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.
@inproceedings(Faulkner-2017-ssAChem, author = "Penelope Faulkner and Mihail Krastev and Angelika Sebald and Susan Stepney", title = "Sub-Symbolic Artificial Chemistries", pages = "287-322", crossref = "JFM-festschrift-2018" ) @proceedings(JFM-festschrift-2018, editor = "Susan Stepney and Andrew Adamatzky", title = "Inspired by Nature", booktitle = "Inspired by Nature", publisher = "Springer", year = 2018 )