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Related Experiment Videos

The role of computation in modeling evolution.

E C Way1

  • 1Department of Philosophy, Program in Philosophy and Computers and Cognitive Science (PACCS), State University of New York at Binghamton, 13902, USA. way@binghamton.edu

Bio Systems
|April 28, 2001
PubMed
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Artificial life (A-Life) research uses computational models to study evolution. This work explores how these models, particularly those with artificial physical worlds, can be interpreted using philosophy of science principles.

Area of Science:

  • Philosophy of Science
  • Artificial Life (A-Life)
  • Computational Modeling

Background:

  • A-Life employs computational and formal systems to investigate evolutionary dynamics.
  • A core challenge in A-Life is understanding the role of computation and interpreting models detached from physical reality.

Discussion:

  • This paper examines how models function in explanation and prediction within the philosophy of science.
  • It applies these philosophical concepts to the domain of Artificial Life.

Key Insights:

  • Explores the interpretation of computational models in A-Life research.
  • Discusses the realization of an epistemic cut within artificial physical worlds in computational models.

Outlook:

Related Experiment Videos

  • Provides a framework for understanding the epistemological status of A-Life models.
  • Integrates philosophical perspectives on modeling with computational approaches to evolution.