Navigating Latent Worlds: A Hypertextual Taxonomy of World Models as Nonlinear Knowledge StructuresWorld models, learned internal representations that simulate environment dynamics, predict future states, and enable counterfactual reasoning, have emerged as a central construct in the pursuit of autonomous intelligence.
- doi
- 10.1145/3800935.3830860
- isbn
- 979-8-4007-2564-7
- name
- Navigating Latent Worlds: A Hypertextual Taxonomy of World Models as Nonlinear Knowledge Structures
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830860
- authors
- Raghav Sharma, Manan Mehta, Adit Kotwal
- doi_url
- https://doi.org/10.1145/3800935.3830860
- license
- CC BY 4.0
- summary
- World models, learned internal representations that simulate environment dynamics, predict future states, and enable counterfactual reasoning, have emerged as a central construct in the pursuit of autonomous intelligence.
- keywords
- world models; hypertext theory; nonlinear knowledge representation; latent state traversal; foundation models; generative simulation; reader agency
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830860
- ccs_concepts
- CCS Concepts: • Information systems → Hypertext languages ; • Computing methodologies → Reinforcement learning ; • Information systems → Hypertext navigation and linked data ;
- displayAuthor
- Raghav Sharma, Manan Mehta, Adit Kotwal
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Raghav Sharma, Manan Mehta, and Adit Kotwal. 2026. Navigating Latent Worlds: A Hypertextual Taxonomy of World Models as Nonlinear Knowledge Structures. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 11 Pages. https://doi.org/10.1145/3800935.3830860
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