Abstract
Cellular automata are discrete mathematical models that have been proven useful as representations of a wide variety of systems exhibiting emergent behavior. Detection of emergent behavior is typically computationally expensive as it relies on computer simulations. We propose to specify cellular automata using a suitable Temporal Description Logic and we show that we can formulate queries about the evolution of a cellular automaton as reasoning tasks in this logic.
This work was partially supported by the German Research Foundation (DFG) within the Cluster of Excellence ‘Center for Advancing Electronics Dresden’.
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Delivorias, S., Hatzikirou, H., Peñaloza, R., Walther, D. (2014). Detecting Emergent Phenomena in Cellular Automata Using Temporal Description Logics. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_37
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DOI: https://doi.org/10.1007/978-3-319-11520-7_37
Publisher Name: Springer, Cham
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