Keele Research Repository
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Thesis
Channon, AD (2001) Evolutionary Emergence: The Struggle for Existence in Artificial Biota. UNSPECIFIED thesis, UNSPECIFIED.
Channon, AD (1996) The Evolutionary Emergence route to Artificial Intelligence. UNSPECIFIED thesis, UNSPECIFIED.
Article
Borg, JM
ORCID: https://orcid.org/0000-0002-6662-0849 and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2021)
The Effect of Social Information Use without Learning on the Evolution of Behaviour.
Artificial Life, 26 (4).
pp. 431-454.
Jackson, B and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2020)
A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance.
2020 IEEE Symposium Series on Computational Intelligence (SSCI).
pp. 125-132.
Jackson, B and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2019)
Neuroevolution of Humanoids that Walk Further and Faster with Robust Gaits.
Artificial Life, 31.
543 - 550.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2019)
Maximum Individual Complexity is Indefinitely Scalable in Geb.
Artificial Life, 25 (2).
pp. 134-144.
Jolley, B and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2018)
Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network.
Proceedings of the 2018 Conference on Artificial Life.
536 - 543 (8).
Channon, AD, Aston, E, Belavkin, RV, Gifford, DR and Krašovec, R (2017) Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover. Scientific Reports, 7.
Taylor, T, Bedau, M, Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931, 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
ORCID: https://orcid.org/0000-0003-3865-2381, Timperley, C, Vostinar, A and Wiser, M
(2016)
Open-Ended Evolution: Perspectives from the OEE1 Workshop in York.
Artificial Life, 22 (3).
pp. 408-423.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931, Belavkin, RV, Aston, EJ, Aston, R, Krasovec, R and Knight, CG
(2016)
Monotonicity of Fitness Landscapes and Mutation Rate Control.
Journal of Theoretical Biology.
Krasovec, R, Belavkin, RV, Aston, JAD, Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931, Aston, E, Rash, BM, Kadirvel, M, Forbes, S and Knight, CG
(2014)
Where antibiotic resistance mutations meet quorum-sensing.
Microbial Cell, 1 (7).
250 - 252.
Borg, J and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2012)
Testing the Variability Selection Hypothesis: The Adoption of Social Learning in Increasingly Variable Environments.
Artificial Life, 13.
317 -324.
Robinson, E, Ellis, T and Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2007)
Neuroevolution of agents capable of reactive and deliberative behaviours in novel and dynamic environments.
Advances in Artificial Life, Proceedings, 4648.
345 - 354.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2006)
Unbounded Evolutionary Dynamics in a System of Agents that Actively Process and Transform Their Environment.
Genetic Programming and Evolvable Machines, 7 (3).
253 - 281.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931 and Damper, RI
(2000)
Towards the evolutionary emergence of increasingly complex advantageous behaviours.
International Journal of Systems Science, 31 (7).
843 -860.
Book Section
Channon, AD and Jolley, B (2018) Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT. In: Proceedings of the IEEE Symposium Series on Computational Intelligence 2017. IEEE, 3488 -3495.
Borg, JM and Channon, AD (2017) Evolutionary Adaptation to Social Information Use without Learning. In: Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Springer, Berlin, pp. 837-852.
Jolley, BP, Borg, J and Channon, AD (2016) Analysis of Social Learning Strategies when Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution. In: From Animals to Animats 14: The Fourteenth International Conference on Simulation of Adaptive Behavior (SAB 2016). Lecture Notes in Computer Science . Springer, Cham, pp. 293-304.
Stanton, A and Channon, AD (2016) Neuroevolution of Feedback Control for Object Manipulation by 3D Agents. In: Proceedings of the Artificial Life Conference 2016. MIT Press, Massachusetts, pp. 144-151.
Aston, E, Channon, AD, Belavkin, RV, Krasovec, R and Knight, CG (2016) Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-Length Genomes. In: Proceedings of the Artificial Life Conference 2016. MIT Press, Massachusetts, pp. 172-179.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931
(2003)
Improving and still passing the ALife test: Component-normalised activity statistics classify evolution in Geb as unbounded.
In:
Artificial Life VIII: proceedings of the Eighth International Conference on Artificial Life.
MIT Press, Cambridge, 173 -181.
Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931 and Damper, RI
(1998)
Perpetuating evolutionary emergence.
In:
From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior (SAB98), Zurich.
MIT Press, Cambridge, 534 -539.
Conference or Workshop Item
Aston, E, Channon, AD, Belavkin, RV, Krasovec, R and Knight, CG (2015) Optimal mutation rate control under selection in hamming spaces. In: Thirteenth European Conference on the Synthesis and Simulation of Living Systems (ECAL 2015), 20-24 Jul 2015, York.
Stanton, A and Channon, AD (2015) Incremental Neuroevolution of Reactive and Deliberative 3D Agents. In: Thirteenth European Conference on the Synthesis and Simulation of Living Systems (ECAL 2015), 20-24 Jul 2015, York.
Belavkin, RV, Channon, AD
ORCID: https://orcid.org/0000-0001-9224-4931, Aston, EJ, Aston, J and Knight, CG
(2011)
Theory and practice of optimal mutation rate control in hamming spaces of DNA sequences.
In: European Conference on Artificial Life, 8-12 Aug 2011, Paris.

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