DFAS-CM: The Foundational Evolution of the DFAS Causal Method - From Dynamic Financial Algorithms (AFMF) to a Behavioral–Temporal Causal Doctrine
Abstract
This document constitutes the formal doctrinal record of the DFAS Causal Method (DFAS-CM). It documents the methodological transition from dynamic financial modeling (AFMF) to a behavioral–temporal causal structure integrating A-SFBM (Alaali Self-Funded Behavioral Model). The document does not present an empirical validation study. Its purpose is structural, methodological, and doctrinal clarification within the Dynamic Financial Applied Meta-Science (DFAS) domain. It establishes the decision → behavior → time → effect → feedback architecture as the governing causal sequence within DFAS.
Fields of Study & Subjects
Complex Systems and Decision Making
Decision-Making and Behavioral Economics
Complex Systems and Time Series Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 March 2026
- Language
- EN