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Biography

Prof. Chris Cannings

University of Sheffield, UK

Professor


Email: C.Cannings@sheffield.ac.uk


Qualifications

1968 Ph.D., University of London

1964 B.Sc., Mathematics, University of London


Publications (selected)

  1. Broom M & Cannings C. (2015) Graphic Deviations. Discrete Maths., 338, 701-711.
  2. Cannings C (2015) Combinatorial aspects of Parker's model. Dynamic Games and Applications,5,263-274.
  3. Cannings,C.(2013) The Stationary Distributions of a Class of Markov Chains. Applied Mathematics,4,769-773.
  4. Southwell R & Cannings C.(2013) Best Response Games on Regular Graphs Applied Mathematics,4,950-962.
  5. Southwell R & Cannings C. (2013) Exploring the space of substitution systems. Complex Systems, 22, 1-34.
  6. Cannings C & Cannings R. (2013) Absence of pure Nash equilibria in a class of Co-ordination Games. Statistics, Optimisation and Information Computing,1,1-7.
  7. Southwell R, Jianwei Huang & Cannings C.(2013) Complex Networks from Simple Rules. Complex Systems, 22, 151-173.
  8. Broom M & Cannings C. (2013) Evolution of a Network with strategic link formation governed by indivdual preferences. J. Theoret. Biol.335, 160-168.
  9. Cannings C & J Jordan. (2013) Random walks and preferential attachment. Electronic Communications in Probability, 18, 1-5.
  10. Mitavski B., Rowe J & Cannings C. (2012) A version of Geiringer-like theorems for decision making in the environments with randomness and incomplete information. Int. J. Intel. Comp. & Cyber.,5,36-90.
  11. Southwell R., Cannings C. (2010) Some models of reproducing graphs: I Pure Reproduction. Applied Maths., 1, 137-145.
  12. Southwell R., Cannings C. (2010) Some models of reproducing graphs: II Age capped vertices. Applied Maths., 1, 251-233.
  13. Southwell R., Cannings C. (2010) Some models of reproducing graphs: III Game based reproduction. Applied Maths., 1, 335-343.
  14. Broom M and Cannings C. (2010) Evolutionary Game Theory. In: En-cyclopaedia of the Life Sciences. John Wiley, Chichester.
  15. Broom M., Cannings C. (2010) Evolutionary Game Theory, Encyclopedia of the Life Sciences (to appear). [10]Southwell R., Cannings C., (2010) Some models of graph reproduction; 1 Pure Reproduction. (to appear) Applied Mathematics.
  16. Mitavskiy, B., Cannings, C. (2009) Estimating the ratios of the stationary distribution values for Markov chains modeling evolutionary algorithms. Evolutionary Computation,17,343-377.[4].
  17. Mitavskiy, B., Rowe, J., Cannings, C. (2009) Theoretical analysis of local search strategies to optimize communication subject to preserving the total number of links. Int.J.Intelligent Computing and Cybernetics, 2, 243-284, Outstanding Paper Award winner 2009[2].
  18. Cannings C. (2009) The majority game on regular and random nerworks. International Conference on Game Theory for Networks. GameNets, i-xvi.[1].
  19. Chrysafis O, Cannings C. (2009) Weighted self-similar networks under preferential attachment. Physica A, 388, 2965-2974 [3].
  20. Southwell R., Cannings C. (2009) Games on graphs that grow deterministically, International Conference on Game Theory for Networks. GameNets, 347-356.
  21. Rowe, J., Mitavskiy, B., Cannings, C. (2008) Propagation Time in Stochastic Communication Networks. Second IEEE International Conference on Digital Ecosystems and Technologies pages 426-431 (see also arXiv:math/0608561 ).
  22. Mitavskiy, B., Rowe, J., Cannings, C. (2008) Preliminary Theoretical Analysis of a Local Search Algorithm to Optimize Network Communication Subject to Preserving the Total Number of Links. IEEE Congress on Evolutionary Computing, 1484-1491.
  23. Boris Mitavskiy and Chris Cannings (2008) Evaluating Stationary Distribution of the Binary GA Markov Chain in Special Cases. Proceedings of the Schloss Dagstuhl Seminar in “Theory of Evolutionary Algorithms”.


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Last updated: 2015-7-7