Search research publications and outputs

  1. A Rule Chaining Architecture Using a Correlation Matrix Memory

    Austin, J., Hobson, S. J., Burles, N. J. & O'Keefe, S., 2012, Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. PART 1 ed. SPRINGER-VERLAG BERLIN, Vol. 7552. p. 49-56 (Lecture Notes in Computer Science; vol. 7552).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  2. Abstraction/Representation Theory and the Natural Science of Computation

    Horsman, D., Kendon, V. & Stepney, S., 17 May 2018, Physical Perspectives on Computation, Computational Perspectives on Physics. Cuffaro, M. E. & Fletcher, S. C. (eds.). CAMBRIDGE UNIV PRESS, p. 127-149

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  3. Augmenting Live Coding with Evolved Patterns

    Hickinbotham, S. J. & Stepney, S., 2016, International Conference on Evolutionary and Biologically Inspired Music and Art; EvoMusArt 2016. Springer, Vol. 9596. p. 31–46 (Lecture Notes in Computer Science (LNCS)).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  4. Clyde: A deep reinforcement learning DOOM playing agent

    Ratcliffe, D., Devlin, S., Kruschwitz, U. & Citi, L., 4 Feb 2017, What's Next For AI In Games: AAAI 2017 Workshop.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  5. Embedded Dynamic Improvement

    Burles, N. J., Swan, J., Bowles, E., Brownlee, A. E. I., Kocsis, Z. A. & Veerapen, N., 2015, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. New York: ACM, p. 831-832

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  6. Evolution of Formal Model-based Assurance Cases for Autonomous Robots

    Gleirscher, M., Foster, S. D. & Nemouchi, Y., 9 Sep 2019, Software Engineering and Formal Methods. Springer, p. 87-104 18 p. (Lecture Notes in Computer Science; vol. 11724).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  7. Genome-wide mouse embryonic stem cell regulatory network self-organisation: a big data CoSMoS computational modelling approach.

    Greaves, R. B., Dietmann, S., Smith, A., Stepney, S. & Halley, J. D., 2015, CoSMoS workshop, York, UK, July 2015. Luniver Press, p. 31-66

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  8. Hybrid Relations in Isabelle/UTP

    Foster, S. D., 23 Sep 2019, 7th International Symposium on Unifying Theories of Programming (UTP). Springer, p. 130-153 24 p. (Lecture Notes in Computer Science; vol. 11885).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  9. Improving the associative rule chaining architecture

    Burles, N. J., O'Keefe, S. & Austin, J., 2013, Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 2013. Proceedings.. Mladenov, V., Palm, G., Appollini, B., Koprinkova-Hristova, P., Villa, A. & Kasabov, N. (eds.). Berlin: Springer-Verlag, Vol. 8131 LNCS. p. 98-105 8 p. (Lecture Notes in Computer Science; vol. 8131).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  10. Incorporating scale invariance into the cellular associative neural network

    Burles, N., O'Keefe, S. & Austin, J., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag, Vol. 8681 LNCS. p. 435-442 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  11. Outlier Detection in Big Data

    Wang, J. (ed.) & Hodge, V. J., 1 Apr 2014, Encyclopedia of Business Analytics and Optimization. Wang, J. (ed.). Hershey, PA: IGI Global, p. 1762-1771 10 p. (Encyclopedia of Business Analytics and Optimization).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  12. Reservoir Computing in Materio: An Evaluation of Configuration through Evolution

    Dale, M. N., Stepney, S., Miller, J. F. & Trefzer, M. A., 2016, IEEE Symposium Series on Computational Intelligence (SSCI), 2016 . IEEE

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  13. Stochastic modeling, analysis and verification of mission-critical systems and processes

    Gerasimou, S., Mason, G. R., Paterson, C. A., Banks, A., Calinescu, R. C., Kudenko, D. & Rowe, S., 2015, 4th IMA Conference on Mathematics in Defence. 9 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  14. UTP By Example: Designs

    Woodcock, JAMES. C. P. & Foster, S. D., 6 Apr 2017, Engineering Trustworthy Software Systems: Second International School, SETSS 2016 Chongqing. Jonathan P., B., Liu, Z. & Zhang, Z. (eds.). Springer, Vol. LNCS 10215. p. 16-50 35 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)