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Relevant bibliographies by topics / Cellular automata

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Academic literature on the topic 'Cellular automata'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Journal articles on the topic "Cellular automata"

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Mardiris, Vassilios A., Georgios Ch Sirakoulis, and Ioannis G. Karafyllidis. "Automated Design Architecture for 1-D Cellular Automata Using Quantum Cellular Automata." IEEE Transactions on Computers 64, no. 9 (September 1, 2015): 2476–89. http://dx.doi.org/10.1109/tc.2014.2366745.

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Jung, Goeun, and Youngho Kim. "Modeling of Spatio-temporal changes of Urban Sprawl in Jeju-island: Using CA (Cellular Automata) and ARD (Automatic Rule Detection)." Journal of the Association of Korean Geographers 10, no. 1 (April 30, 2021): 139–52. http://dx.doi.org/10.25202/jakg.10.1.9.

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Hasanzadeh Mofrad, Mohammad, Sana Sadeghi, Alireza Rezvanian, and Mohammad Reza Meybodi. "Cellular edge detection: Combining cellular automata and cellular learning automata." AEU - International Journal of Electronics and Communications 69, no. 9 (September 2015): 1282–90. http://dx.doi.org/10.1016/j.aeue.2015.05.010.

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Bhardwaj, Rupali, and Anil Upadhyay. "Cellular Automata." Journal of Organizational and End User Computing 29, no. 1 (January 2017): 42–50. http://dx.doi.org/10.4018/joeuc.2017010103.

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Cellular automata (CA) are discrete dynamical systems consist of a regular finite grid of cell; each cell encapsulating an equal portion of the state, and arranged spatially in a regular fashion to form an n-dimensional lattice. A cellular automata is like computers, data represented by initial configurations which is processed by time evolution to produce output. This paper is an empirical study of elementary cellular automata which includes concepts of rule equivalence, evolution of cellular automata and classification of cellular automata. In addition, explanation of behaviour of cellular automata is revealed through example.

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Bandini, S. "Cellular automata." Future Generation Computer Systems 18, no. 7 (August 2002): v—vi. http://dx.doi.org/10.1016/s0167-739x(02)00067-5.

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Kutrib, Martin, Roland Vollmar, and Thomas Worsch. "Cellular automata." Parallel Computing 23, no. 11 (November 1997): 1565. http://dx.doi.org/10.1016/s0167-8191(97)82081-9.

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Schöfisch, B., and K. P. Hadeler. "Dimer automata and cellular automata." Physica D: Nonlinear Phenomena 94, no. 4 (July 1996): 188–204. http://dx.doi.org/10.1016/0167-2789(96)00039-5.

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Dennunzio, Alberto, Pierre Guillon, and Benoît Masson. "Sand automata as cellular automata." Theoretical Computer Science 410, no. 38-40 (September 2009): 3962–74. http://dx.doi.org/10.1016/j.tcs.2009.06.016.

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Allouche, J. P., F. V. Haeseler, E. Lange, A. Petersen, and G. Skordev. "Linear cellular automata and automatic sequences." Parallel Computing 23, no. 11 (November 1997): 1577–92. http://dx.doi.org/10.1016/s0167-8191(97)00074-4.

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Sutner, Klaus. "Linear cellular automata and Fischer automata." Parallel Computing 23, no. 11 (November 1997): 1613–34. http://dx.doi.org/10.1016/s0167-8191(97)00080-x.

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Dissertations / Theses on the topic "Cellular automata"

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Collins, Sean. "Interactive cellular automata." Thesis, Lancaster University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435877.

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Epperlein, Jeremias. "Topological Conjugacies Between Cellular Automata." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-231823.

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We study cellular automata as discrete dynamical systems and in particular investigate under which conditions two cellular automata are topologically conjugate. Based on work of McKinsey, Tarski, Pierce and Head we introduce derivative algebras to study the topological structure of sofic shifts in dimension one. This allows us to classify periodic cellular automata on sofic shifts up to topological conjugacy based on the structure of their periodic points. We also get new conjugacy invariants in the general case. Based on a construction by Hanf and Halmos, we construct a pair of non-homeomorphic subshifts whose disjoint sums with themselves are homeomorphic. From this we can construct two cellular automata on homeomorphic state spaces for which all points have minimal period two, which are, however, not topologically conjugate. We apply our methods to classify the 256 elementary cellular automata with radius one over the binary alphabet up to topological conjugacy. By means of linear algebra over the field with two elements and identities between Fibonacci-polynomials we show that every conjugacy between rule 90 and rule 150 cannot have only a finite number of local rules. Finally, we look at the sequences of finite dynamical systems obtained by restricting cellular automata to spatially periodic points. If these sequences are termwise conjugate, we call the cellular automata conjugate on all tori. We then study the invariants under this notion of isomorphism. By means of an appropriately defined entropy, we can show that surjectivity is such an invariant.

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Rakotomalala, Livaniaina Hary. "Network Decontamination Using Cellular Automata." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34095.

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We consider the problem of decontaminating a network where all nodes are infected by a virus. The decontamination strategy is performed using a Cellular Automata (CA) model in which each node of the network is represented by the automata cell and thus, the network host status is also mapped to the CA state (contaminated, decontaminating, decontaminated). All hosts are assumed to be initially contaminated and the status of each cell is synchronously updated according to a set of local rules, based on the state of its neighbourhood. Our goal is to find the set of local rules that will accomplish the decontamination in an optimal way. The metrics used to define optimality is the minimization of three metrics: the maximum number of decontaminating cells at each step, the required value of the immunity time of each cell and the number of steps to complete the sanitization algorithm. In our research, we explore the designing of these local decontamination rules by refining the concept of the neighbourhood radius of CA with the addition of two new dimensions: Visibility Hop and Contamination Distance. Additionally, a research tool that help us manage our study have been developed.

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Weimar, Jorg Richard. "Cellular automata for reactive systems." Doctoral thesis, Universite Libre de Bruxelles, 1995. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212557.

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Deng, Mingyuan. "Programmable cellular automata for cryptosystems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39137.pdf.

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Serquera, Jaime. "Sound synthesis with cellular automata." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1189.

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This thesis reports on new music technology research which investigates the use of cellular automata (CA) for the digital synthesis of dynamic sounds. The research addresses the problem of the sound design limitations of synthesis techniques based on CA. These limitations fundamentally stem from the unpredictable and autonomous nature of these computational models. Therefore, the aim of this thesis is to develop a sound synthesis technique based on CA capable of allowing a sound design process. A critical analysis of previous research in this area will be presented in order to justify that this problem has not been previously solved. Also, it will be discussed why this problem is worthwhile to solve. In order to achieve such aim, a novel approach is proposed which considers the output of CA as digital signals and uses DSP procedures to analyse them. This approach opens a large variety of possibilities for better understanding the self-organization process of CA with a view to identifying not only mapping possibilities for making the synthesis of sounds possible, but also control possibilities which enable a sound design process. As a result of this approach, this thesis presents a technique called Histogram Mapping Synthesis (HMS), which is based on the statistical analysis of CA evolutions by histogram measurements. HMS will be studied with four different automatons, and a considerable number of control mechanisms will be presented. These will show that HMS enables a reasonable sound design process. With these control mechanisms it is possible to design and produce in a predictable and controllable manner a variety of timbres. Some of these timbres are imitations of sounds produced by acoustic means and others are novel. All the sounds obtained present dynamic features and many of them, including some of those that are novel, retain important characteristics of sounds produced by acoustic means.

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Powley, Edward Jack. "Global properties of cellular automata." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516655.

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Clewlow, Les. "Cellular automata and dynamical systems." Thesis, University of Warwick, 1989. http://wrap.warwick.ac.uk/4233/.

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In this thesis we investigate the theoretical nature of the mathematical structures termed cellular automata. Chapter 1: Reviews the origin and history of cellular automata in order to place the current work into context. Chapter 2: Develops a cellular automata framework which contains the main aspects of cellular automata structure which have appeared in the literature. We present a scheme for specifying the cellular automata rules for this general model and present six examples of cellular automata within the model. Chapter 3: Here we develop a statistical mechanical model of cellular automata behaviour. We consider the relationship between variations within the model and their relationship to dynamical systems. We obtain results on the variance of the state changes, scaling of the cellular automata lattice, the equivalence of noise, spatial mixing of the lattice states and entropy, synchronous and asynchronous cellular automata and the equivalence of the rule probability and the time step of a discrete approximation to a dynamical system. Chapter 4: This contains an empirical comparison of cellular automata within our general framework and the statistical mechanical model. We obtain results on the transition from limit cycle to limit point behaviour as the rule probabilities are decreased. We also discuss failures of the statistical mechanical model due to failure of the assumptions behind it. Chapter 5: Here a practical application of the preceding work to population genetics is presented. We study this in the context of some established population models and show it may be most useful in the field of epidemiology. Further generalisations of the statistical mechanical and cellular automata models allow the modelling of more complex population models and mobile populations of organisms. Chapter 6: Reviews the results obtained in the context of the open questions introduced in Chapter 1. We also consider further questions this work raises and make some general comments on how these may apply to related fields.

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Slotta, Douglas J. "Structural Design Using Cellular Automata." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33368.

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Traditional parallel methods for structural design do not scale well. This thesis discusses the application of massively scalable cellular automata (CA) techniques to structural design. There are two sets of CA rules, one used to propagate stresses and strains, and one to perform design analysis. These rules can be applied serially, periodically, or concurrently, and Jacobi or Gauss-Seidel style updating can be done. These options are compared with respect to convergence, speed, and stability.<br>Master of Science

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Betel, Heather. "Properties and Behaviours of Fuzzy Cellular Automata." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22858.

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Cellular automata are systems of interconnected cells which are discrete in space, time and state. Cell states are updated synchronously according to a local rule which is dependent upon the current state of the given cell and those of its neighbours in a pre-defined neighbourhood. The local rule is common to all cells. Fuzzy cellular automata extend this notion to systems which are discrete in space and time but not state. In this thesis, we explore fuzzy cellular automata which are created from the extension of Boolean rules in disjunctive normal form to continuous functions. Motivated by recent results on the classification of these rules from empirical evidence, we set out first to show that fuzzy cellular automata can shed some light on classical cellular automata and then to prove that the observed results are mathematically correct. The main results of this thesis can be divided into two categories. We first investigate the links between fuzzy cellular automata and their Boolean counter-parts. We prove that number conservation is preserved by this transformation. We further show that Boolean additive cellular automata have a definable property in their fuzzy form which we call self-oscillation. We then give a probabilistic interpretation of fuzzy cellular automata and show that homogeneous asymptotic states are equivalent to mean field approximations of Boolean cellular automata. We then turn our attention the asymptotic behaviour of fuzzy cellular automata. In the second half of the thesis we investigate the observed behaviours of the fuzzy cellular automata derived from balanced Boolean rules. We show that the empirical results of asymptotic behaviour are correct. In fuzzy form, the balanced rules can be categorized as one of three types: weighted average rules, self-averaging rules, and local majority rules. Each type is analyzed in a variety of ways using a range of tools to explain their behaviours.

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Books on the topic "Cellular automata"

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Chopard, Bastien, Stefania Bandini, Alberto Dennunzio, and Mira Arabi Haddad, eds. Cellular Automata. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14926-9.

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Mauri, Giancarlo, Samira El Yacoubi, Alberto Dennunzio, Katsuhiro Nishinari, and Luca Manzoni, eds. Cellular Automata. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99813-8.

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Bandini, Stefania, Bastien Chopard, and Marco Tomassini, eds. Cellular Automata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45830-1.

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Sirakoulis, Georgios Ch, and Stefania Bandini, eds. Cellular Automata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33350-7.

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Bandini, Stefania, Sara Manzoni, Hiroshi Umeo, and Giuseppe Vizzari, eds. Cellular Automata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15979-4.

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El Yacoubi, Samira, Jaroslaw Wąs, and Stefania Bandini, eds. Cellular Automata. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44365-2.

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Schiff, Joel L. Cellular Automata. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9781118032381.

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Delorme, M., and J. Mazoyer, eds. Cellular Automata. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9153-9.

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Umeo, Hiroshi, Shin Morishita, Katsuhiro Nishinari, Toshihiko Komatsuzaki, and Stefania Bandini, eds. Cellular Automata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79992-4.

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Wąs, Jarosław, Georgios Ch Sirakoulis, and Stefania Bandini, eds. Cellular Automata. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11520-7.

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Book chapters on the topic "Cellular automata"

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Formenti, Enrico, and Petr Kůrka. "Dynamics of Cellular Automata in Noncompact Spaces." In Cellular Automata, 323–35. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_138.

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Cervelle, Julien, and Enrico Formenti. "Algorithmic Complexity and Cellular Automata." In Cellular Automata, 459–77. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_17.

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Pivato, Marcus. "Ergodic Theory of Cellular Automata." In Cellular Automata, 373–418. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_178.

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Cenek, Martin, and Melanie Mitchell. "Evolving Cellular Automata." In Cellular Automata, 543–54. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_191.

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Umeo, Hiroshi. "Firing Squad Synchronization Problem in Cellular Automata." In Cellular Automata, 583–639. New York, NY: Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-8700-9_211.

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Bays, Carter. "Gliders in Cellular Automata." In Cellular Automata, 261–73. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_249.

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Gravner, Janko. "Growth Phenomena in Cellular Automata." In Cellular Automata, 291–308. New York, NY: Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-8700-9_266.

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Adamatzky, Andrew. "Identification of Cellular Automata." In Cellular Automata, 733–47. New York, NY: Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-8700-9_280.

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Voorhees, Burton. "Additive Cellular Automata." In Cellular Automata, 129–51. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_4.

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Boccara, Nino. "Phase Transitions in Cellular Automata." In Cellular Automata, 705–18. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4939-8700-9_405.

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Conference papers on the topic "Cellular automata"

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Stepantsov, Mikhail Evgenievich. "Cellular automata as mathematical models." In 7th International Conference “Futurity designing. Digital reality problems”, 244–50. Keldysh Institute of Applied Mathematics, 2024. http://dx.doi.org/10.20948/future-2024-6-1.

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The paper considers using cellular automata as mathematical models to solve problems based on differential equations. The convergence of the solution obtained using a cellular automaton to the solution of the original differential equation has been proven for a class of problems used in socio-economic modeling. We discuss the applicability of cellular automata in such problems.

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Perdang, J. M., and A. Lejeune. "Cellular Automata." In Workshop on Cellular Automata Models for Astrophysical Phenomena. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814535908.

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Andreica, Anca. "Cellular Automata Applications." In 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2019. http://dx.doi.org/10.1109/synasc49474.2019.00008.

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Zhang, Chao, and Hessam S. Sarjoughian. "Cellular Automata DEVS." In SIMUTOOLS '17: 10th EAI International Conference on Simulation Tools and Techniques. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3173519.3173534.

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"Bondable cellular automata." In ECAL 2011: The 11th European Conference on Artificial Life. MIT Press, 2011. http://dx.doi.org/10.7551/978-0-262-29714-1-ch051.

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Ashlock, Daniel, and Carolyn Pugh. "Evolutionary cellular automata bonsai." In 2013 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2013. http://dx.doi.org/10.1109/cec.2013.6557587.

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Dantchev, Stefan. "Dynamic Neighbourhood Cellular Automata." In Visions of Computer Science - BCS International Academic Conference. BCS Learning & Development, 2008. http://dx.doi.org/10.14236/ewic/vocs2008.6.

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Demény, Mária, Géza Horváth, Csaba Nagylaki, and Zoltán Nagylaki. "Visualization of Cellular Automata." In Proceedings of the International Colloquium. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704979_0011.

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Bernstein, Gary H. "Quantum-dot cellular automata." In the 40th conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/775832.775900.

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Pulecio, Javier F., and Sanjukta Bhanja. "Magnetic Cellular Automata wires." In 2009 IEEE Nanotechnology Materials and Devices Conference (NMDC). IEEE, 2009. http://dx.doi.org/10.1109/nmdc.2009.5167576.

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Reports on the topic "Cellular automata"

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Orhai, Max. Cellular Automata as Cellular Spaces. Portland State University Library, January 2014. http://dx.doi.org/10.15760/honors.90.

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Srinivasan, Krishna Kannan, Jordan Donovan, and Connor Harrigan. Innovations of cellular automata. Engineer Research and Development Center (U.S.), October 2024. http://dx.doi.org/10.21079/11681/49437.

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In the past several years, there has been a rather substantial uptick in the amount of research within the realm of cellular automata due to its ability to produce complex, self-organizing behavior from simplistic rulesets. The capability to produce this behavior is essential to understanding artificial life and intelligence. This uptick has resulted in numerous novel directions for experimentation within this computational playground. This work summarizes a few of the most impactful directions that have resulted from this research.

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Meyer, David A. Knot Invariants and Cellular Automata. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada264199.

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Jen, E., R. Das, and C. E. Beasley. Particles and Patterns in Cellular Automata. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/763243.

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Dress, W. B., T. Zacharia, and B. Radhakrishnan. Cellular automata modeling of weld solidification structure. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/244608.

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Cenek, Martin. Information Processing in Two-Dimensional Cellular Automata. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.275.

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Bocchese, Giacomo. Emergent Models: Machine Learning from Cellular Automata. ResearchHub Technologies, Inc., April 2025. https://doi.org/10.55277/researchhub.70e8enig.

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Johnson, Mark. Dynamic Scaling in Cellular Automata Simulations of Deposition Processes. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada375200.

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Crutchfield, J. P., and M. Mitchell. Evolving cellular automata to perform computations. Final technical report. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/584960.

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Meisel, Lawrence V., and Mark A. Johnson. Fractal Scaling in Cellular Automata Simulations of Dissipative Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada315392.

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