Deferred Semantic Binding Language

Abstract

Deferred Semantic Binding Language (DSBL) is a late-binding abstraction layer that keeps symbols semantically dormant until runtime context (e.g., actor identity, timing, and social state) binds them. While Deferred Semantic Binding Language can drive any context-sensitive policy object, this work instantiates it in a voting-based social immune system. A token such as ⟦VOTE:promote⟧ becomes a policy object whose effect adapts to circumstance.

DSBL is validated through a multi-agent social immune system that senses promotional pressure and retunes agent behavior to maintain balance. Across 90 runs encompassing 5 400 voting events, the mechanism consistently restored equilibrium while still allowing natural social dynamics.

Contributions.

1. the DSBL framework for context-dependent semantics;
2. a closed-loop demonstration of DSBL in a social immune system; and
3. empirical evidence that deferred binding supports fairness while preserving safety.

Treating binding time as an explicit design choice and linking semantic checks to consensus mechanisms, DSBL combines symbolic AI, language models, and policy gating in a single, testable system. The findings suggest that deferring symbol binding may represent an important dimension for large-scale cooperation alongside traditional scaling approaches.