All Outputs (43)

The effect of social information use without learning on the evolution of social behavior (2021)
Journal Article

In a recent paper by Borg (2017) it was shown that social information alone, decoupled from any within-lifetime learning, can result in improved performance on a food foraging task compared to when social information is unavailable. Here we assess wh... Read More about The effect of social information use without learning on the evolution of social behavior.

The Effect of Social Information Use without Learning on the Evolution of Behaviour (2021)
Journal Article

In a recent paper by Borg & Channon [6] it was shown that social information alone, decoupled from any within-lifetime learning, can result in improved performance on a food foraging task compared to when so13 cial information is unavailable. Here we... Read More about The Effect of Social Information Use without Learning on the Evolution of Behaviour.

A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance (2020)
Journal Article

Bipedal walking is a difficult behaviour to encode into an evolutionary neural network, particularly in three-dimensional environments. Agents must be constantly maintaining balance alongside their primary objectives. Here we re-implement a simple ev... Read More about A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance.

Evolving developmental, recurrent and convolutional neural networks for deliberate motion planning in sparse reward tasks (2020)
Thesis

Motion planning algorithms have seen a diverse set of approaches in a variety of disciplines. In the domain of artificial evolutionary systems, motion planning has been included in models to achieve sophisticated deliberate behaviours. These algorith... Read More about Evolving developmental, recurrent and convolutional neural networks for deliberate motion planning in sparse reward tasks.

The Use of Technology in the Subcategorisation of Osteoarthritis: a Delphi Study Approach (2020)
Journal Article

Objective This UK-wide OATech+ Network consensus study utilised a Delphi approach to discern levels of awareness across an expert panel regarding the role of existing and novel technologies in osteoarthritis research. To direct future cross-disciplin... Read More about The Use of Technology in the Subcategorisation of Osteoarthritis: a Delphi Study Approach.

Neuroevolution of Humanoids that Walk Further and Faster with Robust Gaits (2019)
Journal Article

Bipedal locomotion requires precise rhythm and balance. Here we demonstrate two fitness-function enhancements applied to OpenAI?s 3D Humanoid-v1 walking task using a replica of Salimans et al.?s evolution strategy (Salimans et al., 2017). The first e... Read More about Neuroevolution of Humanoids that Walk Further and Faster with Robust Gaits.

An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue. (2019)
Journal Article

Nature's spectacular inventiveness, reflected in the enormous diversity of form and function displayed by the biosphere, is a feature of life that distinguishes living most strongly from nonliving. It is, therefore, not surprising that this aspect of... Read More about An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue..

Maximum Individual Complexity is Indefinitely Scalable in Geb (2019)
Journal Article

Geb was the first artificial life system to be classified as exhibiting open-ended evolutionary dynamics according to Bedau and Packard’s evolutionary activity measures and is the only one to have been classified as such according to the enhanced ver... Read More about Maximum Individual Complexity is Indefinitely Scalable in Geb.

Maximum Individual Complexity is Indefinitely Scalable in Geb (2019)
Journal Article

Geb was the first artificial life system to be classified as exhibiting open-ended evolutionary dynamics according to Bedau and Packard’s evolutionary activity measures and is the only one to have been classified as such according to the enhanced ve... Read More about Maximum Individual Complexity is Indefinitely Scalable in Geb.

Open-Ended Evolution and Open-Endedness: Editorial Introduction to the Open-Ended Evolution I Special Issue. (2019)
Journal Article

Nature's spectacular inventiveness, reflected in the enormous diversity of form and function displayed by the biosphere, is a feature of life that distinguishes living most strongly from nonliving. It is, therefore, not surprising that this aspect of... Read More about Open-Ended Evolution and Open-Endedness: Editorial Introduction to the Open-Ended Evolution I Special Issue..

Opposing effects of final population density and stress on Escherichia coli mutation rate (2018)
Journal Article

Evolution depends on mutations. For an individual genotype, the rate at which mutations arise is known to increase with various stressors (stress-induced mutagenesis-SIM) and decrease at high final population density (density-associated mutation-rate... Read More about Opposing effects of final population density and stress on Escherichia coli mutation rate.

Environmental pleiotropy and demographic history direct adaptation under antibiotic selection (2018)
Journal Article

Evolutionary rescue following environmental change requires mutations permitting population growth in the new environment. If change is severe enough to prevent most of the population reproducing, rescue becomes reliant on mutations already present.... Read More about Environmental pleiotropy and demographic history direct adaptation under antibiotic selection.

Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network (2018)
Journal Article

Deep Convolutional Neural Networks (ConvNets) have seen great success on machine learning tasks in recent years but have shown difficulty with tasks that require long-term deliberative planning. Whereas, purpose-built hybrid network architectures hav... Read More about Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network.

Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT (2018)
Book Chapter

Previous works have used a novel hybrid network architecture to create deliberative behaviours to solve increasingly challenging tasks in two-dimensional and threedimensional artificial worlds. At the foundation of each is a static hand-designed neur... Read More about Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT.

Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover (2017)
Journal Article

The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico sys... Read More about Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover.

Critical Mutation Rate in a Population with Horizontal Gene Transfer (2017)
Book Chapter

Horizontal gene transfer (HGT) enables segments of DNA to be transferred between individuals in a population in addition to from parent to child. It is a prominent process in bacterial reproduction. Existing in silico models have succeeded in predict... Read More about Critical Mutation Rate in a Population with Horizontal Gene Transfer.

Spontaneous mutation rate is a plastic trait associated with population density across domains of life. (2017)
Journal Article

Rates of random, spontaneous mutation can vary plastically, dependent upon the environment. Such plasticity affects evolutionary trajectories and may be adaptive. We recently identified an inverse plastic association between mutation rate and populat... Read More about Spontaneous mutation rate is a plastic trait associated with population density across domains of life..

Evolutionary Adaptation to Social Information Use without Learning (2017)
Book Chapter

Analysis of Social Learning Strategies when Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution (2016)
Book Chapter

Open-Ended Evolution: Perspectives from the OEE1 Workshop in York (2016)
Journal Article

We describe the content and outcomes of the First Workshop on Open-Ended Evolution: Recent Progress and Future Milestones (OEE1), held during the ECAL 2015 conference at the University of York, UK, in July 2015. We briefly summarize the content of th... Read More about Open-Ended Evolution: Perspectives from the OEE1 Workshop in York.