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Computational ecosystems, virtual worlds with life-like agents, offer new artistic and narrative possibilities. This study introduces "system stories" to analyze meaning emergence in these generative systems for enhanced artistic exploration.

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Area of Science:

  • Computational Art
  • Digital Narrative
  • Artificial Life

Background:

  • Generative systems, or computational ecosystems, are virtual worlds where agents interact, emulating biological life cycles and behaviors.
  • These systems are increasingly explored for artistic and narrative expression, presenting unique challenges in authorship and interpretation.

Purpose of the Study:

  • To propose a conceptual framework for understanding computational ecosystems in artistic contexts.
  • To analyze authorship and interpretation processes within these systems.
  • To identify critical instruments for artistic exploration using generative systems.

Main Methods:

  • Formulation of a narrative model termed "system stories."
  • Analysis of dynamic networks of material and conceptual processes within generative artifacts.
  • Exploration of narrative constellations with multiple agencies.

Main Results:

  • A framework for understanding computational ecosystems as narrative devices.
  • Identification of "system stories" as a model characterized by dynamic processes and emergent meaning.
  • Demonstration of emergent meaning and messages from multi-agent interactions.

Conclusions:

  • Computational ecosystems offer a rich domain for artistic creation and narrative exploration.
  • The "system stories" model provides a valuable lens for analyzing meaning in generative art.
  • This understanding expands the artistic language and potential of computational systems.