SimuRA: A World-Model-Driven Simulative Reasoning Architecture for General Goal-Oriented Agents Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2507.23773
AI agents built on foundation models hold enormous promise. Current practice, however, focuses on a one-task-one-agent approach, which not only falls short of scalability and generality, but also faces practical limitations from black-box autoregressive reasoning, where decisions unfold token by token without explicit simulation or counterfactual evaluation of outcomes. Humans, on the other hand, reason and plan by mentally simulating the consequences of actions within an internal model of the world -- a capability that supports flexible, goal-directed behavior across diverse contexts. Moving towards a more general and powerful AI agent, we introduce SimuRA, a goal-oriented architecture for generalized agentic reasoning. Based on a principled formulation of an optimal agent in any general environment, SimuRA addresses the limitations of black-box autoregressive reasoning by incorporating the world model for planning via simulation. Our prototype world model is implemented using LLMs as a substrate, leveraging the natural language as a discrete, hierarchical representation grounded in concepts for planning, while remaining model-agnostic. On complex web-browsing tasks such as flight search, SimuRA improves the success rate from 0% to 32.2% compared to a representative open-web agent baseline. Across tasks, world-model-based planning achieves up to 124% higher task completion rates than a matched black-box autoregressive baseline, demonstrating the advantages of simulative reasoning. We release ReasonerAgent-Web, a web-browsing agent built on SimuRA, as an open-source research demo.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2507.23773
- https://arxiv.org/pdf/2507.23773
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4414922302
Raw OpenAlex JSON
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https://openalex.org/W4414922302Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2507.23773Digital Object Identifier
- Title
-
SimuRA: A World-Model-Driven Simulative Reasoning Architecture for General Goal-Oriented AgentsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-31Full publication date if available
- Authors
-
Mingkai Deng, Jing Hou, Yilin Shen, Hongxia Jin, Graham Neubig, Zhiting Hu, Eric P. XingList of authors in order
- Landing page
-
https://arxiv.org/abs/2507.23773Publisher landing page
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https://arxiv.org/pdf/2507.23773Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2507.23773Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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