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Lawrence Bull

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Lawrence Bull

AHOD Research and Scholarship and Prof


On coevolution: Asymmetry in the NKCS model (2021)
Journal Article
Bull, L. (2021). On coevolution: Asymmetry in the NKCS model. BioSystems, 207, https://doi.org/10.1016/j.biosystems.2021.104469

The NKCS model was introduced to explore coevolutionary systems, that is, systems in which multiple species are closely interconnected. The fitness landscapes of the species are coupled to a controllable amount, where the underlying properties of the... Read More about On coevolution: Asymmetry in the NKCS model.

On the emergence of intersexual selection: Arbitrary trait preference improves female-male coevolution (2021)
Journal Article
Bull, L. (2021). On the emergence of intersexual selection: Arbitrary trait preference improves female-male coevolution. Artificial Life, 27(1), 15-25. https://doi.org/10.1162/artl_a_00335

Sexual selection is a fundamental aspect of evolution for all eukaryotic organisms with mating types. This paper suggests intersexual selection is best viewed as a mechanism which to compensate for the unavoidable dynamics of coevolution between sexe... Read More about On the emergence of intersexual selection: Arbitrary trait preference improves female-male coevolution.

Autoencoding with a classifier system (2021)
Journal Article
Preen, R. J., Wilson, S. W., & Bull, L. (in press). Autoencoding with a classifier system. IEEE Transactions on Evolutionary Computation, https://doi.org/10.1109/TEVC.2021.3079320

Autoencoders are data-specific compression algorithms learned automatically from examples. The predominant approach has been to construct single large global models that cover the domain. However, training and evaluating models of increasing size com... Read More about Autoencoding with a classifier system.

Evolving Boolean regulatory networks with variable gene expression times (2021)
Book Chapter
Bull, L. (in press). Evolving Boolean regulatory networks with variable gene expression times. In Handbook of Unconventional Computing (246-258). Springer

The time taken for gene expression varies not least because proteins vary in length considerably. This paper uses an abstract, tuneable Boolean regulatory network model to explore gene expression time variation. In particular, it is shown how non-uni... Read More about Evolving Boolean regulatory networks with variable gene expression times.

In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times (2020)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2020). In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times. Computer Methods and Programs in Biomedicine, 200, https://doi.org/10.1016/j.cmpb.2020.105886

© 2020 The Author(s) Background and Objective: Cancer tumors constitute a complicated environment for conventional anti-cancer treatments to confront, so solutions with higher complexity and, thus, robustness to diverse conditions are required. Alter... Read More about In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times.

Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article
Tsompanas, M., Bull, L., Adamatzky, A., & Balaz, I. (2020). Novelty search employed into the development of cancer treatment simulations. Informatics in Medicine Unlocked, 19, 100347. https://doi.org/10.1016/j.imu.2020.100347

Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.

Exploring distributed control with the NK model (2020)
Journal Article
Bull, L. (2020). Exploring distributed control with the NK model. International Journal of Parallel, Emergent and Distributed Systems, 35(4), 413-422. https://doi.org/10.1080/17445760.2020.1760864

The NK model has been used widely to explore aspects of natural evolution and complex systems. This paper introduces a modified form of the NK model for exploring distributed control in complex systems such as organisations, social networks, collecti... Read More about Exploring distributed control with the NK model.