This research has developed a data-driven creative computing framework that combines micro-iterations of characterprototypes with quantitative control of rhythm density,thereby optimizing the narrative creativity and ...This research has developed a data-driven creative computing framework that combines micro-iterations of characterprototypes with quantitative control of rhythm density,thereby optimizing the narrative creativity and overall productivity ofpipeline short play creation.The system builds an iterative feedback mechanism by transforming qualitative narrativecomponents into computational representations.By linking creative intentions,audience responses and platform performance,the adaptive evolution of character prototypes enhances the authenticity of emotions,and the adjustment of rhythm densitymaintains the coherence and compactness of the narrative rhythm.This model integrates artistic intelligence and algorithmicintelligence,demonstrating how creative adaptability can coexist with platform scalability and operational accuracy.展开更多
文摘This research has developed a data-driven creative computing framework that combines micro-iterations of characterprototypes with quantitative control of rhythm density,thereby optimizing the narrative creativity and overall productivity ofpipeline short play creation.The system builds an iterative feedback mechanism by transforming qualitative narrativecomponents into computational representations.By linking creative intentions,audience responses and platform performance,the adaptive evolution of character prototypes enhances the authenticity of emotions,and the adjustment of rhythm densitymaintains the coherence and compactness of the narrative rhythm.This model integrates artistic intelligence and algorithmicintelligence,demonstrating how creative adaptability can coexist with platform scalability and operational accuracy.
