# AI MusiMuse # 014_COMPOSITION_GOALS.md Version 1.0 --- # Purpose Every composition begins with a goal. The Composer never generates music without intention. Instead, every generated track is driven by one or more compositional goals. These goals guide all later decisions. --- # Philosophy Traditional generators ask "What comes next?" AI MusiMuse asks "What am I trying to achieve?" Generation therefore becomes goal-driven. --- # Goal Hierarchy Every composition contains Global Goals ↓ Section Goals ↓ Local Goals --- # Global Goals Global goals define the entire track. Examples ``` Peaceful meditation Slow evolution Dream-like atmosphere Emotional recovery Growing tension Night journey Infinite space Melancholic reflection ``` These remain active during the entire composition. --- # Section Goals Every section has its own objective. Example ``` Intro ↓ Create curiosity Development ↓ Increase movement Break ↓ Reduce tension Finale ↓ Create emotional release ``` --- # Local Goals Short-lived objectives. Examples ``` Introduce motif Create contrast Increase density Delay climax Prepare transition Return harmony Remove bass Expand texture ``` --- # Goal Stack Goals are maintained as a stack. ``` Global Goal ↓ Current Section Goal ↓ Current Local Goal ``` The Composer always knows which goals are active. --- # Goal Lifetime Goals have duration. Example ``` Increase tension 00:40 ↓ 01:30 ``` After completion, the goal is removed. --- # Goal Completion Every goal has progress. Example ``` Current 58% completed ``` The Composer continuously evaluates progress. --- # Goal Satisfaction Each decision is evaluated by asking ``` Does this help achieve the current goal? ``` If not, another candidate is preferred. --- # Multiple Goals Several goals may coexist. Example ``` Maintain atmosphere + Increase density + Avoid percussion ``` The Composer balances them. --- # Goal Priorities Every goal has ``` priority weight deadline ``` Higher-priority goals dominate lower ones. --- # Goal Conflicts Conflicts may occur. Example ``` Increase energy ↓ Reduce density ``` The Search Engine evaluates possible compromises. --- # Goal Generation Some goals come from User Constraints. Others come from Style Model. Others are generated internally. --- # User Goals Examples ``` Calm Dark Minimal Long Intro No Climax Dreamy Slow Evolution ``` These become permanent goals. --- # Style Goals Examples ``` Return themes frequently Avoid abrupt endings Use gradual transitions Maintain harmonic stability ``` These are learned automatically. --- # Emergent Goals The Composer may create new goals. Example ``` A motif unexpectedly became important. ↓ Create variation. ↓ Return motif later. ``` --- # Goal Tree ``` Create Atmosphere ├── Low Density ├── Soft Harmony ├── Long Pads └── Slow Energy Growth ``` Complex goals are decomposed. --- # Decision Evaluation Every candidate decision receives Goal Contribution Example ``` Decision Increase Density Goal Create Atmosphere Contribution 0.22 ``` Another decision ``` Decision Extend Pad Contribution 0.91 ``` The better decision is selected. --- # Failure Recovery If no decision improves active goals, the Composer may Generate New Goal Modify Goal Abandon Goal Replan --- # Long-Term Planning Goals may span several minutes. Example ``` Prepare climax ↓ 90 seconds ``` The Composer plans ahead. --- # Explainability Every generated event can be explained. Example ``` Pad entered Reason Needed to satisfy Maintain Atmosphere ``` --- # Design Principles Music always has intention. Goals guide decisions. Goals evolve. Goals are explainable. Goals are independent from rendering. --- # Long-Term Goal The AI should eventually compose music with purpose, rather than producing statistically plausible sequences of events.