2010 | OriginalPaper | Buchkapitel
An Artificial Immune System Approach for Artificial Chemistries Based on Set Rewriting
verfasst von : Daniel Schreckling, Tobias Marktscheffel
Erschienen in: Artificial Immune Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
An artificial immune system approach for artificial chemistries (ACs) based on set rewriting methods is introduced. We model signals which are generated by the execution of rewriting rules in the artificial chemistry. They induce signal patterns which trigger a system response. This response is also based on the rewriting rules of the AC. The latter inhibit or accelerate self-reproducing rewriting instructions and eliminate or inhibit non-self rewriting rules in the AC. Exemplarily, the developed artificial immune system model is integrated into the computational model of Fraglets, an AC which is based on multiset rewriting. Experimental results show the feasibility of this approach.