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Mind, Machine, and Creativity: An Artist's Perspective.

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Philosophy of Mind

Background:

  • Harold Cohen's AI art program, AARON, sparks debate on machine creativity.
  • Cohen distinguishes human creativity as relational, not computational.

Purpose of the Study:

  • To explore the intersection of mind, machine, and creativity.
  • To analyze Cohen's perspective on artificial intelligence and human cognition.

Main Methods:

  • Analysis of Harold Cohen's talks and writings.
  • Application of three relational models of the mind.

Main Results:

  • Cohen's critique highlights the limitations of computational models for AI creativity.
  • Relational models offer a framework for understanding human-centric creativity.

Conclusions:

  • Human creativity may stem from relational aspects of cognition, distinct from AI's computational processes.
  • Further research into relational models can deepen understanding of AI and human creativity.