Cited by 49Origins and Evolution of LifeCellular Automata and ApplicationsDNA and Biological Computing

The DOI matches its Crossref record.

Artificial Chemistries

Banzhaf, Wolfgang, Yamamoto, Lidia·2015·The MIT Press eBooks

Abstract

An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.

Overview

Integrity signals

Registry

Crossref · 10.7551/mitpress/9780262029438.001.0001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • An algorithmic reaction system can be built using abstract symbols, binary strings, numbers or even proofs.

    “An algorithmic reaction system can be built using abstract symbols, binary strings, numbers or even proofs [302,321].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [321]

Citations

Cited by

Sorted by citations

Metadata

Authors
Banzhaf, W., & Yamamoto, L.
Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2015-07-03
OpenAlex
W4229491797
Cited by
49
References
0
Citations by year
2025: 3 · 2024: 8 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 9 · 2019: 7 · 2018: 3 · 2017: 3 · 2016: 1
FWCI
2.61
Type
book
Language
en
Open access
closed
Locations
The MIT Press eBooks (publishedVersion)
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
  • Physical Sciences › Mathematics › Theoretical Computer Science › DNA and Biological Computing
Keywords
artificial chemistry, artificial life, origin of life, chemical reaction systems, emergence of order, multi-agent systems, evolution mechanism, synthetic life

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review