Full list of publications

  • Stanton A, Harris LM, Graham G and Merrick CJ, Recombination events among virulence genes in malaria parasites are associated with G-quadruplex-forming DNA motifs, BMC Genomics 17:859, 2016. doi:10/bsnj
  • Taylor T, Bedau MZ, Channon A, Ackley D, Banzhaf W, Beslon G, Dolson E, Froese T, Hickinbotham S, Ikegami T, McMullin B, Packard N, Rasmussen S, Virgo N, Agmon E, Clark E, McGregor S, Ofria C, Ropella G, Spector L, Stanley KO, Stanton A, Timperley C, Vostinar A and Wiser M, Open-Ended Evolution: Perspectives from the OEE Workshop in York, Artificial Life 22: 408-423, 2016. doi:10/bpqb
  • Jolley BP, Borg JM and Channon A, Analysis of Social Learning Strategies when Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution, in From Animals to Animats 14: Proceedings of the Fourteenth International Conference on Simulation of Adaptive Behavior (SAB 2016), pp. 293-304, Springer, 2016. doi:10/bpp9
  • Stanton A and Channon A, Neuroevolution of Feedback Control for Object Manipulation by 3D Agents, in Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALife XV), pp. 144-151, MIT Press, 2016. doi:10/bq8c
  • Aston E, Channon A, Belavkin RV, Krasovec R and Knight CG, Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-Length Genomes, in Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALife XV), pp. 172-179, MIT Press, 2016. doi:10/bq8d
  • Andras P, Social Learning, Environmental Adversity and the Evolution of Cooperation, in Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALife XV), pp. 290-297, MIT Press, 2016. doi:10/bq8b
  • Belavkin RV, Channon A, Aston E, Aston J, Krasovec R and Knight CG, Monotonicity of fitness landscapes and mutation rate control, Journal of Mathematical Biology 73(6): 1491-1524, 2016. doi:10/bd7r
  • Stanton A and Channon A, Incremental Neuroevolution of Reactive and Deliberative 3D Agents, in Proceedings of the European Conference on Artificial Life 2015 (ECAL 2015), pp. 341-348, MIT Press, 2015. doi:10/59x
  • Aston E, Channon A, Belavkin RV, Krasovec R and Knight CG, Optimal Mutation Rate Control under Selection in Hamming Spaces, in Proceedings of the European Conference on Artificial Life 2015 (ECAL 2015), pp. 640-647, MIT Press, 2015. doi:10/59z
  • Andras P, Environmental Factors and the Emergence of Cultural-Technical Innovations, in Proceedings of the European Conference on Artificial Life 2015 (ECAL 2015), pp. 130-137, MIT Press, 2015. doi:10/bq79
  • Krasovec R, Belavkin RV, Aston JAD, Channon A, Aston E, Rash BM, Kadirvel M, Forbes S and Knight CG, Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell-cell interactions, Nature Communications 5:3742, 2014. doi:10/skb
  • Krasovec R, Belavkin RV, Aston JAD, Channon A, Aston E, Rash BM, Kadirvel M, Forbes S and Knight CG, Where antibiotic resistance mutations meet quorum-sensing, Microbial Cell 1(7): 250-252, 2014. doi:10/xzg
  • Aston E, Channon A, Day C and Knight CG, Critical Mutation Rate Has an Exponential Dependence on Population Size in Haploid and Diploid Populations, PLOS ONE 8(12): e83438, 2013. doi:10/qqc
  • Stanton A and Channon A, Heterogeneous complexification strategies robustly outperform homogeneous strategies for incremental evolution, in Advances in Artificial Life, ECAL 2013: Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, pp. 973-980, MIT Press, 2013. doi:10/nnb
  • Andras P, Pakhira A, Moreno L and Marcus A, A measure to assess the behavior of method stereotypes in object-oriented software. Proceedings of the 4th International Workshop on Emerging Trends in Software Metrics (WETSoM 2013), pp.7-13, 2013.
  • Borg JM and Channon A, Testing the Variability Selection Hypothesis: The Adoption of Social Learning in Increasingly Variable Environments, in Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems (ALife XIII), pp. 317-324, MIT Press, 2012. doi:10/m7p
  • Kyriacou T, Using an Evolutionary Algorithm to Determine the Parameters of a Biologically Inspired Model of Head Direction Cells, Journal of Computational Neuroscience 32(2): 281-295, 2012. doi:10/bsmxfp
  • Pakhira A and Andras P, Using network analysis metrics to discover functionally important methods in large-scale software systems. Proceedings of the 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM 2012), pp.70-76, 2012.
  • Borg JM, Channon A and Day C, Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution Through Transcription Errors and Cultural Transmission, in Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, pp. 101-108, MIT Press, 2011. doi:10/m7k
  • Channon A, Aston E, Day C, Belavkin RV and Knight CG, Critical Mutation Rate Has an Exponential Dependence on Population Size, in Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, pp. 117-124, MIT Press, 2011. doi:10/m7m
  • Belavkin RV, Channon A, Aston E, Aston J and Knight CG, Theory and Practice of Optimal Mutation Rate Control in Hamming Spaces of DNA Sequences, in Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, pp. 85-92, MIT Press, 2011. doi:10/m7j
  • Kyriacou T, Butcher J and Day C, A Model of Head Direction Cells with Changing Preferred Head Direction. 4th International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems (ERLARS 2011), Berlin, 2011.
  • Kyriacou T, An Implementation of a Biologically Inspired Model of Head Direction Cells on a Robot,Towards Autonomous RObotic Systems (TAROS), pp. 66-77, 2011. doi:10/ckn7cm
  • Andras P, Networks of artificial social interactions. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.883-890, 2011.
  • Andras P, Modelling living systems. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.706-713, 2011.
  • Pakhira A and Andras P, Can we use network analysis methods to discover functionally important method calls in software systems by considering dynamic analysis data? In Proceedings of the PCODA 2010 Workshop, pp.12-19, 2010.
  • Andras P and Charlton BG, Why are top universities losing their lead? – An economics modelling –based approach. Science and Public Policy, 36, 317-330, 2009.
  • Andras P, Uncertainty and communication complexity in iterated cooperation games. In Proceedings of ALife XI, MIT Press, pp.9-15, 2008.
  • Andras P, Uncertainty in iterated cooperation games. In Proceedings of CEC 2008, pp.593-599, 2008.
  • Robinson E, Ellis T and Channon AD, Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments, in Advances in Artificial Life: Proceedings of the Ninth European Conference on Artificial Life (ECAL 2007), LNCS 4648, pp. 345-354, Springer-Verlag, 2007. doi:10/bwzbm9
  • Parkin SE, Andras P and Morgan G, Evolutionary Optimization of Parameters for Distributed Virtual Environments. In Proceedings of CEC’2007, pp.1390-1397, 2007.
  • Andras P, Lazarus J and Roberts G, Environmental adversity and uncertainty favour cooperation. BMC Evolutionary Biology, 7:240, 2007.
  • Kaiser M, Martin R, Andras P and Young MP, Simulation of structural robustness of cortical networks. European Journal of Neuroscience, 25 (10): 3185-3192, 2007.
  • Andras P, Gwyther R, Madalinski AA, Lynden SJ, Andras A and Young MP, Ecological network analysis: an application to the evaluation of effects of pesticide use in an agricultural environment. Pest Management Science, 63 (10): 943-953, 2007.
  • Charlton BG and Andras P, Complex biological memory conceptualized as an abstract communication system –human long term memories grow in complexity during sleep and undergo selection while awake. In: Kozma, R & Perlovsky, L (Eds.) Neurodynamics of Cognition and Consciousness, Springer, pp.325-340, 2007.
  • Channon AD, Unbounded evolutionary dynamics in a system of agents that actively process and transform their environment, Genetic Programming and Evolvable Machines 7(3): 253-281, 2006. doi:10/b74rxr
  • Miconi T and Channon AD, The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution, in Proceedings of the 2006 IEEE Congress on Evolutionary Computation (CEC 2006), IEEE World Congress on Computational Intelligence (WCCI 2006), Vancouver, (G.G. Yen et al., eds.), pp. 1639-1646, IEEE Press, 2006. doi:10/b4b789
  • Miconi T and Channon AD, Analysing coevolution among artificial 3D creatures, in Proceedings of the 7th International Conference on Artificial Evolution (Evolution Artificielle 2005): Revised Selected Papers, Lille, (E.G. Talbi et al., eds.), LNCS 3871, pp. 167-178, Springer, 2006. doi:10/fhz979
  • Miconi T and Channon AD, An Improved System for Artificial Creatures Evolution, in Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems (ALife X), Bloomington, Indiana (L.M. Rocha et al., eds.), pp. 255-261, MIT Press, 2006.
  • Andras P, Lazarus J, Roberts G and Lynden SJ, Uncertainty and Cooperation: Analytical Results and a Simulated Agent Society. JASSS – Journal of Artificial Societies and Social Simulation, 9:1/7, 2006.
  • Andras P, Idowu O and Periorelis P, Fault tolerance and network integrity measures: the case of computer-based systems. In Proceedings of AISB Convention 2006, pp.90-97, 2006.
  • Miconi T and Channon AD, A virtual creatures model for studies in artificial evolution, in Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC 2005), Edinburgh (D. Corne et al., eds.), volume 1, pp. 565-572, IEEE Press, 2005. doi:10/d95m2t
  • Idowu O and Andras P, Identification of functionally essential proteins from protein interaction networks. In: Proceedings of CIMED 2005, pp.330-333, 2005.
  • Andras P and Andras CD, Protein interaction world – an alternative hypothesis about the origins of life. Medical Hypotheses, 64 (4): 678-688, 2005.
  • Andras P, Roberts G, Lazarus J and Lynden SJ, Environmental risk. In Proceedings of the Joint Symposium on Socially Inspired Computing, pp. 88-94, 2005.
  • Andras P and Charlton BG, Faults, errors and failures in communications: A systems theory perspective on organisational structure. In: Besnard, D, Gacek, C, Jones, CB (Eds.) Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective, Springer-Verlag, pp.189-216, 2005.
  • Andras P and Charlton BG, Self-aware software. Will it become reality? In: Babaoglu, O et al. (Eds) SELF-STAR 2004, LNCS 3460, pp.229-259, 2005.
  • Andras P and Lazarus J, Cooperation, Risk and the Evolution of Teamwork. In: Gold, N (Ed.) Teamwork: Multi-Professional Perspectives, Palgrave, pp.56-77, 2004.
  • Andras P and Charlton BG, Management from the Perspective of Systems Theory. In Proceedings of Practising Philosophy of Management, 2004.
  • Idowu OC, Lynden SJ, Young MP and Andras P, Bacillus Subtilis Protein Interaction Network Analysis. In Proceedings of IEEE Computational Systems Bioinformatics Conference, pp. 623-625, 2004.
  • Periorellis P, Idowu OC, Lynden SJ, Young MP and Andras P, Dealing with complex networks of protein interactions: A security measure. In Proceedings of 9th IEEE International Conference on Engineering of Complex Systems (ICECCS), pp.29-36, 2004.
  • Channon AD, Improving and still passing the ALife test: Component-normalised activity statistics classify evolution in Geb as unbounded, in Proceedings of Artificial Life VIII, Sydney (R. K. Standish, M. A. Bedau and H. A. Abbass, eds.), (Cambridge, MA), pp. 173-181, MIT Press, 2003.  Instructions for replicating the runs discussed in this paper.
  • Charlton B and Andras P, The Nature and Function of Management - a perspective from systems theory. Philosophy of Management, 3, 3-16, 2003.
  • Andras P, Roberts G and Lazarus J, Communication Complexity, Environmental Risk, and Cooperation. In Alonso, E., Kudenko, D. and Kazakov, D. (eds.) Adaptive Agents and Multi-Agent Systems, Springer-Verlag, Berlin, pp.49-65, 2003.
  • Charlton BG and Andras P, The Modernization Imperative, Imprint Academic, Exeter, UK, ISBN 0-907845-52-5, 2003.
  • Andras P, Roberts G and Lazarus J, Communication Complexity, Environmental Risk, and Cooperation. In Proceedings of AAMAS – II, pp.51-59, 2002.
  • Channon AD, Passing the ALife test: Activity statistics classify evolution in Geb as unbounded, in Advances in Artificial Life: Proceedings of the Sixth European Conference on Artificial Life (ECAL2001), Prague (J. Kelemen and P. Sosik, eds.), (Heidelberg), LNCS 2159, pp. 417-426, Springer Verlag, 2001. doi:10/cs5jkx
  • Channon AD, Evolutionary Emergence: The Struggle for Existence in Artificial Biota, PhD thesis, Department of Electronics and Computer Science, University of Southampton, 2001.
  • Andras P, Postma E and Van den Herik J, Natural Dynamics and Neural Networks. Journal of Intelligent Systems, vol.11, no.3, pp.173-201, 2001.
  • Channon AD, Three evolvability requirements for open ended evolution, in Artificial Life VII Workshop Proceedings (C. C. Maley and E. Boudreau, eds.), (Portland, OR), pp. 39-40, 2000.
  • Channon AD and Damper RI, Towards the evolutionary emergence of increasingly complex advantageous behaviours, International Journal of Systems Science, special issue on Emergent Properties of Complex Systems 31(7): 843-860, 2000. doi:10/cjvq52
  • Channon AD and Damper RI, The evolutionary emergence of socially intelligent agents, in Socially Situated Intelligence: a workshop held at SAB'98, University of Zurich Technical Report (B. Edmonds and K. Dautenhahn, eds.), (Zurich), pp. 41-49, 1998.
  • Channon AD and Damper RI, Perpetuating evolutionary emergence, in From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior (SAB98), Zurich (R. Pfeifer, B. Blumberg, J. A. Meyer, and S. Wilson, eds.), (Cambridge, MA), pp. 534-539, MIT Press, 1998.
  • Channon AD and Damper RI, Evolving novel behaviors via natural selection, in Proceedings of Artificial Life VI, Los Angeles (C. Adami, R. Belew, H. Kitano, and C. Taylor, eds.), (Cambridge, MA), pp. 384-388, MIT Press, 1998.
  • Channon AD and Damper RI, The artificial evolution of real intelligence by natural selection. Published on the web site of and poster presented at the Fourth European Conference on Artificial Life (ECAL97), Brighton, 1997.
  • Channon AD, The Evolutionary Emergence route to Artificial Intelligence. MSc thesis, School of Cognitive and Computing Sciences, University of Sussex, 1996.András P, Tuning Fuzzy Rule Bases with a Genetic Algorithm. In Proceedings of ROSYCS '96, Iasi, Romania, pp.351-360, 1996.
  • András P, András A and Szabó Z, A Genetic Solution for the Cutting Stock Problem. In Proceedings of First On-Line Workshop on Soft Computing, pp.87-92, 1996.