Ontologysumo

• Utilizes an alignment table to display relationships between Active Inference and SUMO terms.
• Employs a systematic approach to categorize Active Inference topics into modules.
• Analyzes existing SUMO files to identify appropriate mappings for Active Inference concepts.
• Defines core, entailed, and supplemental topics to organize the presentation of Active Inference data.

Key Findings

• Demonstrates the potential for a rigorous mapping of Active Inference to SUMO.
• Identifies key SUMO supersets and subsets relevant to Active Inference topics.
• Highlights the interdependence of Active Inference concepts and their SUMO counterparts.
• Provides a foundation for future research and development in ontology alignment.

Prerequisites

• Probability theory and Bayesian inference basics
• Free Energy Principle and generative models

🎯 Consulting & Tutoring

Daniel Ari Friedman, PhD is available for AI Research Consulting and Tutoring related to this skill.

Related Skills

See BIBLIOGRAPHY.md for the complete publication catalog and related papers.