Project summary

Dynamic Constraint Boundary (DCB) is a theoretical framework that investigates how evolving constraints shape adaptive behavior in human and artificial systems.

Rather than viewing intelligence solely as the accumulation of capabilities, DCB proposes that adaptive systems continuously operate within dynamic boundaries formed by biological, cognitive, environmental, and historical constraints.

This project seeks to build the technical foundations required to formalize DCB through mathematical representation and computational modeling. The current phase focuses on capacity building, technical skill development, conceptual refinement, and the creation of initial formal models.

What are this project's goals? How will you achieve them?

The primary goal of this project is to transition DCB from a conceptual framework into a formal research program.

Objectives:

Refine and document the core concepts of DCB.

Identify key variables and relationships within the framework.

Develop preliminary mathematical representations.

Learn programming and modeling skills necessary for computational simulation.

Build initial prototype simulations that explore adaptive behavior under changing constraints.

12-Month Timeline

Months 1–3:

Research setup and workspace preparation.

Literature review on complex systems, adaptive systems, and computational modeling.

Learn Python fundamentals and research workflows.

Months 4–6:

Develop mathematical foundations.

Define formal variables and relationships within DCB.

Produce the first formalization draft.

Months 7–9:

Continue programming development.

Construct computational representations of selected DCB concepts.

Develop prototype models.

Months 10–12:

Conduct initial simulation experiments.

Refine conceptual and mathematical models.

Publish documentation and prepare future research plans.

How will this funding be used?

Research Laptop: $850

Internet Access (12 months): $300

Books and Research Materials: $200

Basic Research Workspace (desk and chair): $150

Research Time Support: $1,000

Total Funding Target: $2,500

The purpose of this funding is not to immediately produce a complete simulation, but to establish the technical foundation required for future formalization and computational modeling.

Who is on your team? What's your track record on similar projects?

This project is currently conducted by a single independent researcher based in Indonesia.

Over the past several years, I have developed the conceptual foundations of Dynamic Constraint Boundary (DCB) through self-directed study and writing. The project includes publicly documented work on state-space taxonomy, non-action as active causality, cumulative feedback dynamics, boundary plasticity, and adaptive constraints.

Research materials and project documents are publicly available through the Open Science Framework (OSF).

What are the most likely causes and outcomes if this project fails?

The most likely challenge is the difficulty of translating conceptual ideas into rigorous mathematical and computational models.

Even if the project does not achieve a complete simulation, the research will still generate valuable outputs, including public documentation, conceptual refinement, clearer definitions, formal variable identification, and a better understanding of the framework’s limitations.

As a result, the project would still contribute useful knowledge and publicly accessible research materials.

How much money have you raised in the last 12 months, and from where?

I have not raised any external funding for this project during the last 12 months.

The research and documentation conducted so far have been developed independently without grant support or institutional funding.