Non-Intentionalist Civilizational Progress: A 2500-Year Research Protocol for Digital Humanities Inquiry
Authors/Creators
Description
This position paper presents a research protocol for studying how human societies have moved forward over the last 2500 years without central planning.
Many history books explain progress as a result of a single clever person designing a big solution. Our work shows a different picture. Progress often comes from many small, rough, good-enough solutions made by ordinary people when they face pressure and limited resources.
We call this muddling through. When a rough solution works, it stays. When many institutions later notice it, they try to regulate, tax, or label it as right or wrong. Sometimes a useful solution is called illegal or illegitimate, not because it is harmful, but because it breaks an existing rule or earning method.
Over time, some rough solutions become infrastructure like roads, scripts, or user-interface rules.
This paper does not argue against any other framework by name in this abstract. It only offers a way to study history through the lens of local problem solving, niche construction, and persistence of tools.
Niche construction means humans change their environment and that changed environment then changes human behavior.
Persistence means a tool or practice continues even when the people who made it are gone.
We outline seven historical themes and propose ten satellite studies that will populate this protocol with cases from Greek ergonomics, Vedic spatial logic, and modern user experience design. The goal is to provide a calm, verifiable roadmap for Digital Humanities that treats civilizational tools as the latest iteration in a 2500-year heuristic toolbox.
Files
Heustoc_Theory_A_2500_Year_Non-Intentionalist_Civilizational_Progress .pdf
Additional details
Additional titles
- Alternative title (English)
- How societies move forward without a master plan - a research roadmap anyone can follow
References
- 1. Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129-138. (Bounded rationality, satisficing) 2. Agrawal, R. (2026a). The Heuristic Imperative: A 2500 Year Survey Framework of Non-Intentionalist Human Progress. SSRN DOI: 10.2139/ssrn.6662759, 3. Agrawal, R. (2026b). The Heuristic Imperative: A Post-Collective Brain Framework for Non-Intentionalist Progress. SSRN DOI: 10.2139/ssrn.6727438 4. Agrawal, R. (2026c). The Stochastic Filter: A Subtractive Model of Heuristic Survival. SSRN DOI: 10.2139/ssrn.6740700 5. Agrawal, R. (2026d). Heustoc Theory: A Unified Framework. Zenodo DOI: 10.5281/zenodo.20356102 6. Henrich, J. (2016). The Secret of Our Success. Princeton University Press. (Collective learning) 7. Muthukrishna, M., & Henrich, J. (2016). Innovation in the collective brain. Phil. Trans. B. 8. Mokyr, J. (2002). The Gifts of Athena. Princeton University Press. (Useful knowledge) 9. Basalla, G. (1988). The Evolution of Technology. Cambridge University Press. 10. Rosenberg, N. (1982). Inside the Black Box. Cambridge University Press. 11. Arthur, W. B. (1989). Competing technologies and lock-in. Economic Journal. 12. David, P. A. (1985). Clio and the economics of QWERTY. American Economic Review. 13. Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Harvard. 14. Nielsen, J. (1994). 10 Usability Heuristics. 15. Gigerenzer, G. (2007). Gut Feelings. Viking. (Ecological rationality) 16. Tainter, J. (1988). The Collapse of Complex Societies. Cambridge. Related Identifiers: 1. Agrawal, R. (2026a). The Heuristic Imperative: A 2500 Year Survey Framework. SSRN. DOI: 10.2139/ssrn.6662759 2. Agrawal, R. (2026b). The Heuristic Imperative: A Post-Collective Brain Framework. SSRN. DOI: 10.2139/ssrn.6727438 3. Agrawal, R. (2026c). The Stochastic Filter: A Subtractive Model. SSRN. DOI: 10.2139/ssrn.6740700 4. Agrawal, R. (2026d). Heustoc Theory: A Unified Framework. Zenodo. DOI: 10.5281/zenodo.20356102 (monograph) 5. Agrawal, R. (2026e). The Three Axioms of Heustoc Theory: Generation, Elimination, and Residual Robustness. Zenodo. DOI: 10.5281/zenodo.23313834