This paper introduces Asɛmpayɛtsia, an Afrocentric compositional framework derived from Ghanaian-Akan-Mfantse folklore (Kodzi), as a new model for computational creativity. Developed through artistic research in music and audiovisual composition, the framework proposes a Triadic Process of Artistic Translation—cultural excavation, compositional translation, and audiovisual reinscription—as a generative system through which intangible heritage can inform artificial intelligence–based creative processes. Inspired by UNESCO’s 2003 Convention on the Safeguarding of Intangible Cultural Heritage, the Fourth Industrial Revolution, and the African Union’s Agenda 2063 (Aspiration 5), Asɛmpayɛtsia redefines African cultural forms as dynamic creative algorithms rather than archival artifacts. The paper maps the logic of oral reasoning, cyclical temporality, and communal improvisation in Akan epistemology, or artistic reasoning, onto computational principles of iteration, recursion, and emergence. By reframing indigenous artistic cognition as a computational aesthetic model, this work contributes to current discourses on Decolonial AI and Cultural Computation, offering an alternative to Eurocentric paradigms of generative art and music. Ultimately, Asɛmpayɛtsia positions artistic research as a method for designing AI systems that think with—rather than about—African heritage, advancing new possibilities for intercultural creativity and algorithmic imagination.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image

  • Nana Amowee Dawson

摘要

This paper introduces Asɛmpayɛtsia, an Afrocentric compositional framework derived from Ghanaian-Akan-Mfantse folklore (Kodzi), as a new model for computational creativity. Developed through artistic research in music and audiovisual composition, the framework proposes a Triadic Process of Artistic Translation—cultural excavation, compositional translation, and audiovisual reinscription—as a generative system through which intangible heritage can inform artificial intelligence–based creative processes. Inspired by UNESCO’s 2003 Convention on the Safeguarding of Intangible Cultural Heritage, the Fourth Industrial Revolution, and the African Union’s Agenda 2063 (Aspiration 5), Asɛmpayɛtsia redefines African cultural forms as dynamic creative algorithms rather than archival artifacts. The paper maps the logic of oral reasoning, cyclical temporality, and communal improvisation in Akan epistemology, or artistic reasoning, onto computational principles of iteration, recursion, and emergence. By reframing indigenous artistic cognition as a computational aesthetic model, this work contributes to current discourses on Decolonial AI and Cultural Computation, offering an alternative to Eurocentric paradigms of generative art and music. Ultimately, Asɛmpayɛtsia positions artistic research as a method for designing AI systems that think with—rather than about—African heritage, advancing new possibilities for intercultural creativity and algorithmic imagination.