Artificial Life
By Chris Langton. 2019
146 citations recorded by the source corpus.
From the Publisher: Artificial life, a field that seeks to increase the role of synthesis in the study of biological phenomena, has great potential, both for unlocking the secrets of life and for raising a host of disturbing issues -- scientific and technical as well as philosophical and ethical. This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life, along with a new introduction by Christopher Langton, Editor-in-Chief of Artificial Life, founder of the discipline, and Director of the Artificial Life Program at the Santa Fe Institute.
Subfields: Astronomy and Astrophysics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
- Antoine Cully
- Kenneth O. Stanley
- Jeff Clune
- Risto Miikkulainen
- Frank Hutter
- Hod Lipson
- J. Losos
- N. Butterfield
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “This endeavor is the domain of fields such as artificial intelligence (AI) and artificial life (AL) (Langton, 1997) that seek the emergence of intelligence and life from artificially designed computation: the idea is to abstract the principles from the medium, i.”
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018, positive): “Typically, digital evolution systems and experiments of this sort do not serve a direct engineering purpose, but are instead used as a tool to study principles of life and evolution in an easier setting than natural biology; that is, they provide artificial life model systems for use in experimental”
- Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “And in fact, until fairly recently, evolution was the only such mindless process known to create self-organizing, well-adapted models of the world (Langton, 1995; Bedau, 2003).”
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence (2019, background): “Much work has occurred in the fields of computational evolutionary biology, artificial life, and neuroevolution attempting to investigate how to create an open-ended complexity explosion like the one that occurred with living animals on Earth [99, 172, 13, 88, 138, 17, 162, 2, 183, 70, 86, 85, 167, ”
- Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents (2019, unknown): “Artificial Life and Multiagent Reinforcement Learning Research in “Artificial life” aims to model evolution and natural selection in biological life; (Langton, 1997; Ficici & Pollack, 1998).”