AOnesC: An Aspect-Oriented Extension to nesC. - Erandi Lakshika; Chamath Keppitiyagama; Dulan Wathugala (NTMS, 2008)

Fidelity and complexity of standing group conversation simulations: A framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments. - Erandi Lakshika; Michael Barlow 001; Adam Easton (IEEE Congress on Evolutionary Computation, 2012)

Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework. - Erandi Lakshika; Michael Barlow 001; Adam Easton (ALIFE, 2013)

An exploration of the complexity-fidelity trade-off in multi-agent systems via an evolutionary framework. - Erandi Lakshika (2014)

Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement. - Erandi Lakshika; Michael Barlow 001; Adam Easton (Australasian Conference on Artificial Intelligence, 2015)

What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution. - Michael Barlow 001; Erandi Lakshika (CEC, 2016)

Proceedings in Adaptation, Learning and Optimization. - Erandi Lakshika; Michael Barlow 001 (IES, 2016)

A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health. - James Dannatt; Michael Barlow 001; Erandi Lakshika (SeGAH, 2016)

Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement. - Erandi Lakshika; Michael Barlow 001; Adam Easton (Appl. Intell., 2016)

Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective. - Erandi Lakshika; Michael Barlow 001 (SeGAH, 2017)

Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework. - Erandi Lakshika; Michael Barlow 001; Adam Easton (IEEE Trans. Comput. Intell. AI Games, 2017)

Automatic synthesis of swarm behavioural rules from their atomic components. - Dilini Samarasinghe; Erandi Lakshika; Michael Barlow 001; Kathryn Kasmarik (GECCO, 2018)

Wearable sensors for recognizing individuals undertaking daily activities. - Seham Abd Elkader; Michael Barlow 001; Erandi Lakshika (UbiComp, 2018)

Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. - Dulakshi Vihanga; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (CoG, 2019)

Heart Rate and Breathing Variability for Virtual Reality Game Play. - Teeranan Charoensook; Michael Barlow 001; Erandi Lakshika (SeGAH, 2019)

Prosthetic Rehabilitation Training in Virtual Reality. - Darpan Dhawan; Michael Barlow 001; Erandi Lakshika (SeGAH, 2019)

Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. - Nima Salimi; Michael Barlow 001; Erandi Lakshika (SSCI, 2019)

Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. - Seham Hussein; Michael Barlow 001; Erandi Lakshika (Australasian Conference on Artificial Intelligence, 2020)

Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. - Dulakshi Wannigamage; Michael Barlow 001; Erandi Lakshika; Kathryn E. Kasmarik (Australasian Conference on Artificial Intelligence, 2020)

Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. - Nima Salimi; Michael Barlow 001; Erandi Lakshika (SSCI, 2020)

Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence. - Leigh Gray; Erandi Lakshika; Michael Barlow 001 (IEEE Trans. Games, 2020)

Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (IVA, 2021)

Subject and Activity-wise Performance for Activity Independent Person Recognition. - Seham Abd Elkader; Michael Barlow 001; Erandi Lakshika (SSCI, 2021)

Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. - Shuo Yang; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (SSCI, 2021)

A Data Driven Review of Board Game Design and Interactions of Their Mechanics. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Timothy M. Lynar; Nour Moustafa; Thomas Townsend; Benjamin P. Turnbull (IEEE Access, 2021)

Exploiting abstractions for grammar-based learning of complex multi-agent behaviours. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Int. J. Intell. Syst., 2021)

A novel trust architecture integrating differentiated trust and response strategies for a team of agents. - Shuo Yang; Michael Barlow 001; Kathryn Kasmarik; Erandi Lakshika (Int. J. Intell. Syst., 2021)

Flow-Based Reinforcement Learning. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika (IEEE Access, 2022)

Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Swarm Evol. Comput., 2022)

Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Kathryn Kasmarik (Swarm Evol. Comput., 2022)

Context-aware Agents based on Psychological Archetypes for Teamwork. - Anupama Arukgoda; Erandi Lakshika; Michael Barlow 001; Kasun Gunawardana (AAMAS, 2023)

Competitive Collaboration for Complex Task Learning in Agent Systems. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika (AI (2), 2023)

Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. - Anupama Arukgoda; Erandi Lakshika; Michael Barlow 001; Kasun Gunawardana (IJCAI, 2023)

Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards. - Shuo Yang; Michael Barlow 001; Thomas Townsend; Xuejie Liu; Dilini Samarasinghe; Erandi Lakshika; Glennn Moy; Timothy M. Lynar; Benjamin P. Turnbull (IEEE Access, 2023)

Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics. - Shuo Yang; Dilini Samarasinghe; Anupama Arukgoda; Shadi Abpeikar; Erandi Lakshika; Michael Barlow 001 (IEEE Access, 2023)

Toward Stress Detection During Gameplay: A Survey. - Chamila Wijayarathna; Erandi Lakshika (IEEE Trans. Games, 2023)

Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams. - Anupama Arukgoda; Erandi Lakshika; Michael Barlow 001; Kasun Gunawardana (IEEE Trans. Cogn. Dev. Syst., 2024)

A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols. - Ahmed Reda Aldysty; Nour Moustafa; Erandi Lakshika (IEEE Open J. Commun. Soc., 2025)

A Study on Human-Swarm Interaction: A Framework for Assessing Situation Awareness and Task Performance. - Wasura D. Wattearachchi; Erandi Lakshika; Kathryn Kasmarik; Michael Barlow 001 (CoRR, 2025)

Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance. - Wasura D. Wattearachchi; Erandi Lakshika; Kathryn Kasmarik; Michael Barlow 001 (CoRR, 2025)