Browse by UCL people
Group by: Type | Date
Number of items: 41.
2025
Bentley, Peter J;
Lim, Soo Ling;
Ishikawa, Fuyuki;
(2025)
CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction.
In: Ochoa, G, (ed.)
GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference.
(pp. pp. 1328-1336).
ACM
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Chow, Paco CK;
Bentley, Peter J;
(2025)
Development necessitates evolutionarily conserved factors.
Scientific Reports
, 15
, Article 9910. 10.1038/s41598-025-92541-4.
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2024
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Bentley, PJ;
Lim, SL;
Mathur, R;
Narang, S;
(2024)
Automated Real-World Sustainability Data Generation from Images of Buildings.
In:
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2024.
(pp. 01-06).
IEEE: Male, Maldives.
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Bentley, PJ;
Mathur, R;
Lim, SL;
Narang, S;
(2024)
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration.
In:
2024 5th International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2024.
(pp. pp. 164-171).
IEEE
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Lim, Soo Ling;
Bentley, Peter J;
Ishikawa, Fuyuki;
(2024)
SCAPE: Searching Conceptual Architecture Prompts using Evolution.
In:
2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings.
(pp. 01-08).
IEEE: Yokohama, Japan.
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2023
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Bentley, Peter J;
Lim, Soo Ling;
Arcaini, Paolo;
Ishikawa, Fuyuki;
(2023)
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery.
In: Paquete, L, (ed.)
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference.
(pp. pp. 1303-1311).
Association for Computing Machinery (ACM): New York, NY, USA.
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2022
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Bentley, Peter J;
Lim, Soo Ling;
(2022)
From evolutionary ecosystem simulations to computational models of human behavior.
WIREs Cognitive Science
, Article e1622. 10.1002/wcs.1622.
(In press).
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Bentley, Peter J;
Lim, Soo Ling;
Gaier, Adam;
Tran, Linh;
(2022)
COIL: Constrained optimization in learned latent space: learning representations for valid solutions.
In: Fieldsend, Jonathan E and Wagner, Markus, (eds.)
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1870-1877).
Association for Computing Machinery (ACM): New York, NY, USA.
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Bentley, PJ;
Lim, SL;
Gaier, A;
Tran, L;
(2022)
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.
In:
Parallel Problem Solving from Nature – PPSN XVII.
(pp. pp. 371-384).
Springer Nature: Cham, Switzerland.
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Gaier, A;
Stoddart, J;
Villaggi, L;
Bentley, PJ;
(2022)
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.
In:
Parallel Problem Solving from Nature – PPSN XVII.
(pp. pp. 263-277).
Springer Nature: Cham, Switzerland.
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Lim, SL;
Bentley, PJ;
(2022)
Opinion amplification causes extreme polarization in social networks.
Scientific Reports
, 12
(1)
, Article 18131. 10.1038/s41598-022-22856-z.
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2021
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Baomar, H;
Bentley, P;
(2021)
Autonomous flight cycles and extreme landings of airliners beyond the current limits and capabilities using artificial neural networks.
Applied Intelligence
10.1007/s10489-021-02202-y.
(In press).
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Bentley, PJ;
Lim, SL;
Jindal, S;
Narang, S;
(2021)
Generating synthetic energy usage data to enable machine learning for sustainable accommodation.
In:
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
IEEE: Mauritius, Mauritius.
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2020
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Guo, S;
Lim, SL;
Bentley, PJ;
(2020)
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork.
In:
Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI) 2020.
(pp. pp. 109-116).
The Institute of Electrical and Electronics Engineers (IEEE)
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Lehman, J;
Clune, J;
Misevic, D;
Adami, C;
Altenberg, L;
Beaulieu, J;
Bentley, PJ;
... Yosinski, J; + view all
(2020)
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artificial Life
, 26
(2)
pp. 274-306.
10.1162/artl_a_00319.
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Lim, S;
Bentley, P;
Ishikawa, F;
(2020)
Reaching the Unreachable: A Method for Early Stage Software Startups to Reach Inaccessible Stakeholders within Large Corporations.
In:
Proceedings of the 28th IEEE Requirements Engineering Conference (RE'20).
IEEE: Zurich, Switzerland.
(In press).
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Lim, S;
Kuo, Y;
Bentley, P;
(2020)
Constraint Handling in Genotype to Phenotype Mapping and
Genetic Operators for Project Staffing.
In:
Proceedings of ACM GECCO conference.
ACM
(In press).
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2019
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Araujo, A;
Zhang, H;
Rübben, A;
Bentley, PJ;
(2019)
Investigating the Origins of Cancer in the Intestinal Crypt with a Gene Network Agent Based Hybrid Model.
In: Fellermann, H and Bacardit, J and Goñi-Moreno, Á and Füchslin, RM, (eds.)
ALIFE 2019: The 2019 Conference on Artificial Life.
(pp. pp. 195-202).
The MIT Press: Newcastle, UK.
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Kozdon, K;
Bentley, P;
(2019)
Normalisation of Weights and Firing Rates in Spiking Neural Networks with Spike-Timing-Dependent Plasticity.
In:
Proceedings of the 2019 Conference on Artificial Life.
Developmental Neural Networks: Newcastle, United Kingdom.
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Lim, S;
Bentley, P;
(2019)
Diversity Improves Teamwork: Optimising Teams using a Genetic Algorithm.
In:
Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC).
(pp. pp. 2878-2855).
IEEE: Wellington, New Zealand, New Zealand.
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Lim, S;
Bentley, P;
(2019)
All in Good Team: Optimising Team Personalities for Different Dynamic Problems and Task Types.
In:
ALIFE 2019: Proceedings of the Artificial Life Conference.
(pp. pp. 153-160).
MIT Press
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Schoots, N;
Lim, S;
Bentley, P;
(2019)
Investigating Conformity by Personality Type.
In: Lim, Soo Ling and Bentley, Peter J and Prouty McLaren, Jo Ellyn and Peterson, Randall S, (eds.)
Proceedings of the 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB).
Agent-Based Modelling of Human Behaviour (ABMHuB): Newcastle, UK.
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2018
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Araujo, A;
Ruebben, A;
Bentley, PJ;
Basanta, D;
(2018)
Testing Three Hypotheses of the Contribution of Geometry and Migration Dynamics to Intestine Crypt Evolution.
In: Ikegami, T and Virgo, N and Witkowski, O and Oka, M and Suzuki, R and Iizuka, H, (eds.)
Artificial Life Conference Proceedings.
(pp. pp. 420-427).
MIT Press
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Baomar, H;
Bentley, PJ;
(2018)
Autonomous navigation and landing of large jets using Artificial Neural Networks and learning by imitation.
In:
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE: Honolulu, HI, USA.
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Kozdon, K;
Bentley, P;
(2018)
Wide learning: Using an ensemble of biologically-plausible spiking neural networks for unsupervised parallel classification of spatio-temporal patterns.
In: Bonissone, PP and Fogel, D, (eds.)
2017 IEEE Symposium Series on Computational Intelligence (SSCI).
(pp. pp. 3183-3190).
IEEE
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Kozdon, KW;
Bentley, P;
(2018)
The Evolution of Training Parameters for Spiking Neural Networks with Hebbian Learning.
In: Ikegami, T and Virgo, N and Witkowski, O and Oka, M and Suzuki, R and Iizuka, H, (eds.)
ALIFE 2018: The 2018 Conference on Artificial Life.
(pp. pp. 276-283).
MIT Press
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Lim, SL;
Bentley, PJ;
(2018)
Coping with Uncertainty: Modelling Personality when Collaborating on Noisy Problems.
In:
ALIFE 2018: Proceedings of the Artificial Life Conference.
(pp. pp. 566-573).
MIT Press
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Meltzer, P;
Bentley, PJ;
(2018)
Interacting Hierarchical Dynamic Networks.
In: Ikegami, T and Virgo, N and Witkowski, O and Oka, M and Suzuki, R and Iizuka, H, (eds.)
Artificial Life Conference Proceedings.
(pp. pp. 582-589).
MIT Press
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Shimada, K;
Bentley, P;
(2018)
Learning how to flock: Deriving individual behaviour from collective behaviour with multi-agent reinforcement learning and natural evolution strategies.
In:
Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 169-170).
ACM: Kyoto, Japan.
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2017
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Adham, MT;
Bentley, PJ;
Diaz, D;
(2017)
Evaluating decomposition strategies to enable scalable scheduling for a real-world multi-line steel scheduling problem.
In:
(Proceedings) 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
(pp. pp. 1-8).
IEEE
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Adham, MT;
Bentley, PJ;
Diaz, D;
(2017)
Evaluating Decomposition Strategies to Enable Scalable Scheduling for a Real-World Multi-line Steel Scheduling Problem.
In:
(Proceedings) IEEE Symposium Series on Computational Intelligence (IEEE SSCI).
(pp. pp. 3130-3137).
IEEE
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Baomar, HAO;
Bentley, PJ;
(2017)
Autonomous Landing and Go-around of Large Jets Under Severe Weather Conditions Using Artificial Neural Networks.
In:
Proceedings of the 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS).
IEEE: Linköping, Sweden.
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Baomar, HAO;
Bentley, PJ;
(2017)
An Intelligent Autopilot System that Learns Flight Emergency Procedures by Imitating Human Pilots.
In:
2016 IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE
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Bentley, PJ;
Lim, SL;
(2017)
Fault Tolerant Fusion of Office Sensor Data using Cartesian Genetic Programming.
In:
2017 IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE
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Deng, Y;
Bentley, PJ;
Momshad, A;
(2017)
Improving Artificial-Immune-System-based computing by exploiting intrinsic features of computer architectures.
In:
2016 IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE
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Lim, SL;
Bentley, PJ;
(2017)
Using PseudoGravity to Attract People: An Automated Approach to Engaging a Target Audience using Twitter.
In:
Proceedings of the 2017 Future Technologies Conference (FTC).
(pp. pp. 515-524).
The Science and Information (SAI) Organization
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2016
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Baomar, H;
Bentley, PJ;
(2016)
An Intelligent Autopilot System that learns piloting skills from human pilots by imitation.
In: Chen, YQ, (ed.)
2016 International Conference on Unmanned Aircraft Systems (ICUAS 2016).
(pp. pp. 1023-1031).
Institute of Electrical and Electronics Engineers (IEEE)
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de C Williams, AC;
Gallagher, E;
Fidalgo, AR;
Bentley, PJ;
(2016)
Pain expressiveness and altruistic behavior: an exploration using agent-based modeling.
Pain
, 157
(3)
pp. 759-768.
10.1097/j.pain.0000000000000443.
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Hanna, S;
Bentley, P;
(2016)
Design Computing and Cognition (DCC'14).
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
, 30
(2)
pp. 123-124.
10.1017/S0890060416000019.
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2013
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Araujo, A;
Baum, B;
Bentley, P;
(2013)
The role of chromosome missegregation in cancer development: a theoretical approach using agent-based modelling.
PLoS One
, 8
(8)
, Article e72206. 10.1371/journal.pone.0072206.
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2007
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BENTLEY, PJ;
(2007)
Generic Evolutionary Design of Solid Objects using a Genetic Algorithm.
Doctoral thesis , UNSPECIFIED.
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