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Detecting Emergent Phenomena in Cellular Automata Using Temporal Description Logics
Conference proceeding   Open access  Peer reviewed

Detecting Emergent Phenomena in Cellular Automata Using Temporal Description Logics

Stathis Delivorias, Haralambos Hatzikirou, R Penaloza and Dirk Walther
Cellular Automata: 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014, Krakow, Poland, September 22-25, 2014. Proceedings, Vol.8751, pp.357-366
Lecture Notes in Computer Science, 8751
11th International Conference on Cellular Automata for Research and Industry (ACRI 2014) (Krakow, 22/09/2014 - 25/09/2014)
2014
Handle:
https://hdl.handle.net/10863/32998

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.
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DeHaPeWa-ACRI-14332.16 kBDownloadView
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url
http://link.springer.com/chapter/10.1007/978-3-319-11520-7_37View

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