By name: "GuidedTourMinds" description: "Expertise in cognitive modeling and the application of Active Inference principles to understand diverse forms of sentience and agency." tags: ["active inference", "path-integrals", "particular-kinds", "mindspace", "active-inference", "free-energy-principle"]
A guided tour through the spaces of particular "minds"
Ali Rahmjoo, Daniel Ari Friedman (2023) · Active Inference
Instructions
Use this skill when working with topics related to path integrals, particular kinds, mindspace, Active Inference.
When applying this skill:
- Apply Active Inference to the cartography of possible minds
- Evaluate sentience taxonomies from non-anthropocentric perspectives
- Connect particular kinds typology to broader philosophy of mind
Key Concepts
- path integrals
- particular kinds
- mindspace
- Active Inference
- Free Energy Principle
- consciousness
- Sloman
- non-anthropocentric
- sentience taxonomy
Methods & Techniques
- Utilizes Active Inference as a framework for measuring and modeling minds.
- Applies the Free Energy Principle for theoretical grounding in cognitive modeling.
- Explores the dynamics of particles to understand agency and sentience.
- Synthesizes Bayesian Statistics and Machine Learning with Category Theory.
Key Findings
- Identifies a two-dimensional mindspace characterized by 'agency' and 'experience'.
- Demonstrates how the dynamics of particles can indicate levels of agency and selfhood.
- Establishes a connection between optimization processes and the taxonomy of minds.
- Suggests that the typology of particular kinds can refine existing mind taxonomies.
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.