From Surveillance to Cognition: A Unified Framework for Precision Behavioral and Metabolic Intelligence in Companion Animals
This framework paper presents the Barkley Intelligence Architecture — a unified computational infrastructure for individual-centric canine behavioral modeling. It introduces the Missing Data Paradox, the LLM Veneer, and the Cortisol Delay as novel conceptual contributions, and synthesizes the Barkley Behavioral Intelligence Series (No. 01–08) and Metabolic Intelligence Series (No. 01) into a single research agenda. This paper is a perspective paper and framework proposal. Empirical validation studies are ongoing. Not intended for clinical diagnosis, veterinary diagnosis, or medical advice.
Authors
- Elodie P. Remoissenet (ORCID: https://orcid.org/0009-0004-6031-659X)
Institutions
- Barnsley College (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-01
- DOI
- https://doi.org/10.5281/zenodo.20060326
- Primary Topic
- Human-Animal Interaction Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00