By Dr Erandi Lakshika Hene Kankanamge

Books

Gallagher M; Moustafa N; Lakshika E, 2020, Preface

Book Chapters

Samarasinghe D; Barlow M; Lakshika E, 2024, 'Competitive Collaboration for Complex Task Learning in Agent Systems', in , pp. 325 - 337, http://dx.doi.org/10.1007/978-981-99-8391-9_26

Lakshika E; Barlow M, 2017, 'Computational Intelligence Approaches to Computational Aesthetics', in Encyclopedia of Information Science and Technology, Fourth Edition, IGI Global, pp. 156 - 165, http://dx.doi.org/10.4018/978-1-5225-2255-3.ch014

Journal articles

Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2024, 'Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams', IEEE Transactions on Cognitive and Developmental Systems, 16, pp. 1027 - 1040, http://dx.doi.org/10.1109/TCDS.2023.3321924

Wijayarathna C; Lakshika E, 2023, 'Toward Stress Detection During Gameplay: A Survey', IEEE Transactions on Games, 15, pp. 549 - 565, http://dx.doi.org/10.1109/TG.2022.3216404

Yang S; Samarasinghe D; Arukgoda A; Abpeikar S; Lakshika E; Barlow M, 2023, 'Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics', IEEE Access, 11, pp. 89077 - 89092, http://dx.doi.org/10.1109/ACCESS.2023.3304682

Yang S; Barlow M; Townsend T; Liu X; Samarasinghe D; Lakshika E; Moy G; Lynar T; Turnbull B, 2023, 'Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards', IEEE Access, 11, pp. 60737 - 60757, http://dx.doi.org/10.1109/ACCESS.2023.3287100

Samarasinghe D; Barlow M; Lakshika E; Kasmarik K, 2022, 'Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours', Swarm and Evolutionary Computation, 73, http://dx.doi.org/10.1016/j.swevo.2022.101106

Samarasinghe D; Barlow M; Lakshika E, 2022, 'Flow-Based Reinforcement Learning', IEEE Access, 10, pp. 102247 - 102265, http://dx.doi.org/10.1109/ACCESS.2022.3209260

Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Lynar T; Moustafa N; Townsend T; Turnbull B, 2021, 'A Data Driven Review of Board Game Design and Interactions of Their Mechanics', IEEE Access, 9, pp. 114051 - 114069, http://dx.doi.org/10.1109/ACCESS.2021.3103198

Yang S; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'A Novel Trust Architecture Integrating Differentiated Trust and Response Strategies for a Team of Agents', International Journal of Intelligent Systems, 36, pp. 7017 - 7052, http://dx.doi.org/10.1002/int.22578

Samarasinghe Widana Arachchige D; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'Exploiting Abstractions for Grammar-Based Learning of Complex Multi-Agent Behaviours', International Journal of Intelligent Systems, 36, pp. 6273 - 6311, http://dx.doi.org/10.1002/int.22550

Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 2021, 'Grammar-Based Cooperative Learning for Evolving Collective Behaviours in Multi-Agent Systems', Swarm and Evolutionary Computation, 69, pp. 101017, http://dx.doi.org/10.1016/j.swevo.2021.101017

Gray L; Lakshika E; Barlow M, 2020, 'Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence', IEEE Transactions on Games, 12, pp. 406 - 415, http://dx.doi.org/10.1109/TG.2020.3040357

Lakshika E; Barlow M; Easton A, 2017, 'Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework', IEEE Transactions on Computational Intelligence and AI in Games, 9, pp. 277 - 289, http://dx.doi.org/10.1109/TCIAIG.2016.2560882

Lakshika E; Barlow M; Easton A, 2016, 'Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement', Applied Intelligence, 44, pp. 862 - 877, http://dx.doi.org/10.1007/s10489-015-0733-3

Conference Papers

Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2023, 'Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments', in IJCAI International Joint Conference on Artificial Intelligence, pp. 12 - 19, http://dx.doi.org/10.24963/ijcai.2023/2

Yang S; Barlow M; Lakshika E; Kasmarik K, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Orlando, FL, USA, pp. 1 - 9, presented at 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 05 December 2021, http://dx.doi.org/10.1109/SSCI50451.2021.9659848

Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 2021, 'Task Allocation in Multi-Agent Systems with Grammar-Based Evolution', in Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, IVA 2021, Association for Computing Machinery (ACM), Japan, pp. 175 - 182, presented at International Conference on Intelligent Virtual Agents, IVA 2021, Japan, 14 September 2021 - 17 September 2021, http://dx.doi.org/10.1145/3472306.3478337

Elkader SA; Barlow M; Lakshika E, 2021, 'Subject and Activity-wise Performance for Activity Independent Person Recognition', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, http://dx.doi.org/10.1109/SSCI50451.2021.9660017

Yang S; Barlow M; Lakshika E; Kasmarik K, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', Orlando, Florida, USA, presented at IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA

Salimi N; Barlow M; Lakshika E, 2020, 'Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1718 - 1724, http://dx.doi.org/10.1109/SSCI47803.2020.9308487

Hussein S; Barlow M; Lakshika E, 2020, 'Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 383 - 394, http://dx.doi.org/10.1007/978-3-030-64984-5_30

Wannigamage D; Barlow M; Lakshika E; Kasmarik K, 2020, 'Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 458 - 469, http://dx.doi.org/10.1007/978-3-030-64984-5_36

Salimi N; Barlow M; Lakshika E, 2019, 'Mental Workload Classification Using Short Duration EEG Data: An Ensemble Approach Based on Individual Channels', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 393 - 398, http://dx.doi.org/10.1109/SSCI44817.2019.9003141

Charoensook T; Barlow M; Lakshika E, 2019, 'Heart Rate and Breathing Variability for Virtual Reality Game Play', in 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019, http://dx.doi.org/10.1109/SeGAH.2019.8882434

Dhawan D; Barlow M; Lakshika E, 2019, 'Prosthetic Rehabilitation Training in Virtual Reality', in 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019, http://dx.doi.org/10.1109/SeGAH.2019.8882455

Vihanga D; Barlow M; Lakshika E; Kasmarik K, 2019, 'Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach', in IEEE Conference on Games, London, UK, presented at IEEE Conference on Games, London, UK

Elkader SA; Barlow M; Lakshika E, 2018, 'Wearable sensors for recognizing individuals undertaking daily activities', in Proceedings - International Symposium on Wearable Computers, ISWC, pp. 64 - 67, http://dx.doi.org/10.1145/3267242.3267245

Samarasinghe Widana Arachchige D; Lakshika E; Barlow M; Kasmarik KE, 2018, 'Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components', in Aguirre H (ed.), GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), Kyoto Japan, pp. 133 - 140, presented at GECCO 2018, Kyoto Japan, - , http://dx.doi.org/10.1145/3205455.3205546

Leu G; Tang J; Lakshika E; Kasmarik K; Barlow M; Tang J, 2017, 'Curriculum optimisation via evolutionary computation, for a neural learner robust to categorical adversarial samples', in Defence Technology - Japan (ACDT), 2017 Fourth Asian Conference on, IEEE Xplore, Tokyo, pp. 1 - 6, presented at The 4th Asian Conference on Defence Technology, Tokyo, 29 November 2017 - 01 December 2017, http://dx.doi.org/10.1109/ACDTJ.2017.8259585

Lakshika E; Barlow M, 2017, 'Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective', Perth Australia, presented at 2017 IEEE 5th International Conference on Serious Games and Applications for Health, Perth Australia, 02 April 2017 - 04 April 2017, http://dx.doi.org/10.1109/SeGAH.2017.7939274

Leu G; Kasmarik KE; Tang J; Lakshika E; Barlow M, 2017, 'Machine Education - the way forward for achieving trust-enabled machine agents', USA, presented at NIPS’17 Workshop on Teaching Machines, Robots, and Humans, USA, -

Barlow M; Lakshika E, 2016, 'What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 3525 - 3532, http://dx.doi.org/10.1109/CEC.2016.7744236

Dannatt J; Barlow M; Lakshika E, 2016, 'A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health', in 2016 IEEE International Conference on Serious Games and Applications for Health, SeGAH 2016, IEEE, Orlando, FL, USA, presented at 2016 IEEE International Conference, Orlando, FL, USA, 11 May 2016 - 13 May 2016, http://dx.doi.org/10.1109/SeGAH.2016.7586257

Lakshika E; Barlow M, 2016, 'On Deriving a Relationship Between Complexity and Fidelity in Rule Based Multi-agent Systems', Springer Nature, pp. 223 - 235, http://dx.doi.org/10.1007/978-3-319-49049-6_16

Lakshika E; Barlow M; Sarker R; Gaidow S, 2015, 'Analysing Truck-Trailer-Flatrack Mix for a Given Road Network with Known Supply and Demand', in Weber T; McPhee MJ; Anderssen RS (eds.), Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC, Gold Coast, Australia, pp. 910 - 916, presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 November 2015 - 04 December 2015, http://www.mssanz.org.au/modsim2015/D5/lakshika.pdf

Lakshika E; Barlow M; Easton A, 2015, 'Evolving high fidelity low complexity sheepdog herding simulations using a machine learner fitness function surrogate for human judgement', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 330 - 342, http://dx.doi.org/10.1007/978-3-319-26350-2_29

Lakshika E; Barlow M; Easton A, 2013, 'Co-evolving Semi-competitive Interactions of Sheepdog Herding Behaviors Utilizing a Simple Rule-based Multi Agent Framework', in Proceedings of 2013 IEEE Symposium on Artificial Life, presented at 2013 IEEE Symposium on Artificial Life (ALIFE), 16 April 2013 - 19 April 2013

Lakshika E; Barlow M; Easton A, 2013, 'Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework.', in ALIFE, IEEE, pp. 82 - 89, https://ieeexplore.ieee.org/xpl/conhome/6588671/proceeding

Lakshika E; Barlow MG; Easton AC, 2012, 'Fidelity and complexity of standing group conversation simulations: a framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments', in Evolutionary Computation (CEC), 2012 IEEE Congress on, IEEE Press, USA, pp. 8 pp., presented at 2012 IEEE Congress on Evolutionary Computation (CEC), Brisbane, QLD, 10 June 2012 - 15 June 2012, http://dx.doi.org/10.1109/CEC.2012.6256473

Lakshika E; Keppitiyagama C; Wathugala D, 2008, 'AOnesC: An aspect-oriented extension to nesC', in Proceedings of New Technologies, Mobility and Security Conference and Workshops, NTMS 2008, http://dx.doi.org/10.1109/NTMS.2008.ECP.24

Conference Proceedings (Editor of)

Gallagher M; Moustafa N; Lakshika E, (eds.), 2020, 'AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings', Springer, Vol. 12576

Conference Abstracts

Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2023, 'Context-aware agents based on psychological archetypes for teamwork', in AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, London, U.K., Vol. 2023-May, pp. 2313 - 2315, presented at AAMAS '23: International Conference on Autonomous Agents and Multiagent Systems, London, U.K., 29 May 2023, https://dl.acm.org/doi/abs/10.5555/3545946.3598918

Preprints

Lakshika E; Barlow M; Yang S; Barlow Z; Townsend T, 2023, A General Exergaming Interface: Impact upon Heart Rate, Enjoyment and Immersion across Multiple Games (Preprint), http://dx.doi.org/10.2196/preprints.55543

Back to profile page