Active Inference & Behavior Engineering for Teams

Catalog Row82

Citation KeyFriedman2020ActiveInferenceBehaviorEngineering082

Paper FolderAvailable

Overview

Extracted from the local paper documentation when available.

This paper proposes a comprehensive framework for Remote Teams that integrates Active Inference with Systems Engineering to enhance communication and decision-making processes. By leveraging the Free Energy Principle, the authors aim to develop effective ontologies, narratives, and tools that can significantly improve team functionality and productivity.

behavior engineeringsystems engineeringorganizational behaviorcomplex adaptive systemsteam formationbehavioral design

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Establishes the importance of effective communication systems in both natural and designed teams.
Synthesizes Active Inference with Systems Engineering to formalize Remote Team processes.
Explores the application of Active Inference in both located and all-online Remote Teams.
Addresses the need for a structured approach to team communication and lifecycle management.

Methods / Techniques

Utilizes the Active Inference framework to analyze communication in teams.
Applies Systems Engineering principles to define and manage team functions.
Investigates the role of narratives and ontologies in enhancing team communication.
Examines the dynamics of team formation and the impact of shared organizational culture.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2020. Active Inference & Behavior Engineering for Teams. Zenodo.

Primary source Documentation BibTeX