By the same authors

Tuning Jordan Algebra Artificial Chemistries with Probability Spawning Functions

Research output: Contribution to conferencePaper

Full text download(s)

Author(s)

Department/unit(s)

Conference

ConferenceEuropean Conference on Artificial Life 2017
Abbreviated titleecal 2017
CountryFrance
CityLyon
Conference date(s)4/09/178/09/17

Publication details

DatePublished - Sep 2017
Original languageEnglish

Abstract

Natural chemistry deals with non-deterministic processes, and this is reflected in some artificial chemistries. We can tune these artificial systems by manipulating the functions that define their probabilistic processes. In this work we consider different probabilistic functions for particle linking, applied to our Jordan Algebra Artificial Chemistry. We use five base functions and their variations to investigate the possible behaviours of the system, and try to connect those behaviours to different traits of the functions. We find that, while some correlations can be seen, there are unexpected behaviours that we cannot account for in our current analysis. While we can set and manipulate the probabilities in our system, it is still complex and still displays emergent behaviour that we can not fully control.

Bibliographical note

© 2017, The Author(s).

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations