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133 results

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training

Conference Proceeding
Panagiaris, N., Hart, E., & Gkatzia, D. (in press)
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training
In this paper we consider the problem of optimizing neural Referring Expression Generation (REG) models with sequence level objectives. Recently reinforcement learning (RL) te...

Evolution of Diverse, Manufacturable Robot Body Plans

Conference Proceeding
Buchanan, E., Le Goff, L., Hart, E., Eiben, A. E., De Carlo, M., Li, W., …Tyrrell, A. M. (in press)
Evolution of Diverse, Manufacturable Robot Body Plans
Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robot...

Hardware Design for Autonomous Robot Evolution

Conference Proceeding
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Le Goff, L. K., …Tyrrell, A. M. (in press)
Hardware Design for Autonomous Robot Evolution
The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The t...

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples

Conference Proceeding
Babaagba, K., Tan, Z., & Hart, E. (2020)
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. https://doi.org/10.1109/CEC48606.2020.9185668
Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this,...

Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation

Conference Proceeding
Le Goff, L. K., Buchanan, E., Hart, E., Eiben, A. E., Li, W., De Carlo, M., …Tyrrell, A. M. (2020)
Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. In ALIFE 2020: The 2020 Conference on Artificial Life. , (432-440). https://doi.org/10.1162/isal_a_00299
In evolutionary robot systems where morphologies and controllers of real robots are simultaneously evolved, it is clear that there is likely to be requirements to refine the i...

On Pros and Cons of Evolving Topologies with Novelty Search

Conference Proceeding
Le Goff, L. K., Hart, E., Coninx, A., & Doncieux, S. (2020)
On Pros and Cons of Evolving Topologies with Novelty Search. In ALIFE 2020: The 2020 Conference on Artificial Life. , (423-431). https://doi.org/10.1162/isal_a_00291
Novelty search was proposed as a means of circumventing deception and providing selective pressure towards novel behaviours to provide a path towards open-ended evolution. Ini...

A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains

Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2020)
A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains. https://doi.org/10.1145/3377930.3390224

From disorganized equality to efficient hierarchy: how group size drives the evolution of hierarchy in human societies

Journal Article
Perret, C., Hart, E., & Powers, S. T. (2020)
From disorganized equality to efficient hierarchy: how group size drives the evolution of hierarchy in human societies. Proceedings of the Royal Society B: Biological Sciences, 287(1928), https://doi.org/10.1098/rspb.2020.0693
A manifest trend is that larger and more productive human groups shift from distributed to centralized decision-making. Voluntary theories propose that human groups shift to h...

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites

Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2020)
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. In Applications of Evolutionary Computation. EvoApplications 2020. , (117-132). https://doi.org/10.1007/978-3-030-43722-0_8
In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model r...

Using MAP-Elites to support policy making around Workforce Scheduling and Routing

Journal Article
Urquhart, N., Hart, E., & Hutcheson, W. (2020)
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107
English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an arc...
14 results

Improving Science-Informed Crab Fisheries Management in Brazil

2020 - 2021
The project offers a unique opportunity to engage with, actively contribute to and learn from a UK-Brazilian applied research project investigating the reproductive rhythmicity of the mangrove crab Uc...
Funder: Natural Environment Research Council | Value: £2,500

Hyperheuristics for infrastructure system optimisation

2020 - 2020
Continuum Industries novel software tech allows engineers to automate their work and evaluate millions of possible combinations of design parameters. Primary application lies in linear infrastructure ...
Funder: Data Lab | Value: £19,599

Towards Guided Self-Organisation in Artificial Complex Systems: A Swarm Robotics Case Study

2020 - 2022
Swarm robotics refers to the design and coordination of large numbers of simple physical robots. Uses include environmental applications such as pollution monitoring in the oceans using aquatic robots...
Funder: Royal Society | Value: £11,500

KTP: Intelligent Agents

2019 - 2022
Improving customer experience through intelligent workflow
Funder: Innovate UK | Value: £268,152

Autonomous Robot Evolution: Cradle to Grave

2018 - 2022
Robotics is changing the landscape of innovation. But traditional design approaches are not suited to novel or unknown habitats and contexts, for instance: robot colonies for ore mining, exploring or ...
Funder: Engineering and Physical Sciences Research Council | Value: £366,412

Production of final version smartphone application and data queries for citizen science research in Brazil to improve mangrove crab fisheries management

2017 - 2018
Production of final version smartphone application and data queries for citizen science research in Brazil to improve mangrove crab fisheries management.
Funder: Marine Alliance for Science & Technology for Scotland (Hosted by St Andrew's University) | Value: £1,200

Ensembles for Optimisation

2015 - 2016
Optimisation – finding cost-effective or high-performing solutions - is a key economic driver for business today. However, academic literature on search-based optimisation techniques reflects an escal...
Funder: Leverhulme Trust | Value: £34,465

FOCAS

2013 - 2016
FOCAS is a coordination action in the area of collective adaptive systems. It provides increased visibility to the research carried out by projects funded by the FOCAS FET Proactive Initiative and oth...
Funder: European Commission | Value: £639,999

Life Long Learning Hyper Heuristic Optimisation

2012 - 2015
This project aims to improve the current state of the art in developing optimisation tools which are relevant and acceptable to industry. This will be achieved by addressing industrial current concer...
Funder: Engineering and Physical Sciences Research Council | Value: £238,068

AWARENESS (Co-ordination Action)

2010 - 2013
For latest news and events, please see the project webpage here Awareness is a Coordination Action (CA), supporting research under the FP7: FET Proactive Intiative:Self-Awareness in Autonomic Systems...
Funder: European Commission | Value: £487,925
19 results

Privacy-preserving methods for Natural Language Processing

2020 - date
Richard Plant | Director of Studies: Dr Dimitra Gkatzia | Second Supervisor: Dr Valerio Giuffrida

On the role of NLP in the contact centre

2019 - date
Grant Anderson | Director of Studies: Prof Emma Hart | Second Supervisor: Dr Dimitra Gkatzia

Evolving Robust Behaviours for Robotic Swarms with a Modular Design Approach

2019 - date
Kirsty Montague | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

Algorithm selection using machine learning

2018 - date
Mhd Rateb Mhd Ziad Alissa | Director of Studies: Dr Kevin Sim | Second Supervisor: Prof Emma Hart

On diversity of neural referring expression generation

2017 - date
Nikolaos Panagiaris | Director of Studies: Dr Dimitra Gkatzia | Second Supervisor: Prof Emma Hart

Application of evolutionary machine learning in metamorphic malware analysis and detection

2017 - date
Ms Kehinde Babaagba | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Emma Hart

The evolutionary iron law of oligarchy

2016 - 2020
Explaining the origin and the evolution of cooperation has been a major challenge in many scientific fields. One of the outstanding species are humans, who are ca...
Cedric Perret | Director of Studies: Dr Simon Powers | Second Supervisor: Prof Emma Hart

Investigating and understanding the theoretical constructs and technical impactors on immersive dome user experience

2016 - 2019
Michael McKellar | Director of Studies: Dr Oli Mival | Second Supervisor: Prof David Benyon

Visualisation techniques to facilitate argument exploration

2015 - 2020
Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially...
Dana Khartabil | Director of Studies: Dr Simon Wells | Second Supervisor: Prof Jessie Kennedy

Getting stuck and getting help: How children access support when using technology

2015 - date
Ms Fiona Stewart | Director of Studies: Dr Gemma Webster | Second Supervisor: Dr Tom Flint
13 results

Prof. Emma Hart invited to join Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

16 September 2019
Prof. Emma Hart has been invited by Minister Kate Forbes to join a Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

Researchers from Nature-Inspired Intelligent Systems group win Best Paper Award@GECCO 2019

16 July 2019
PhD student Mohamad Alissa with supervisors Dr Kevin Sim and Prof. Emma Hart won the Best Paper award in the ECOM track at GECCO 2019 in Prague for their paper: Algorithm Selection Using Deep Learnin...

Prof . Emma Hart gives interview "An Insider's Guide to Evolutionary Computation"

17 December 2018
Laura van Beers from ContactEngine, a London based company delivering software that enables its customers to proactively engage customers in AI-driven conversations to fulfil their business objective...

Prof. Emma Hart invited to talk at Scotland IS Software Engineering Leader's Forum to discuss SICSA's work on AI

20 November 2018
Prof. Emma Hart gave an invited talk at the monthly meet-up of the Scotland IS Software Engineering forum on behalf of the SICSA AI theme to describe the work taking place across Scottish Universities...

Prof. Emma Hart interviewed in new video released by Sentient AI to provide unique insights to business leaders on the growing applicability of evolutionary computation

13 August 2018
Sentient Technologies, a world leader in artificial intelligence (AI) products based on evolutionary computation, today announced a new video collection that provides unique insights to the burgeonin...

Prof. Emma Hart and Dr Kevin Sim win Bronze Award in International Humies competition for work on predicting wind damage in Forestry

18 July 2018
The Annual Humies prize is awarded at the International Conference on Genetic and Evolutionary Computation for human-competitive results that have been produced by any form of genetic and evolutionar...

Evolutionary Robotics Research Nominated for Best Paper Award

14 July 2018
Prof. Emma Hart, Dr Andreas Steyven and Prof. Ben Paechter have been nominated for a prestigious best paper award at the GECCO 18, Kyoto, Japan for new work in evolving a diverse team of swarm robot...

Prof. Emma Hart invited as a keynote speaker at IJCCI in Funchal, Madeira, November 2017

1 November 2017
The International Joint Conference on Computational Intelligence brings together researchers, engineers and practitioners interested in the field of Computational Intelligence both from theoretical an...

CAVES researchers have 3 papers accepted at GECCO 2017

14 July 2017
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017. Accepted papers are: ...

Prof. Emma Hart interview with MIT Press on her new Editor-in-Chief role

17 February 2017
The New Year welcomed Emma Hart to the helm of Evolutionary Computation. She took over the role of Editor-in-Chief from Hans-Georg Beyer (who had assumed the role himself in 2010). Professor Hart ans...