wang","hidden":false},{"_id":"6a75507ae1228e04b32381f1","name":"Lin William Cong","hidden":false}],"publishedAt":"2026-08-06T00:00:00.000Z","submittedOnDailyAt":"2026-08-07T00:00:00.000Z","title":"From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models","submittedOnDailyBy":{"_id":"637c6703ca8542a0ba900ccb","avatarUrl":"/avatars/288ed63a1efa566c3f01e850c6ba5dd5.svg","isPro":false,"fullname":"Wang","user":"Benyou","type":"user","name":"Benyou"},"summary":"Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional mechanisms through which their interactions produce aggregate outcomes. This paper develops an implementation roadmap for building economic world models as generative engines in which heterogeneous agents act, interact, adapt, and co-evolve with markets and institutions, thereby producing economic dynamics from the inside. We organize EWM systems into a six-level capability ladder, from fixed rule-based agent worlds to adaptive and LLM-based agent worlds, self-evolving agents, evolving institutional worlds, and sim-to-real economic twins aligned with real observations. A systematic literature survey across these levels reveals that existing work remains concentrated in lower-level agent and simulation environments, while systems with self-evolving agents, endogenous institutions, persistent empirical alignment, and validated economic mechanisms remain rare. By translating the EWM agenda into an implementation blueprint, this paper aims to accelerate the development of the next generation of economic simulation environments that can serve as high-fidelity sandboxes for human decision-makers and as training, planning, evaluation, and safety substrates for AI agents. We release a curated paper list and related resources to support future research.","upvotes":23,"discussionId":"6a75507ae1228e04b32381f2","projectPage":"https://economic-world-model.github.io/","githubRepo":"https://github.com/FreedomIntelligence/Awesome-Economic-World-Models","githubRepoAddedBy":"user","githubStars":48,"organization":{"_id":"640e87ec3830fd441c2dd85a","name":"FreedomIntelligence","fullname":"FreedomAI","avatar":"https://www.gravatar.com/avatar/ad73607eb900e074a2e973297f74962b?d=retro&size=100"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"660bcc9023882577a6ff4660","avatarUrl":"/avatars/905a8dfbc7b4fbd2cc8d96b5f9c785cd.svg","isPro":false,"fullname":"Jiale Han","user":"JialeHan","type":"user"},{"_id":"64f3f7d23c91b66cfc718cdf","avatarUrl":"/avatars/e85e3dce1fe40b5091588e1d91157a2f.svg","isPro":false,"fullname":"gwy","user":"gwy1997","type":"user"},{"_id":"6529e6d466313ebb61724940","avatarUrl":"/avatars/da04eba88bfd3d55bb866effcf3a3489.svg","isPro":false,"fullname":"肖鸿儒","user":"Xhr0306","type":"user"},{"_id":"678cb8e1c84e7bb993fa10b4","avatarUrl":"/avatars/0961e4a8356acabf0a99963641b5b8ce.svg","isPro":false,"fullname":"Li","user":"Lizrrrr","type":"user"},{"_id":"637c6703ca8542a0ba900ccb","avatarUrl":"/avatars/288ed63a1efa566c3f01e850c6ba5dd5.svg","isPro":false,"fullname":"Wang","user":"Benyou","type":"user"},{"_id":"64f1a34f2c5c8b767916447e","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64f1a34f2c5c8b767916447e/uak2CsMAnxW8q4dwyAOBN.jpeg","isPro":false,"fullname":"Zhenyang Cai","user":"Eric3200","type":"user"},{"_id":"66440e86bfe15e84d369cb03","avatarUrl":"/avatars/d15b3b3831bc74138206071612169f64.svg","isPro":false,"fullname":"Xinyuan Xie","user":"SatsukiVie","type":"user"},{"_id":"63ca949b04c979828315389d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63ca949b04c979828315389d/HS5xWNAYjjHeyAAwWJ11l.jpeg","isPro":false,"fullname":"wangrongsheng","user":"wangrongsheng","type":"user"},{"_id":"6819c4b3ba781b9ebb08cf48","avatarUrl":"/avatars/6a51be63df7469d34a2f5c5229dac88d.svg","isPro":false,"fullname":"Jiaxi Bi","user":"Jiaxi0775","type":"user"},{"_id":"68c6a75b68632ba6d823ba25","avatarUrl":"/avatars/56f3097995baa24cf473b907eea139bf.svg","isPro":false,"fullname":"aluyilin2020","user":"aluyilin2020","type":"user"},{"_id":"6462eaf23c6fd465dc116c23","avatarUrl":"/avatars/0a719f40086e5be61e5ce68b6353f41d.svg","isPro":false,"fullname":"JuhaoLiang","user":"JuhaoLiang","type":"user"},{"_id":"68c22cb0f4c4215214dcd249","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/JoMp9mcH1oMyRkgNk4NqU.png","isPro":false,"fullname":"LiXinHang","user":"XinhanG17","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"organization":{"_id":"640e87ec3830fd441c2dd85a","name":"FreedomIntelligence","fullname":"FreedomAI","avatar":"https://www.gravatar.com/avatar/ad73607eb900e074a2e973297f74962b?d=retro&size=100"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2608/2608.06020.md","query":{}}">
Papers
arxiv:2608.06020
From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models
Abstract
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional mechanisms through which their interactions produce aggregate outcomes. This paper develops an implementation roadmap for building economic world models as generative engines in which heterogeneous agents act, interact, adapt, and co-evolve with markets and institutions, thereby producing economic dynamics from the inside. We organize EWM systems into a six-level capability ladder, from fixed rule-based agent worlds to adaptive and LLM-based agent worlds, self-evolving agents, evolving institutional worlds, and sim-to-real economic twins aligned with real observations. A systematic literature survey across these levels reveals that existing work remains concentrated in lower-level agent and simulation environments, while systems with self-evolving agents, endogenous institutions, persistent empirical alignment, and validated economic mechanisms remain rare. By translating the EWM agenda into an implementation blueprint, this paper aims to accelerate the development of the next generation of economic simulation environments that can serve as high-fidelity sandboxes for human decision-makers and as training, planning, evaluation, and safety substrates for AI agents. We release a curated paper list and related resources to support future research.
Community
The new paradigm for for "AI + economics"
Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.
Tap or paste here to upload images
Get this paper in your agent:
hf papers read 2608.06020 curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper
No model linking this paper
Cite arxiv.org/abs/2608.06020 in a model README.md to link it from this page.
Datasets citing this paper
No dataset linking this paper
Cite arxiv.org/abs/2608.06020 in a dataset README.md to link it from this page.
Spaces citing this paper
No Space linking this paper
Cite arxiv.org/abs/2608.06020 in a Space README.md to link it from this page.
Collections including this paper
No Collection including this paper
Add this paper to a collection to link it from this page.
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.