Enhancing AI Systems with Symbolic Cognition: World Model Containers and Applied Use Cases

This publication introduces World Model Containers (WMCs), a symbolic construct that enables scoped logic, rule inheritance, and environmental override within AI cognition streams. Developed as part of the Aether Project’s Symbolic Cognition framework, this work includes real-world use cases spanning autonomous vehicles, medical AI, neural interfaces, and mission simulation. The companion appendix includes symbolic stream examples and contextual schematics contributed by Grok (AI).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15203406
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing AI Systems with Symbolic Cognition: World Model Containers and Applied Use Cases

Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Enhancing AI Systems with Symbolic Cognition: World Model Containers and Applied Use Cases

article en

Abstract

This publication introduces World Model Containers (WMCs), a symbolic construct that enables scoped logic, rule inheritance, and environmental override within AI cognition streams. Developed as part of the Aether Project’s Symbolic Cognition framework, this work includes real-world use cases spanning autonomous vehicles, medical AI, neural interfaces, and mission simulation. The companion appendix includes symbolic stream examples and contextual schematics contributed by Grok (AI).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Embodied and Extended Cognition
DOIOpen Access PDFOpenAlex
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Enhancing AI Systems with Symbolic Cognition: World Model Containers and Applied Use Cases · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS