Erandi Lakshika

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Venues

SSCI

SeGAH

IEEE Access

Australasian Conference on Artificial Intelligence

University of New South Wales, Canberra, Australia (PHD)

Education History

University of New South Wales, Canberra, Australia

PHD

Publications

Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams. IEEE Trans. Cogn. Dev. Syst. 16 (3) (2024)
Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Context-aware Agents based on Psychological Archetypes for Teamwork. AAMAS (2023)
Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow
Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics. IEEE Access 11 (2023)
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 (2023)
Chamila Wijayarathna, Erandi Lakshika
Toward Stress Detection During Gameplay: A Survey. IEEE Trans. Games 15 (4) (2023)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
Competitive Collaboration for Complex Task Learning in Agent Systems. AI (2) (2023)
Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. IJCAI (2023)
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 (2022)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. Swarm Evol. Comput. 69 (2022)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
Flow-Based Reinforcement Learning. IEEE Access 10 (2022)
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) (2021)
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) (2021)
Seham Abd Elkader, Michael Barlow, Erandi Lakshika
Subject and Activity-wise Performance for Activity Independent Person Recognition. SSCI (2021)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. IVA (2021)
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 (2021)
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)
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) (2020)
Nima Salimi, Michael Barlow, Erandi Lakshika
Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. SSCI (2020)
Seham Hussein, Michael Barlow, Erandi Lakshika
Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. Australasian Conference on Artificial Intelligence (2020)
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)
Nima Salimi, Michael Barlow, Erandi Lakshika
Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. SSCI (2019)
Dulakshi Vihanga, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. CoG (2019)
Teeranan Charoensook, Michael Barlow, Erandi Lakshika
Heart Rate and Breathing Variability for Virtual Reality Game Play. SeGAH (2019)
Darpan Dhawan, Michael Barlow, Erandi Lakshika
Prosthetic Rehabilitation Training in Virtual Reality. SeGAH (2019)
Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik
Automatic synthesis of swarm behavioural rules from their atomic components. GECCO (2018)
Seham Abd Elkader, Michael Barlow, Erandi Lakshika
Wearable sensors for recognizing individuals undertaking daily activities. UbiComp (2018)
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) (2017)
Erandi Lakshika, Michael Barlow
Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective. SeGAH (2017)
Erandi Lakshika, Michael Barlow
Proceedings in Adaptation, Learning and Optimization. IES (2016)
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)
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) (2016)
Michael Barlow, Erandi Lakshika
What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution. CEC (2016)
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)
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)
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)
Erandi Lakshika, Chamath Keppitiyagama, Dulan Wathugala
AOnesC: An Aspect-Oriented Extension to nesC. NTMS (2008)

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Publication Activity (10 Years)

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Erandi Lakshika