Sharedprotentions

Methods & Techniques

• Review of Husserlian phenomenology focusing on inner time-consciousness concepts.
• Application of active inference as a formal approach to model agent behavior.
• Utilization of sheaf and topos theory to represent agent interactions and shared understanding.
• Construction of a 'consensus topos' to analyze social action based on shared goals.

Key Findings

• Shared protentions are crucial for coordination and achieving common objectives in multi-agent systems.
• The framework provides insights into the dynamics of social action and group intentionality.
• Mathematical modeling allows for predictions of agent behaviors and environmental responses.
• The approach contributes to the field of computational phenomenology and naturalizes group intentionality.

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.