DFAS-CM: The Foundational Evolution of the DFAS Causal Method - From Dynamic Financial Algorithms (AFMF) to a Behavioral–Temporal Causal Doctrine

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Authors: Alaali, Hasan Alaali
Cited by: 0

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