Generative Relational Economics - Chapter 24: Limits, Open Problems, and the Future of GRE

Generative Relational Economics (GRE) is intended as an open and revisable research programme rather than a closed theoretical system. Such openness requires more than acknowledging uncertainty in general terms. A theory must distinguish the boundaries of its present scope from uncertainty within that scope, identify recurrent limitations and failure conditions, specify evidence capable of defeating its claims, and state when local correction is no longer sufficient and architectural revision becomes necessary. This chapter develops a systematic limitation architecture for GRE and converts that architecture into a positive programme for future inquiry. The chapter begins by distinguishing scope boundaries, uncertainty, limitations, open problems, and failure conditions. It then examines limitations arising from GRE's ontological commitments, epistemic access, manifestation and representation, relational analysis, historical reconstruction, formalization, system closure, heterogeneous value, value conversion and circulation, power, justice, applied praxis, cross-domain transfer, artificial-intelligence-mediated inquiry, empirical identification, and normative underdetermination. Across these domains, the analysis emphasizes that relational priority does not establish relational exhaustiveness; formal precision does not create empirical warrant; generativity does not imply goodness; stability does not imply desirability; value conversion does not establish equivalence; circulation does not imply conservation; asymmetry does not by itself establish power; and well-identified economic structures do not uniquely determine normative conclusions. The chapter further develops explicit empirical and theoretical defeat conditions. GRE claims should be weakened when relational explanations repeatedly fail to outperform serious alternatives, when generativity cannot be distinguished from transfer or reclassification, when proposed conversion mechanisms cannot be identified, when cross-scale bridges fail, when rival explanations demonstrate greater empirical and conceptual adequacy, when cross-domain transfers systematically break down, when findings fail to replicate under preserved scope conditions, or when commitments required for the same conclusion become internally inconsistent. Counterevidence is treated locally at first, but recurrent defeat of claims sharing the same underlying commitment can escalate into programme-level pressure. The chapter therefore distinguishes local correction, scope narrowing, retyping, regionalization, component replacement, architectural revision, coordinated revision, and vocabulary re-foundation. Even foundational terms such as relation, generation, value, conversion, circulation, power, manifestation, field, spacetime, and participation remain revisable analytical infrastructure rather than protected theoretical identity. Major revision becomes appropriate when a shared commitment repeatedly fails across applications and can be preserved only through semantic expansion, asymmetric evidential standards, or accumulating ad hoc exceptions. The final sections transform these limits into a scope-conditioned research programme. Limitations generate research questions, collaboration requirements, adversarial tests, historical revalidation tasks, domain-interface studies, theory-promotion criteria, theory-expiration triggers, and conditions for conceptual retirement. The resulting principle of constructive incompleteness treats unresolved problems, negative results, failed transfers, rival explanations, and current non-claims as positive resources for future inquiry while preserving the possibility that evidence may substantially revise or replace parts of GRE. The chapter therefore presents theoretical fallibility not as a weakness external to GRE, but as part of the architecture through which GRE can remain empirically answe