Artificial Intelligence group
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Latest research outputs
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M-SSE: an effective searchable symmetric encryption with enhanced security for mobile devices
Gao, C., Lv, S., Wei, Y., Wang, Z., Liu, Z. and Cheng, X. 2018. M-SSE: an effective searchable symmetric encryption with enhanced security for mobile devices. IEEE Access. 6, pp. 38860-38869. https://doi.org/10.1109/ACCESS.2018.2852329Article
A distributed anomaly detection system for in-vehicle network using HTM
Wang, C., Zhao, Z., Gong, L., Zhu, L., Liu, Z. and Cheng, X. 2018. A distributed anomaly detection system for in-vehicle network using HTM. IEEE Access. 6, pp. 9091-9098. https://doi.org/10.1109/ACCESS.2018.2799210Article
An improved block matching algorithm for motion estimation in video sequences and application in robotics
Bhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A. 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering. 68, pp. 92-106. https://doi.org/10.1016/j.compeleceng.2018.03.045Article
Human and machine consciousness
Gamez, D. 2018. Human and machine consciousness. Cambridge, UK. Open Book Publishers.Authored Book
Bit mask-oriented genetic algorithm for grammatical inference and premature convergence
Pandey, H., Chaudhary, A. and Mehrotra, D. 2018. Bit mask-oriented genetic algorithm for grammatical inference and premature convergence. International Journal of Bio-Inspired Computation. 12 (1), pp. 54-69. https://doi.org/10.1504/IJBIC.2018.10014202Article
Crime pattern recognition based on high-performance computing
Eissa, A., Cheng, X. and Petridis, M. 2018. Crime pattern recognition based on high-performance computing. 2017 International Conference Next Generation Community Policing. Heraklion, Crete, Greece 25 - 27 Oct 2017Conference paper
The neural cognitive architecture
Huyck, C. 2017. The neural cognitive architecture. AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind. Arlington, Virginia, USA 09 - 11 Nov 2017 Association for the Advancement of Artificial Intelligence (AAAI). pp. 365-370Conference paper
Neuron-based control mechanisms for a robotic arm and hand
Singh, N., Huyck, C., Gandhi, V. and Jones, A. 2017. Neuron-based control mechanisms for a robotic arm and hand. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 11 (2), pp. 221-229. https://doi.org/10.5281/zenodo.1128871Article
Enhancing active vision system categorization capability through uniform local binary patterns
Lanihun, O., Tiddeman, B., Tuci, E. and Shaw, P. 2015. Enhancing active vision system categorization capability through uniform local binary patterns. ALIA 2014: 1st Artificial Life and Intelligent Agents symposium. Bangor, United Kingdom 05 - 06 Nov 2014 Springer. https://doi.org/10.1007/978-3-319-18084-7_3Conference paper
Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching
Tuci, E. 2014. Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching. ANTS 2014: International Conference on Swarm Intelligence. Brussels, Belgium 10 - 12 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-09952-1_9Conference paper
Simulated road following using neuroevolution
Narayan, A., Tuci, E. and Labrosse, F. 2015. Simulated road following using neuroevolution. ALIA 2014: 1st Artificial Life and Intelligent Agents symposium. Bangor, United Kingdom 05 - 06 Nov 2014 Springer. https://doi.org/10.1007/978-3-319-18084-7_2Conference paper
An active vision approach to the road following problem
Narayan, A., Labrosse, F. and Tuci, E. 2015. An active vision approach to the road following problem. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Hamburg, Germany 28 Sep - 02 Oct 2015 pp. 4650-4655 https://doi.org/10.1109/IROS.2015.7354039Conference paper
Design and analysis of proximate mechanisms for cooperative transport in real robots
Mohammed Alkilabi, M., Narayan, A. and Tuci, E. 2016. Design and analysis of proximate mechanisms for cooperative transport in real robots. ANTS 2016:10th International Conference on Swarm Intelligence. Brussels, Belgium 07 - 09 Sep 2016 Springer. https://doi.org/10.1007/978-3-319-44427-7_9Conference paper
On the evolution of homogeneous two-robot teams: clonal versus aclonal approaches
Tuci, E. and Trianni, V. 2014. On the evolution of homogeneous two-robot teams: clonal versus aclonal approaches. Neural Computing and Applications. 25 (5), pp. 1063-1076. https://doi.org/10.1007/s00521-014-1594-0Article
On the design of generalist strategies for swarms of simulated robots engaged in a task-allocation scenario
Tuci, E. and Rabérin, A. 2015. On the design of generalist strategies for swarms of simulated robots engaged in a task-allocation scenario. Swarm Intelligence. 9 (4), pp. 267-290. https://doi.org/10.1007/s11721-015-0113-yArticle
Embodied language learning and cognitive bootstrapping: methods and design principles
Lyon, C., Nehaniv, C., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Förster, F., Lehmann, H., Metta, G., Mohan, V., Morse, A., Nolfi, S., Nori, F., Rohlfing, K., Sciutti, A., Tani, J., Tuci, E., Wrede, B., Zeschel, A. and Cangelosi, A. 2016. Embodied language learning and cognitive bootstrapping: methods and design principles. International Journal of Advanced Robotic Systems. 13 (3), p. 105. https://doi.org/10.5772/63462Article
Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies
Alkilabi, M., Narayan, A. and Tuci, E. 2017. Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies. Swarm Intelligence. 11 (3-4), pp. 185-209. https://doi.org/10.1007/s11721-017-0135-8Article
Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles
Giagkos, A., Tuci, E., Wilson, M. and Charlesworth, P. 2014. Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. TAROS 2014: 15th Towards Autonomous Robotic Systems annual conference. Birmingham, United Kingdom 01 - 03 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-10401-0_5Conference paper
Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover
Aston, E., Channon, A., Belavkin, R., Gifford, D., Krašovec, R. and Knight, C. 2017. Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover. Scientific Reports. 7 (1). https://doi.org/10.1038/s41598-017-14628-xArticle
Spontaneous mutation rate is a plastic trait associated with population density across domains of life
Krašovec, R., Richards, H., Gifford, D., Hatcher, C., Faulkner, K., Belavkin, R., Channon, A., Aston, E., McBain, A. and Knight, C. 2017. Spontaneous mutation rate is a plastic trait associated with population density across domains of life. PLOS Biology. 15 (8). https://doi.org/10.1371/journal.pbio.2002731Article
Application of deep learning neural network for classification of TB lung CT images based on patches
Gao, X. and Qian, Y. 2017. Application of deep learning neural network for classification of TB lung CT images based on patches. ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF: CLEF 2017: Conference and Labs of the Evaluation Forum. Dublin, Ireland 11 - 14 Sep 2017 CEUR Workshop Proceedings (CEUR-WS.org).Conference paper
Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]
Huyck, C. 2017. Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]. Cognitive Systems Research. 41, pp. 36-37. https://doi.org/10.1016/j.cogsys.2016.09.002Article
Programming with simulated neurons: a first design pattern
Evans, C., Mitchell, I. and Huyck, C. 2016. Programming with simulated neurons: a first design pattern. PPIG 2016 - 27th Annual Workshop of the Psychology of Programming Interest Group. University of Cambridge, Cambridge, UK 07 - 10 Sep 2016 Psychology of Programming Interest Group. pp. 36-45Conference paper
Interactive evolutionary generative art
Hernandez Mengesha, L. and James-Reynolds, C. 2016. Interactive evolutionary generative art. AI-2016 Thirty-sixth SGAI International Conference on Artificial Intelligence. Cambridge, UK 13 - 15 Dec 2016 Springer. pp. 377-382 https://doi.org/10.1007/978-3-319-47175-4_28Conference paper
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics. Jeju, South Korea 10 - 13 Jul 2016 IEEE. pp. 799-806 https://doi.org/10.1109/ICMLC.2016.7872990Conference paper
PlaNeural: spiking neural networks that plan
Mitchell, I., Huyck, C. and Evans, C. 2016. PlaNeural: spiking neural networks that plan. 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016. New York City, NY, USA 16 Jul 2016 Elsevier. pp. 198-204 https://doi.org/10.1016/j.procs.2016.07.425Conference paper
EEuGene: employing electroencephalograph signals in the rating strategy of a hardware-based interactive genetic algorithm
James-Reynolds, C. and Currie, E. 2016. EEuGene: employing electroencephalograph signals in the rating strategy of a hardware-based interactive genetic algorithm. AI-2016 Thirty-sixth SGAI International Conference on Artificial Intelligence. Cambridge, UK 13 - 15 Dec 2016 Springer. pp. 343-353 https://doi.org/10.1007/978-3-319-47175-4_25Conference paper
Monotonicity of fitness landscapes and mutation rate control
Belavkin, R., Channon, A., Aston, E., Aston, J., Krašovec, R. and Knight, C. 2016. Monotonicity of fitness landscapes and mutation rate control. Journal of Mathematical Biology. 73 (6-7), pp. 1491-1524. https://doi.org/10.1007/s00285-016-0995-3Article
Advancing ambient assisted living with caution
Huyck, C., Augusto, J., Gao, X. and Botia, J. 2015. Advancing ambient assisted living with caution. in: Helfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C. (ed.) Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers Springer.Book chapter
Eugene: a generic interactive genetic algorithm controller
James-Reynolds, C. and Currie, E. 2015. Eugene: a generic interactive genetic algorithm controller. AI-2015: Thirty-fifth SGAI International Conference on Artificial Intelligence. Cambridge, UK 15 - 17 Dec 2015 Springer International Publishing. pp. 361-366Conference poster
Neural constraints and flexibility in language processing
Huyck, C. 2016. Neural constraints and flexibility in language processing. Behavioral and Brain Sciences: An International Journal of Current Research and Theory with Open Peer Commentary. 39, p. e78. https://doi.org/10.1017/s0140525x15000837Article
Merging first-order knowledge using dilation operators
Gorogiannis, N. and Hunter, A. 2008. Merging first-order knowledge using dilation operators. FOIKS 2008. https://doi.org/10.1007/978-3-540-77684-0_11Conference paper
Requirements, specifications, and minimal refinement
Gorogiannis, N. and Ryan, M. 2002. Requirements, specifications, and minimal refinement. WoLLIC 2002: 9th Workshop on Logic, Language, Information and Computation. Rio de Janeiro, Brazil 30 Jul - 02 Aug 2002 Elsevier. https://doi.org/10.1016/S1571-0661(04)80550-4Conference paper
Instantiating abstract argumentation with classical logic arguments: postulates and properties
Gorogiannis, N. and Hunter, A. 2011. Instantiating abstract argumentation with classical logic arguments: postulates and properties. Artificial Intelligence. 175 (9-10), pp. 1479-1497. https://doi.org/10.1016/j.artint.2010.12.003Article
An argument-based approach to reasoning with clinical knowledge
Gorogiannis, N., Hunter, A. and Williams, M. 2009. An argument-based approach to reasoning with clinical knowledge. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems. 51 (1), pp. 1-22. https://doi.org/10.1016/j.ijar.2009.06.015Article
Minimal refinements of specifications in modal and temporal logics
Gorogiannis, N. and Ryan, M. 2007. Minimal refinements of specifications in modal and temporal logics. Formal Aspects of Computing. 19 (4), pp. 417-444. https://doi.org/10.1007/s00165-007-0040-9Article
Implementation of belief change operators using BDDs
Gorogiannis, N. and Ryan, M. 2002. Implementation of belief change operators using BDDs. Studia Logica. 70 (1), pp. 131-156. https://doi.org/10.1023/A:1014610426691Article
Self organising maps with a point neuron model
Huyck, C. and Mitchell, I. 2013. Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems.Article
A comparison of simple agents implemented in simulated neurons
Huyck, C., Evans, C. and Mitchell, I. 2015. A comparison of simple agents implemented in simulated neurons. Biologically Inspired Cognitive Architectures. 12, pp. 9-19. https://doi.org/10.1016/j.bica.2015.03.001Article
A review of cell assemblies
Huyck, C. and Passmore, P. 2013. A review of cell assemblies. Biological Cybernetics. 107 (3), pp. 263-288. https://doi.org/10.1007/s00422-013-0555-5Article
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