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Erandi Lakshika
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2020 – today
- 2023
- [j12]Shuo Yang, Michael Barlow, Thomas Townsend, Xuejie Liu, Dilini Samarasinghe, Erandi Lakshika, Glennn Moy, Timothy M. Lynar, Benjamin P. Turnbull:
Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards. IEEE Access 11: 60737-60757 (2023) - [j11]Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow:
Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics. IEEE Access 11: 89077-89092 (2023) - [j10]Chamila Wijayarathna, Erandi Lakshika:
Toward Stress Detection During Gameplay: A Survey. IEEE Trans. Games 15(4): 549-565 (2023) - [c23]Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana:
Context-aware Agents based on Psychological Archetypes for Teamwork. AAMAS 2023: 2313-2315 - [c22]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika:
Competitive Collaboration for Complex Task Learning in Agent Systems. AI (2) 2023: 325-337 - [c21]Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana:
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. IJCAI 2023: 12-19 - 2022
- [j9]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika:
Flow-Based Reinforcement Learning. IEEE Access 10: 102247-102265 (2022) - [j8]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. Swarm Evol. Comput. 69: 101017 (2022) - [j7]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours. Swarm Evol. Comput. 73: 101106 (2022) - 2021
- [j6]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Timothy M. Lynar, Nour Moustafa, Thomas Townsend, Benjamin P. Turnbull:
A Data Driven Review of Board Game Design and Interactions of Their Mechanics. IEEE Access 9: 114051-114069 (2021) - [j5]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Exploiting abstractions for grammar-based learning of complex multi-agent behaviours. Int. J. Intell. Syst. 36(11): 6273-6311 (2021) - [j4]Shuo Yang, Michael Barlow, Kathryn Kasmarik, Erandi Lakshika:
A novel trust architecture integrating differentiated trust and response strategies for a team of agents. Int. J. Intell. Syst. 36(12): 7017-7052 (2021) - [c20]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. IVA 2021: 175-182 - [c19]Seham Abd Elkader, Michael Barlow, Erandi Lakshika:
Subject and Activity-wise Performance for Activity Independent Person Recognition. SSCI 2021: 1-8 - [c18]Shuo Yang, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. SSCI 2021: 1-9 - 2020
- [j3]Leigh Gray, Erandi Lakshika, Michael Barlow:
Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence. IEEE Trans. Games 12(4): 406-415 (2020) - [c17]Seham Hussein, Michael Barlow, Erandi Lakshika:
Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. Australasian Conference on Artificial Intelligence 2020: 383-394 - [c16]Dulakshi Wannigamage, Michael Barlow, Erandi Lakshika, Kathryn E. Kasmarik:
Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. Australasian Conference on Artificial Intelligence 2020: 458-469 - [c15]Nima Salimi, Michael Barlow, Erandi Lakshika:
Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. SSCI 2020: 1718-1724 - [e1]Marcus Gallagher, Nour Moustafa, Erandi Lakshika:
AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings. Lecture Notes in Computer Science 12576, Springer 2020, ISBN 978-3-030-64983-8 [contents]
2010 – 2019
- 2019
- [c14]Dulakshi Vihanga, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. CoG 2019: 1-8 - [c13]Teeranan Charoensook, Michael Barlow, Erandi Lakshika:
Heart Rate and Breathing Variability for Virtual Reality Game Play. SeGAH 2019: 1-7 - [c12]Darpan Dhawan, Michael Barlow, Erandi Lakshika:
Prosthetic Rehabilitation Training in Virtual Reality. SeGAH 2019: 1-8 - [c11]Nima Salimi, Michael Barlow, Erandi Lakshika:
Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. SSCI 2019: 393-398 - 2018
- [c10]Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik:
Automatic synthesis of swarm behavioural rules from their atomic components. GECCO 2018: 133-140 - [c9]Seham Abd Elkader, Michael Barlow, Erandi Lakshika:
Wearable sensors for recognizing individuals undertaking daily activities. UbiComp 2018: 64-67 - 2017
- [j2]Erandi Lakshika, Michael Barlow, Adam Easton:
Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework. IEEE Trans. Comput. Intell. AI Games 9(3): 277-289 (2017) - [c8]Erandi Lakshika, Michael Barlow:
Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective. SeGAH 2017: 1-8 - 2016
- [j1]Erandi Lakshika, Michael Barlow, Adam Easton:
Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement. Appl. Intell. 44(4): 862-877 (2016) - [c7]Michael Barlow, Erandi Lakshika:
What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution. CEC 2016: 3525-3532 - [c6]Erandi Lakshika, Michael Barlow:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 223-235 - [c5]James Dannatt, Michael Barlow, Erandi Lakshika:
A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health. SeGAH 2016: 1-8 - 2015
- [c4]Erandi Lakshika, Michael Barlow, Adam Easton:
Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement. Australasian Conference on Artificial Intelligence 2015: 330-342 - 2014
- [b1]Erandi Lakshika:
An exploration of the complexity-fidelity trade-off in multi-agent systems via an evolutionary framework. University of New South Wales, Canberra, Australia, 2014 - 2013
- [c3]Erandi Lakshika, Michael Barlow, Adam Easton:
Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework. ALIFE 2013: 82-89 - 2012
- [c2]Erandi Lakshika, Michael Barlow, Adam Easton:
Fidelity and complexity of standing group conversation simulations: A framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments. IEEE Congress on Evolutionary Computation 2012: 1-8
2000 – 2009
- 2008
- [c1]Erandi Lakshika, Chamath Keppitiyagama, Dulan Wathugala:
AOnesC: An Aspect-Oriented Extension to nesC. NTMS 2008: 1-5
Coauthor Index
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