Sub-Symbolic Artificial Chemistries

Penelope Selina Margaret Faulkner; Mihail Svilenov Krastev; Angelika Anne-Marie Sebald; Susan Stepney

doi:10.1007/978-3-319-67997-6_14

Sub-Symbolic Artificial Chemistries

Penelope Selina Margaret Faulkner, Mihail Svilenov Krastev, Angelika Anne-Marie Sebald, Susan Stepney

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

We wish to use Artificial Chemistries to build and investigate open-ended systems. As such, we wish to minimise the number of explicit rules and properties needed. We describe here the concept of sub-symbolic Artificial Chemistries (ssAChems), where reaction properties are emergent properties of the internal structure and dynamics of the component particles. We define the components of a ssAChem, and illustrate it with two examples: RBN-world, where the particles are Random Boolean Networks, the emergent properties come from the dynamics on an attractor cycle, and composition is through rewiring the components to form a larger RBN; and SMAC, where the particles are Hermitian matrices, the emergent properties are eigenvalues and eigenvectors, and composition is through the non-associative Jordan product. We conclude with some ssAChem design guidelines.

Original language	English
Title of host publication	Inspired by Nature
Publisher	Springer
Pages	287-322
Number of pages	36
DOIs	https://doi.org/10.1007/978-3-319-67997-6_14
Publication status	Published - 27 Oct 2017

Access to Document

10.1007/978-3-319-67997-6_14

Cite this

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title = "Sub-Symbolic Artificial Chemistries",

abstract = "We wish to use Artificial Chemistries to build and investigate open-ended systems. As such, we wish to minimise the number of explicit rules and properties needed. We describe here the concept of sub-symbolic Artificial Chemistries (ssAChems), where reaction properties are emergent properties of the internal structure and dynamics of the component particles. We define the components of a ssAChem, and illustrate it with two examples: RBN-world, where the particles are Random Boolean Networks, the emergent properties come from the dynamics on an attractor cycle, and composition is through rewiring the components to form a larger RBN; and SMAC, where the particles are Hermitian matrices, the emergent properties are eigenvalues and eigenvectors, and composition is through the non-associative Jordan product. We conclude with some ssAChem design guidelines.",

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