Reflective frameworks for self-modifying open-ended systems

Develop methods using reflective, interpreted programming languages (e.g., Python) to generate dynamic models of open-ended systems and design a dynamic metalanguage capable of generating dynamic languages, thereby enabling fully self-modifying computational systems with analyzable behavior.

Background

The authors argue that open-endedness, defined as continual production of type-1 and type-2 novelties, requires models and metamodels that can change during execution. Traditional mathematical and programming tools are largely static and not designed for self-modification.

They propose computational reflection as a route to dynamically generating and modifying code at runtime but note that both practical methodologies and higher-level metalanguage mechanisms to support such systems remain unresolved.