Interaction Output, as the capstone of the CAS-6 framework, reorients AI language models from token prediction to interpretive construction. By situating meaning on a dynamic continuum and integrating cultural, emotional, and metaphorical dimensions, CAS-6 opens pathways for creating language models that are not only fluent, but deeply meaningful, expressive, and culturally attuned.
This semantic expressiveness marks a crucial leap toward truly human-like language understanding in artificial intelligence systems.
4. Use Case: "Air", "Mata", "Buaya"
To demonstrate the practical value of the CAS-6 framework, we present a focused use case involving three polysemous and culturally rich words in the Indonesian language: "air" (water), "mata" (eye), and "buaya" (crocodile). These words exhibit rich semantic interactions, both literal and metaphorical, making them ideal candidates for testing the framework's ability to disambiguate, synthesize, and interpret complex word interactions.
A. Semantic Interaction Table: Combinatorial Output Mapping
We explore how CAS-6 dimensions interact to produce different outputs from word combinations. The table below summarizes several selected combinations, their dominant CAS-6 parameters, and the resulting output type and interpretation.
B. Analytical Highlights
High Stability Combinations like "air mata" and "mata air" represent culturally reinforced literal-connotative dualities. CAS-6 captures both physical and emotional resonance by high values in probability and stability dimensions.
Idiomatically Charged Constructs like "air mata buaya" cannot be interpreted purely through compositional semantics. CAS-6's metaphor weighting and stability layering allows recognition of idioms as semantically inseparable units.
Ambiguity Handling: CAS-6 distinguishes combinations like "mata buaya" (which may be literal but carries low metaphorical salience) from "buaya darat" (which has lost its literal sense entirely).
Emergent Poetic Constructions like "air mata langit" or "mata langit" emerge under low-probability, low-stability but high-weight interactions, indicating an artistic, imaginative zone of output.
C. From Tabular Mapping to Dynamic Simulation
While the table provides discrete examples, a CAS-6-enabled simulation system would dynamically explore combinations and assign them real-time output typologies through evaluation of:
1. Contextual fit in a running paragraph or dialogue.
2. Cultural idiom recognition (e.g., "buaya darat" triggers a stored idiomatic mapping).
3. Stability decay functions (e.g., how quickly metaphoric meaning fades in absence of reinforcing context).
4. Poetic activation thresholds, in which unlikely combinations are permitted under creative or artistic prompts.
