CURRENT BIBLIOGRAPHY

Updated Sept. 18, 2019

This bibliography lists scholarly works referring to A New Kind of Science. Note that there can be a delay of a year or more before we become aware of items.

Please send us copies or information about any other relevant works that refer to A New Kind of Science. (Do not send material you consider proprietary.)

For discussion about material in works listed here, visit the NKS Community Group.

See Media Coverage for news, reviews, and interview publications.

Nontextual items such as art works are not included in this bibliography. For information on art works, see the NKS 2004 Art Gallery.

 

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Aaronson, S. “Multilinear Formulas and Skepticism of Quantum Computing.” In Proceedings of the Thirty-Sixth Annual ACM Symposium on Theory of Computing, 118-127, 2004. [ online version ]

Aaronson, S. “Quantum Randomness: If There’s No Predeterminism in Quantum Mechanics, Can It Output Numbers That Truly Have No Pattern?” American Scientist 102, no. 4 (2014): 266-271.
[ online version ]

Abbott, R. “Emergence Explained: Abstractions–Getting Epiphenomena to Do Real Work.” Complexity 12, no. 1 (2006): 13-26. [ online version ]

Abu Dalhoum, A. L., A. Madain, and H. Hiary. “Digital Image Scrambling Based on Elementary Cellular Automata.” Multimedia Tools and Applications 75, no. 24 (2016): 17019-17034. [ online version ]

Ackbarow, T. and M. J. Buehler. “Hierarchical Coexistence of Universality and Diversity Controls Robustness and Multi-Functionality in Protein Materials.” Journal of Computational and Theoretical Nanoscience 5, no. 7 (2008): 1193-1204.

Acedo, L., E. Lamprianidou, J.-A. Morano, et al. “Firing Patterns in a Random Network Cellular Automata Model of the Brain.” Physica A: Statistical Mechanics and its Applications 435, (2015): 111-119. [ online version ]

Adam, J. A. Mathematics in Nature. Princeton University Press, 2003. [ online version ]

Adamatzky, A. (Ed.). Game of Life Cellular Automata (Vol. 1). Springer, 2010. [ online version ]

Adamatzky, A., G. J. Martínez, and J. C. S. T. Mora. “Phenomenology of Reaction-Diffusion Binary-State Cellular Automata.” International Journal of Bifurcation and Chaos 16, no. 10 (2006): 2985-3005. [ online version ]

Adamopoulos, A. and S. Scarlatos.”Emulation and Complementarity in One-Dimensional Alternatives of the Axelrod Model with Binary Features.” Complexity 17, no. 3 (2012): 43–49. [ online version ]

Addabbo, T., M. Alioto, and A. Fort, et al. “A Class of Maximum-Period Nonlinear Congruential Generators Derived from the Rényi Chaotic Map.” IEEE Transactions on Circuits and Systems I: Regular Papers 54, no. 4 (2007): 816-828. [ online version ]

Adriaans, P. “Between Order and Chaos: The Quest for Meaningful Information.” Theory of Computing Systems 45, no. 4 (2009): 650-674. [ online version ]

Agapie, A., A. Andreica, C. Chira, et al. “Predictability in Cellular Automata.” Plos One 9, no. 10 (2014): e108177. [ online version ]

Agar, M. “We Have Met the Other and We’re All Nonlinear: Ethnography as a Nonlinear Dynamic System.” Complexity 10, no. 2 (2004): 16-24.

Aguiléra, V. and A. Tordeux. “A New Kind of Fundamental Diagram with an Application to Road Traffic Emission Modeling.” Journal of Advanced Transportation 48, no. 2 (2014): 165–184.
[ online version ]

Akl, S. G. “Unconventional Computational Problems with Consequences to Universality.” International Journal of Unconventional Computing 4, no. 1 (2008): 89-98. [ online version ]

Aladejana, F. “The Implications of ICT and NKS for Science Teaching: Whither Nigeria.” Complex Systems 17, no. 2 (2007): 113-124. [ online version ]

Albantakis, L. and G. Tononi. “The Intrinsic Cause-Effect Power of Discrete Dynamical Systems—From Elementary Cellular Automata to Adapting Animats.” Entropy 17, no. 8 (2015): 5472-5502. [ online version ]

Alber, M. S., M. A. Kiskowski, and J. A. Glazier, et al. “On Cellular Automaton Approaches to Modeling Biological Cells.” In Mathematical Systems Theory in Biology, Communications, and Finance. Springer-Verlag, 2003. [ online version ]

Alces, P. A. “Unintelligent Design in Contract.” University of Illinois Law Review, no. 2 (2008): 505-555. [ online version ]

Aliu, O. G., M. Mehta, M. A. Imran, et al. “A New Cellular-Automata-Based Fractional Frequency Reuse Scheme.” IEEE Transactions on Vehicular Technology 64, no. 4 (2015): 1535-1547. [ online version ]

Alonso-Sanz, R. “One-Dimensional, r=2 Cellular Automata with Memory.” International Journal of Bifurcation and Chaos in Applied Sciences and Engineering 14, no. 9 (2004): 3217-3248. [ online version ]

Alonso-Sanz, R. “Phase Transitions in an Elementary Probabilistic Cellular Automaton with Memory.” Physica A 347 (2005): 383-401.

Alonso-Sanz, R. “Reversible Cellular Automata with Memory: Two-Dimensional Patterns from a Single Site Seed.” Physica D: Nonlinear Phenomena 175, no. 1-2 (2003): 1-30. [ online version ]

Alonso-Sanz, R. “Reversible Structurally Dynamic Cellular Automata with Memory: A Simple Example.” Journal of Cellular Automata 2, no. 3 (2007): 179-201.

Alonso-Sanz, R. “A Structurally Dynamic Cellular Automaton with Memory.” Chaos Solitons & Fractals 32, no. 4 (2007): 1285-1295. [ online version ]

Alonso-Sanz, R. “A Structurally Dynamic Cellular Automaton with Memory in the Triangular Tessellation.” Complex Systems 17, no. 1 (2007): 1-15. [ online version ]

Alonso-Sanz, R. and L. Bull. “Boolean Networks with Memory.” International Journal of Bifurcation and Chaos 18, no. 12 (2008): 3799-3814. [ online version ]

Alonso-Sanz, R. and L. Bull. “One-Dimensional Coupled Cellular Automata with Memory: Initial Investigations.” Journal of Cellular Automata 5, no. 1-2 (2010): 29-49.

Alonso-Sanz, R. and L. Bull. “Random Number Generation by Cellular Automata with Memory.” International Journal of Modern Physics C 19, no. 2 (2008): 351-367. [ online version ]

Alonso-Sanz, R. and J. P. Cárdenas. “Effect of Memory on Boolean Networks with Disordered Dynamics: The K=4 Case.” International Journal of Modern Physics C 18, no. 8 (2007): 1313-1327. [ online version ]

Alonso-Sanz, R. and M. Martin. “Cellular Automata with Accumulative Memory: Legal Rules Starting from a Single Site Seed.” International Journal of Modern Physics C 14, no. 5 (2003): 695-719. [ online version ]

Alonso-Sanz, R. and M. Martin. “Elementary Cellular Automata with Elementary Memory Rules in Cells: The Case of Linear Rules.” Journal of Cellular Automata 1, no. 1 (2006): 71-87. [ online version ]

Alonso-Sanz, R. and M. Martin. “Elementary Cellular Automata with Memory.” Complex Systems 14, no. 2 (2003): 99-126. [ online version ]

Alonso-Sanz, R. and M. Martin. “One-Dimensional Cellular Automata with Memory in Cells of the Most Frequent Recent Value.” Complex Systems 15, no. 3 (2005): 203-236. [ online version ]

Alonso-Sanz, R. and M. Martin. “Three-State One-Dimensional Cellular Automata with Memory.” Chaos, Solitons and Fractals 21, no. 4 (2004): 809-834. [ online version ]

Amaral, L. A. N., A. Diaz-Guilera, and A. A. Moreira, et al. “Emergence of Complex Dynamics in a Simple Model of Signaling Networks.” Proceedings of the National Academy of Sciences of the United States of America 101, no. 44 (2004): 15551-15555.

Amaral, L. A. N. and B. Uzzi. “Complex Systems–A New Paradigm for the Integrative Study of Management, Physical, and Technological Systems.” Management Science 53, no. 7 (2007): 1033-1035. [ online version ]

Amaral, L. A. N. and J. M. Ottino. “Complex Networks–Augmenting the Framework for the Study of Complex Systems.” European Physical Journal B 38, no. 2 (2004): 147-162.

Amaral, L. A. N. and J. M. Ottino. “Complex Systems and Networks: Challenges and Opportunities for Chemical and Biological Engineers.” Chemical Engineering Science 59, no. 8-9 (2004): 1653-1666.

Amigo, J. M., S. Zambrano, and M. A. F. Sanjuan. “Permutation Complexity of Spatiotemporal Dynamics.” Europhysics Letters 90, no. 1 (2010): 10007. [ online version ]

Amigoni, F. and V. Schiaffonati. “A Multiagent Approach to Modelling Complex Phenomena.” Foundations of Science 13, no. 2 (2008): 113-125. [ online version ]

Anderson, G. M. “The Potential Role for Emergence in Autism.” Autism Research 1, no. 1 (2008): 18-30. [ online version ]

Andras, P. “Neural Activity Pattern Systems.” Neurocomputing 65 (2005): 531-536.

Andras, P. “Pattern Languages: A New Paradigm for Neurocomputation.” Neurocomputing 58-60 (2004): 223-228.

Andrecut, M. “A Simple Forecasting Game.” International Journal of Modern Physics C 17, no. 2 (2006): 279-286.

Andrecut, M. and M. K. Ali. “Entanglement Dynamics in Quantum Cellular Automata.” Physics Letters A, no. 5-6 (2004): 328-332.

Anghelescu, P., S. Ionita, and E. Sofron. “Encryption Technique with Programmable Cellular Automata (ETPCA).” Journal of Cellular Automata 5, no. 1-2 (2010): 79-105.

Aoun, B. and M. Tarifi. “Quantum Cellular Automata.” arXiv:quant-ph/0401123 (2004). [ online version ]

Araghi, S. K. and R. Stouffs. “Exploring Cellular Automata for High Density Residential Building Form Generation.” Automation in Construction 49, Part A (2015): 152-162. [ online version ]

Araujo, S. B. L., G. M. Viswanathan, and M. A. M. de Aguiar. “Home Range Evolution and Its Implication in Population Outbreaks.” Philosophical Transactions of the Royal Society A—Mathematical Physical and Engineering Sciences 368, no. 1933 (2010): 5661-5677. [ online version ]

Argentini, G. “A First Approach for a Possible Cellular Automaton Model of Fluids Dynamics.” arXiv:cs.CC/0303003 (2003). [ online version ]

Ariza, C. “Automata Bending: Applications of Dynamic Mutation and Dynamic Rules in Modular One-Dimensional Cellular Automata.” Computer Music Journal 31, no. 1 (2007): 29-49.

Aschwanden, M. J., N. B. Crosby, M. Dimitropoulou, et al. “25 Years of Self-Organized Criticality: Solar and Astrophysics.” Space Science Reviews 198, no. 1-4 (2016): 47-166. [ online version ]

Aschwanden, M. Self-Organized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe. Springer Berlin Heidelberg, 2011. [ online version ]

Asgari, Y. and M. Ghaemi. “Obtaining Critical Point and Shift Exponent for the Anisotropic Two-Layer Ising and Potts Models: Cellular Automata Approach.” Physica A-Statistical Mechanics and its Applications 387, no. 8-9 (2008): 1937-1946. [ online version ]

Aunger, R. “Major Transitions in ‘Big’ History.” Technological Forecasting and Social Change 74, no. 8 (2007): 1137-1163. [ online version ]

Bach, T. (2003). A SIMP Tutorial: Programming Cellular and Lattice Gas Automata. Boston University. [ online version ]

Bachers, A. “Neurofeedback in NKS.” Poster presented at NKS 2004, Boston, MA, 2004. [ online version ]

Bacus, J. M. “Drawing Lines with Simple Programs: Some Artistic Experiments with NKS.” Poster presented at NKS 2004, Boston, MA, 2004. [ online version ]

Badr, A. “An Alternative Cellular Automata Cryptogram.” Studies in Informatics and Control 11, no. 4 (2002): 339-347.

Baetens, J. M. and B. De Baets. “Phenomenological Study of Irregular Cellular Automata Based on Lyapunov Exponents and Jacobians.” Chaos 20, no. 3 (2010): 033112. [ online version ]

Baetens, J. M., K. De Loof, and B. De Baets. “Influence of the Topology of a Cellular Automaton on its Dynamical Properties.” Communications in Nonlinear Science and Numerical Simulation 18, no. 3 (2013): 651–668. [  online version ]

Baetens, J. M. and B. De Baets. “Towards a Comprehensive Understanding of Multi-state Cellular Automata.” Cellular Automata: 11th International Conference on Cellular Automata for Research and Industry 8751 (2014): 16-24. [ online version ]

Baez, M. “Dynamic Cellular Forms.” Poster presented at NKS 2004, Boston, MA, 2004. [ online version ]

Baggio, R. and R. Sainaghi. “Complex and Chaotic Tourism Systems: Towards a Quantitative Approach.” International Journal of Contemporary Hospitality Management 23, no. 6 (2011): 840–861. [ online version ]

Bailey, D. H., J. M. Borwein, V. Kapoor, et al. “Ten Problems in Experimental Mathematics.” American Mathematical Monthly 113, no. 6 (2006): 481-509. [ online version ]

Bainbridge, W. S. “Transformative Concepts in Scientific Convergence.” Progress in Convergence: Technologies for Human Wellbeing 1093, (2006): 24-45. [ online version ]

Baird, L. and B. Fagin. “Conservation Functions for 1-D Automata: Efficient Algorithms, New Results, and a Partial Taxonomy.” Journal of Cellular Automata 3, no. 4 (2008): 271-288. [ online version ]

Baker, S. G., A. M. Soto, C. Sonnenschein, et al. “Plausibility of Stromal Initiation of Epithelial Cancers without a Mutation in the Epithelium: A Computer Simulation of Morphostats.” BMC Cancer 9 (2009): 89. [ online version  ]

Balazs, A. C. and I. R. Epstein. “Emergent or Just Complex?” Science 325, no. 5948 (2009): 1632-1634. [ online version ]

Baldocchi, D. D., T. Krebs, and M. Y. Leclerc. “‘Wet/Dry Daisyworld’: A Conceptual Tool for Quantifying the Spatial Scaling of Heterogeneous Landscapes and its Impact on the Subgrid Variability of Energy Fluxes.” Tellus B 57, no. 3 (2005): 175-188. [ online version ]

Ball, P. “Pattern Formation in Nature: Physical Constraints and Self-Organising Characteristics.” Architectural Design 82, no. 2 (2012): 22–27. [ online version ]

Ban, J.-C. and C.-H. Chang. “The Topological Pressure of Linear Cellular Automata.” Entropy 11, no. 2 (2009): 271-284. [ online version ]

Bandeira, L. and C. C. Ramos. “Transition Matrices Characterizing a Certain Totally Discontinuous Map of the Interval.” Journal of Mathematical Analysis and Applications 444, no. 2 (2016): 1274-1303. [ online version ]

Bandeira, L., M. J. Martinho, and C. C. Ramos. “Interval Maps Associated to the Cellular Automaton Rule 184.” Chaos, Solitons & Fractals 41, no. 3 (2009): 1501-1509. [ online version ]

Bandini, S., L. Vanneschi, A. Wuensche, et al. “Cellular Automata Pattern Recognition and Rule Evolution through a Neuro-genetic Approach.” Journal of Cellular Automata 4, no. 3 (2009): 171-181.

Bandman, O. “Accuracy and Stability of Spatial Dynamics Simulation by Cellular Automata Evolution.” In Lectures Notes in Computer Science: Parallel Computing Technologies, Proceedings 2763, 20-34, 2003. [ online version ]

Bandman, O. “Algebraic Properties of Cellular Automata: The Basis for Composition Technique.” Cellular Automata, Proceedings 3305 (2004): 688-697.

Bandman, O. “Composing Fine-Grained Parallel Algorithms for Spatial Dynamics Simulation.” Parallel Computing Technologies 3606 (2005): v99-113.

Bandman, O. “Computation Properties of Spatial Dynamics Simulation by Probabilistic Cellular Automata.” Future Generation Computer Systems 21, no. 5 (2005): 633-643.

Bandman, O. “Parallel Simulation of Asynchronous Cellular Automata Evolution.” In Cellular Automata, Proceedings. Springer, 2006. [ online version ]

Bandt, C. “Global Structure from Local Action: A Fractal Puzzle and Cellular Automata.” (2003). [ online version ]

Bandyopadhyay, A., R. Pati, S. Sahu, et al. “Massively Parallel Computing on an Organic Molecular Layer.” Nature Physics 6, no. 5 (2010): 369-375. [ online version ]

Baranzini, S. E. “Systems-Based Medicine Approaches to Understand and Treat Complex Diseases. The Example of Multiple Sclerosis.” Autoimmunity 39, no. 8 (2006): 651-662. [ online version ]

Barbosa, V. C. “The Conduciveness of CA-Rule Graphs.” Artificial Life 19, no. 2 (2013): 255–266. [ online version ]

Barbosa, V. C., F. M. N. Miranda, and M. C. M. Agostini. “Cell-Centric Heuristics for the Classification of Cellular Automata.” Parallel Computing 32, no. 1 (2006): 44-66. [ online version ]

Barbour, R. H. “Two-Dimensional Four-Color Cellular Automaton: Surface Explorations.” Complex Systems 17, no. 2 (2007): 103-112. [ online version ]

Barclay, M. L. “Synthetic Birth: Emergent Behaviors in an Agent-Based Model of the Human Uterus.” Poster presented at NKS 2004, Boston, MA, 2004. [ online version ]

Bardera, A., M. Feixas, I. Boada, et al. “Image Registration by Compression.” Information Sciences 180, no. 7 (2010): 1121-1133. [ online version ]

Barfoot, T. D. and G. M. T. D’Eleuterio. “Evolving Distributed Control for an Object Clustering Task.” Complex Systems 15, no. 3 (2005): 183-201. [ online version ]

Barfoot, T. and G. D’Eleuterio. (2003). Learning Distributed Control for an Object-Clustering Task. University of Toronto Institute for Aerospace Studies.

Barfoot, T. D. and G. M. T. D’Eleuterio. “Stochastic Self-Organization.” Complex Systems 16, no. 2 (2005): 95-121. [ online version ]

Barkin, E. “Relative Phenomenalism: Toward a More Plausible Theory of Mind.” Journal of Consciousness Studies 10, no. 8 (2003): 3-13. [ online version ]

Barpi, F., M. Borri-Brunetto, and L. D. Veneri. “Cellular-Automata Model for Dense-Snow Avalanches.” Journal of Cold Regions Engineering 21, no. 4 (2007): 121-140. [ online version ]

Barrett, P. “Beyond Psychometrics: Measurement, Non-Quantitative Structure, and Applied Numerics.” The Journal of Managerial Psychology 3, no. 18 (2003): 421-439. [ online version ]

Barron, C. “A Strong Distinction Between Humans and Non-Humans is No Longer Required for Research Purposes: A Debate between Bruno Latour and Steve Fuller.” History of the Human Sciences 16, no. 2 (2003): 77-99. [ online version ]

Barrow, J. D. “Living in a Simulated Universe.” 2003. [ online version ]

Bastardas-Boada, A. “Towards a Complex-Figurational Socio-Linguistics: Some Contributions from Physics, Ecology and the Sciences of Complexity.” History of the Human Sciences 27, no. 3 (2014): 55-75. [ online version ]

Basu, S. and S. Basu. “Different Types of Linear Fuzzy Cellular Automata and their Applications.” Fundamenta Informaticae 87, no. 2 (2008): 185-205.

Batten, D. F. “Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals.” Journal of Regional Science 47, no. 3 (2007): 624-627.

Batty, M. Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press, 2005. [ online version ]

Bays, C. “A Note on the Game of Life in Hexagonal and Pentagonal Tesselations.” Complex Systems 15, no. 3 (2005): 245-252. [ online version ]

Beane, S. R., Z. Davoudi, and M. J. Savage. “Constraints on the Universe as a Numerical Simulation.” European Physical Journal A 50, no. 9 (2014): 148. [ online version ]

Beck, G. L. and M. T. Matache. “Dynamical Behavior and Influence of Stochastic Noise on Certain Generalized Boolean Networks.” Physica A: Statistical Mechanics and its Applications 387, no. 19-20 (2008): 4947-4958. [ online version ]

Beck, J. “Randomness of the Square Root of 2 and the Giant Leap, Part 2.” Periodica Mathematica Hungarica 62, no. 2 (2011): 127–246. [ online version ]

Bedau, M. A. “Is Weak Emergence Just in the Mind?” Minds and Machines 18, no. 4 (2008): 443-459. [ online version ]

Bedau, M. A. “Testing Bottom-Up Models of Complex Citation Networks.” Philosophy of Science 81, no. 5 (2014): 1131-1143. [ online version ]

Beggs, E. J., and J. V. Tucker. “Can Newtonian Systems, Bounded in Space, Time, Mass and Energy Compute All Functions?” Theoretical Computer Science 371, no. 1-2 (2007): 4-19. [ online version ]

Beggs, E. J., and J. V. Tucker. “Embedding Infinitely Parallel Computation in Newtonian Kinematics.” Applied Mathematics and Computation 178, no. 1 (2006): 25-43. [ online version ]

Beggs, E. J. and J. V. Tucker. “Experimental Computation of Real Numbers by Newtonian Machines.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463, no. 2082 (2007): 1541-1561. [ online version ]

Beigzadeh, M., S. M. R. H. Golpayegani, and S. Gharibzadeh. “Can Cellular Automata Be a Representative Model for Visual Perception Dynamics?” Frontiers in Computational Neuroscience 7 (2013). [ online version ]

Belmonte, M., E. Millán, M. Ruiz-Montiel, et al. “Randomness and Control in Design Processes: An Empirical Study with Architecture Students.” Design Studies 35, no. 4 (2014): 392–411.
[ online version ]

Belof, J. L., A. C. Stern, M. Eddaoudi, et al. “On the Mechanism of Hydrogen Storage in a Metal-Organic Framework Material.” Journal of the American Chemical Society 129, no. 49 (2007): 15202-15210. [ online version ]

BenDor, T. K. and S. S. Metcalf. “The Spatial Dynamics of Invasive Species Spread.” System Dynamics Review 22, no. 1 (2006): 27-50. [ online version ]

Beni, G. “From Swarm Intelligence to Swarm Robotics.” Swarm Robotics 3342 (2005): 1-9.

Beni, G. “Order by Disordered Action in Swarms.” Swarm Robotics 3342 (2005): 153-171.

Bennett, D. and D. McGinnis. “Coupled and Complex: Human-Environment Interaction in the Greater Yellowstone Ecosystem, USA.” Geoforum 39, no. 2 (2008): 833-845. [ online version ]

Ben-Zion, Y. “Collective Behavior of Earthquakes and Faults: Continuum-Discrete Transitions, Progressive Evolutionary Changes, and Different Dynamic Regimes.” Reviews of Geophysics 46, no. 4 (2008): RG4006. [ online version ]

Bernardinello, L., L. Pomello, and S. Rombolà. “Closure Operators and Lattices Derived from Concurrency in Posets and Occurrence Nets.” Fundamenta Informaticae 105, no. 3 (2010): 211–235. [  online version ]

Bernhardt, C. “A Sharkovsky Theorem for a Discrete System.” Journal of Difference Equations and Applications 10, no. 1 (2004): 29-40. [ online version ]

Berry, H., D. Gracia Pérez, and O. Temam. “Chaos in Computer Performance.” Chaos 16, no. 1 (2006): 013110. [ online version ]

Berry, R., M. Makino, and N. Hikawa, et al. “Programming in the World.” Digital Creativity 17, no. 1 (2006): 36-48. [ online version ]

Bertacchini, F., E. Bilotta, F. Caldarola, et al. “Emergence of Linguistic-like Structures in One-dimensional Cellular Automata.” Numerical Computations: Theory and Algorithms (Numta-2016) 1776, (2016): 090044. [ online version ]

Berthouze, L. and E. C. Goldfield. “Assembly, Tuning, and Transfer of Action Systems in Infants and Robots.” Infant and Child Development 17, no. 1 (2008): 25-42. [ online version ]

Betz, A. Das eindimensionale Universum: Einführung in ein informationstheoretisches Weltbild. Norderstedt: BoD GmbH, 2003. [ online version ]

Bhattacharyya, P. “Cellular Automata: Wolfram’s Metaphors for Complex Systems.” arXiv:nlin/0404003, no. 1 (2004). [ online version ]

Bidlo, M. “Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata.” Proceedings of the 2016 Genetic and Evolutionary Computation Conference (Gecco’16 Companion) (2016): 157-158. [ online version ]

Bidlo, M. “On Routine Evolution of Complex Cellular Automata.” Ieee Transactions on Evolutionary Computation 20, no. 5 (2016): 742-754. [ online version ]

Bie, Z., Q. Han, C. Liu, et al. “Chaotic Behavior of One-Dimensional Cellular Automata Rule 24.” Discrete Dynamics in Nature and Society (2014): http://dx.doi.org/10.1155/2014/304297.
[ online version ]

Billings, S. A. and S. S. Mei. “A New Fast Cellular Automata Orthogonal Least-Squares Identification Method.” International Journal of Systems Science 36, no. 8 (2005): 491-499.

Bilotta, E. and P. Pantano. “Artificial Micro Worlds Part IV: Models of Complex Self-Reproducers.” International Journal of Bifurcation and Chaos 21, no. 6 (2011): 1501–1521. [ online version ]

Bilotta, E. and P. Pantano. “Emergent Patterning Phenomena in 2D Cellular Automata.” Artificial Life 11, no. 3 (2005): 339-362.

Bilotta, E., and P. Pantano. “Structural and Functional Growth in Self-Reproducing Cellular Automata.” Complexity 11, no. 6 (2006): 12-29. [ online version ]

Bingham, J. and B. Bingham. “Hybrid One-Dimensional Reversible Cellular Automata Are Regular.” Discrete Applied Mathematics 155, no. 18 (2007): 2555-2566. [ online version ]

Biondini, F., F. Bontempi, and D. M. Frangopol, et al. “Cellular Automata Approach to Durability Analysis of Concrete Structures in Aggressive Environments.” Journal of Structural Engineering 130, no. 11 (2004): 1724-1737.

Birch, C. P. D. “Diagonal and Orthogonal Neighbours in Grid-Based Simulations: Buffon’s Stick after 200 Years.” Ecological Modelling 192, no. 3-4 (2006): 637-644. [ online version ]

Bithell, M., and W. D. Macmillan. “Escape from the Cell: Spatially Explicit Modelling with and without Grids.” Ecological Modelling 200, no. 1-2 (2007): 59-78. [ online version ]

Blachowicz, J. “The Constraint Interpretation of Physical Emergence.” Journal for General Philosophy of Science 44, no. 1 (2013): 21–40. [ online version ]

Bloom, H. The God problem: how a godless cosmos creates. Prometheus Books, 2012. [ online version ]

Bocquet, S., F. G. Viladomat, C. M. Nova, et al. “Membrane-Based Solvent Extraction of Aroma Compounds: Choice of Configurations of Hollow Fiber Modules Based on Experiments and Simulation.” Journal of Membrane Science 281, no. 1-2 (2006): 358-368. [ online version ]

Bocquet, S., J. Romero, and J. Sanchez, et al. “Membrane Contactors for the Extraction Process with Subcritical Carbon Dioxide or Propane: Simulation of the Influence of Operating Parameters.” The Journal of Supercritical Fluids 41, no. 2 (2007): 246-256. [ online version ]

Boghosian, B. M. “Discrete Simulation of Fluid Dynamics.” Physica A: Statistical Mechanics and its Applications 362, no. 1 (2006): XI-XIV.

Boguta, K. “Complexity and the Paradigm of Wolfram’s A New Kind of Science: From the Computational Sciences to the Science of Computation” Complexity 10, no. 4 (2005): 15-21. [ online version ]

Boichot, R. and L. Luo. “A Simple Cellular Automaton Algorithm to Optimise Heat Transfer in Complex Configurations.” International Journal of Exergy 7, no. 1 (2010): 51-64.

Bolognesi, T. and V. Ciancia. “Nominal Cellular Automata.” Electronic Proceedings in Theoretical Computer Science no. 223 (2016): 24-35. [ online version ]

Bolognesi, T. “Humanity Is Much More than the Sum of Humans.” How should Humanity Steer the Future? (2016): 15-26. [ online version ]

Bolognesi, T. “A Pseudo-random Network Mobile Automaton with Linear Growth.” Information Processing Letters 109, no. 13 (2009): 668-674. [ online version ]

Bolognesi, T. “Behavioral Complexity Indicators for Process Algebra: The NKS Approach.” Journal of Logic and Algebraic Programming 72, no. 1 (2007): 50-77. [ online version ]

Bolognesi, T. “Causal Sets from Simple Models of Computation.” International Journal of Unconventional Computing 6, no. 6 (2010): 489-524.

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