Initial commit: 2125_GCE project

This commit is contained in:
GlyphRunner System
2026-07-09 12:54:44 -04:00
parent c3a826b65c
commit ae13f78c22
299 changed files with 124289 additions and 1031 deletions
+6 -36
View File
@@ -7,42 +7,12 @@
"main": 0
},
"instructions": [
{ "op": "LOG", "args": ["=== XIC v1.5 Glyph Resonance Awareness Demo ==="] },
{ "op": "SET_MODE", "args": ["symbolic"] },
{ "op": "LOG", "args": ["Mode set to: symbolic"] },
{ "op": "SET_CONTEXT", "args": ["domain", "cognitive_science"] },
{ "op": "SET_CONTEXT", "args": ["style", "analytical"] },
{ "op": "SET_CONTEXT", "args": ["depth", "comprehensive"] },
{ "op": "LOG", "args": ["Context configured for glyph-aware cognition"] },
{ "op": "CHAIN", "args": ["resonance_analysis_1"] },
{ "op": "LOG", "args": ["Entering chain: resonance_analysis_1"] },
{ "op": "CALL_GLYPH", "args": ["glyph://compression_theory", "Explain compression as a fundamental cognitive principle. Focus on its role in knowledge representation, information theory, and neural processing."] },
{ "op": "LOG", "args": ["CALL_GLYPH completed for glyph://compression_theory"] },
{ "op": "LOG", "args": ["=== Querying Resonance Metrics ==="] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://compression_theory", "report"] },
{ "op": "LOG", "args": ["Generated full resonance report"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://compression_theory", "global"] },
{ "op": "LOG", "args": ["Retrieved global resonance score"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://compression_theory", "dominant"] },
{ "op": "LOG", "args": ["Retrieved top 5 dominant glyphs"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://compression_theory", "weight"] },
{ "op": "LOG", "args": ["Retrieved weight metric"] },
{ "op": "CHAIN", "args": ["resonance_analysis_2"] },
{ "op": "LOG", "args": ["Entering chain: resonance_analysis_2"] },
{ "op": "CALL_GLYPH", "args": ["glyph://neural_dynamics", "How do neural networks compress and represent information? What are the parallels with linguistic compression?"] },
{ "op": "LOG", "args": ["CALL_GLYPH completed for glyph://neural_dynamics"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://neural_dynamics", "report"] },
{ "op": "LOG", "args": ["Retrieved resonance report for neural_dynamics glyph"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://neural_dynamics", "lineage"] },
{ "op": "LOG", "args": ["Retrieved lineage score"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://neural_dynamics", "contributor"] },
{ "op": "LOG", "args": ["Retrieved contributor score"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://neural_dynamics", "frequency"] },
{ "op": "LOG", "args": ["Retrieved frequency score"] },
{ "op": "GET_GLYPH_RESONANCE", "args": ["glyph://neural_dynamics", "grammar"] },
{ "op": "LOG", "args": ["Retrieved grammar score"] },
{ "op": "LOG", "args": ["=== Resonance Analysis Complete ==="] },
{ "op": "LOG", "args": ["All glyph resonance metrics extracted and stored"] },
{ "op": "LOG", "args": ["Program exit: success"] }
{ "op": "PUSH_GLYPH_CONTEXT", "args": ["G001"] },
{ "op": "PUSH_GLYPH_CONTEXT", "args": ["G010"] },
{ "op": "PUSH_GLYPH_CONTEXT", "args": ["G100"] },
{ "op": "CALL_GLYPH", "args": ["G001", "Compute glyph resonance"] },
{ "op": "GET_GLYPH_RESONANCE", "args": [] },
{ "op": "CLEAR_GLYPH_CONTEXT", "args": [] }
]
}