By Professor Kathryn Elizabeth Kasmarik

Journal articles

El-Fiqi H; Wang M; Kasmarik K; Bezerianos A; TAN KC; Abbass H, 2021, 'Weighted Gate Layer Autoencoders', IEEE Transactions on Cybernetics, 52, pp. 7242 - 7253, http://dx.doi.org/10.1109/TCYB.2021.3049583

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, 14, http://dx.doi.org/10.3389/fnins.2020.00040

Ali I; Essam D; Kasmarik K, 2020, 'A Novel Design of Differential Evolution for Solving Discrete Traveling Salesman Problems', Swarm and Evolutionary Computation, 52

Khan M; Kasmarik K; Barlow M, 2020, 'Autonomous Detection of Collective Behaviours in Swarms', Swarm and Evolutionary Computation, 57, pp. 100715, http://dx.doi.org/10.1016/j.swevo.2020.100715

Ali IM; Essam D; Kasmarik K, 2019, 'A novel differential evolution mapping technique for generic combinatorial optimization problems', Applied Soft Computing Journal, 80, pp. 297 - 309, http://dx.doi.org/10.1016/j.asoc.2019.04.017

Abdelfattah S; Kasmarik K; Hu J, 2019, 'A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments', Adaptive Behavior, 28, pp. 273 - 292, http://dx.doi.org/10.1177/1059712319869313

Dennis Z; Wilson K; Boyson T; Kasmarik K, 2019, 'Building girls' confidence in themselves as future engineers', Teaching Science, 65, pp. 10 - 18

Abdelfattah S; Kasmarik K; Hu J, 2019, 'Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes', IEEE Transactions on Cognitive and Developmental Systems, Special Issue on Continual Unsupervised Sensorimotor Learning, 13, pp. 262 - 273, http://dx.doi.org/10.1109/TCDS.2019.2948025

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics, 51, pp. 1542 - 1555, http://dx.doi.org/10.1109/TCYB.2019.2939399

Dhakan P; Merrick K; Siddique N; Rano I, 2019, 'Open-Ended Continuous Learning of Compound Goals', IEEE Transactions on Cognitive and Developmental Systems, Special Issue on Continual Unsupervised Sensorimotor Learning, http://dx.doi.org/10.1109/TCDS.2019.2947896

Harvey J; Merrick K; Abbass H, 2018, 'Assessing Human Judgement of Computationally Generated Swarming', Frontiers Robotics and AI

Abdelfattah S; Kasmarik K; Hu J, 2018, 'Evolving Robust Policy Coverage Sets in Multi-objective Markov Decision Processes Through Intrinsically Motivated Self-play', Frontiers in Neurorobotics

Yang Z; Merrick K; Abbass H, 2018, 'Hierarchical Deep Reinforcement Learning for Continuous Action Control', IEEE Transactions on Neural Networks and Learning Systems, 29, pp. 5174 - 5184, http://dx.doi.org/10.1109/TNNLS.2018.2805379

Dhakan P; Kasmarik K; Rano I; Siddique N, 2018, 'Intrinsic Rewards for Maintenance, Approach, Avoidance and Achievement Goal Types', Frontiers in Neurorobotics

Khan R; Kasmarik K; Barlow M, 2018, 'Towards Computational Motivation for Multi-Agent Systems and Swarms', Frontiers in Robotics and AI-Computational Intelligence, 5, pp. 134, http://dx.doi.org/10.3389/frobt.2018.00134

Debie E; Shafi K; Merrick K; Lokan C, 2017, 'On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems', Computational Intelligence, 33, pp. 554 - 578, http://dx.doi.org/10.1111/coin.12099

Siddique N; Dhakan P; Rano I; Merrick K, 2017, 'A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning', Paladyn Journal of Behavioral Robotics, 8, http://dx.doi.org/10.1515/pjbr-2017-0004

Liu X; Merrick K; Abbass H, 2017, 'Towards Electroencephalographic Profiling of Player Motivation: A Survey', IEEE Transactions on Cognitive and Developmental Systems, 10, pp. 499 - 513, http://dx.doi.org/10.1109/TCDS.2017.2726083

Merrick K, 2017, 'Value Systems for Developmental Cognitive Robotics: A Survey', Cognitive Systems Research, 41, pp. 38 - 55, http://dx.doi.org/10.1016/j.cogsys.2016.08.001

Abbass H; Leu G; Merrick K, 2016, 'A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data', IEEE Access, 4, pp. 2808 - 2830, http://dx.doi.org/10.1109/ACCESS.2016.2571058

Merrick K; Hardhienata M; Shafi K; Hu J, 2016, 'A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios', Future Internet, 8, http://dx.doi.org/10.3390/fi8030034

Wang B; Merrick K; Abbass H, 2016, 'Cooperative co-evolutionary neural networks for mining functional association rules', IEEE Transactions on Neural Networks and Learning Systems, 18 March 2016, http://dx.doi.org/10.1109/TNNLS.2016.2536104

Merrick K; Siddique N; Rano I, 2016, 'Experience-Based Generation of Maintenance and Achievement Goals on a Mobile Robot', Paladyn Journal of Behavioral Robotics, 7, pp. 67 - 84

Klyne A; Merrick K, 2016, 'Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection', Adaptive Behavior: animals, animats, software agents, robots, adaptive systems, 24, pp. 219 - 236, http://dx.doi.org/10.1177/1059712316651686

Abbass HA; Petraki E; Merrick K; Harvey J; Barlow M, 2015, 'Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges', Cognitive Computation, 8, pp. 385 - 408, http://dx.doi.org/10.1007/s12559-015-9365-5

Harvey J; Merrick K; Abbass HA, 2015, 'Application of chaos measures to a simplified boids flocking model', Swarm Intelligence, 9, pp. 23 - 41, http://dx.doi.org/10.1007/s11721-015-0103-0

Schiechowski M; Merrick K; Mandziuk J; Abbass H, 2015, 'Human Machine Cooperation Loop in Game Playing', International Journal on Advances in Intelligent Systems, 8, pp. 310 - 323, https://www.thinkmind.org/index.php?view=article&articleid=intsys_v8_n34_2015_8

Merrick K, 2015, 'The Role of Implicit Motives in Strategic Decision-Making: Computational Models of Motivated Learning and the Evolution of Motivated Agents', Games, 6, pp. 604 - 636, http://dx.doi.org/10.3390/g6040604

Merrick K; Shafi K, 2013, 'A Game Theoretic Framework for Incentive-Based Models of Intrinsic Motivation in Artificial Systems', Frontiers in Psychology, Cognitive Science, Special Issue on Intrinsic Motivations and Open-Ended Development in Animals, Humans and Robots, 4, http://dx.doi.org/10.3389/fpsyg.2013.00791

Merrick K; Debie E; Shafi K; Lokan C, 2013, 'Performance Analysis of Rough Set Ensemble of Learning Classifier Systems with Differential Evolution based Rule Discovery', Evolutionary Intelligence, 6, pp. 109 - 126, http://dx.doi.org/10.1007/s12065-013-0093-z

Merrick K; Isaacs A; Barlow M; Gu N, 2013, 'A Shape Grammar Approach to Computational Creativity and Procedural Content Generation in Massively Multiplayer Online Role-Playing Games', Entertainment Computing, 4, pp. 115 - 130, http://dx.doi.org/10.1016/j.entcom.2012.09.006

Merrick K, 2012, 'Intrinsic Motivation and Introspection in Reinforcement Learning', IEEE Transactions on Autonomous Mental Development, 4, pp. 315 - 329, http://dx.doi.org/10.1109/TAMD.2012.2208457

Shafi K; Merrick K, 2011, 'A curious agent for network anomaly detection', 10th International Conference on Autonomous Agents and Multiagent Systems 2011 Aamas 2011, 2, pp. 1009 - 1010

Merrick K; Shafi K, 2011, 'Achievement, affiliation, and power: Motive profiles for artificial agents', Adaptive Behavior, 19, pp. 40 - 62, http://dx.doi.org/10.1177/1059712310395953

Merrick K; Gu N; Wang X, 2011, 'Case Studies Using Multiuser Virtual Worlds as an Innovative Platform for Collaborative Design', Journal of Information Technology in Construction, Special Issue on the Use of Virtual World Technology in Architecture, Engineering and Construction, 16, pp. 165 - 188, http://www.itcon.org/cgi-bin/works/Show?2011_12

Merrick K, 2010, 'A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots', IEEE Transactions on Autonomous Mental Development, 2, pp. 119 - 131, http://dx.doi.org/10.1109/TAMD.2010.2051435

Merrick K, 2010, 'An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science', IEEE Transactions on Education, 53, pp. 677 - 680, http://dx.doi.org/10.1109/TE.2009.2039217

Merrick K, 2010, 'Modeling Behavior Cycles as a Value System for Developmental Robots', Adaptive Behavior, 18, pp. 237 - 257, http://dx.doi.org/10.1177/1059712309359948

Merrick K; Maher ML, 2009, 'Motivated learning from interesting events: Adaptive, multitask learning agents for complex environments', Adaptive Behavior, 17, pp. 7 - 27, http://dx.doi.org/10.1177/1059712308100236

Maher ML; Rosenman M; Merrick K, 2007, 'Agents For Multi-Disciplinary Design in Virtual Worlds', AI Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing, 21, pp. 267 - 277, http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=1233004&fileId=S0890060407000273

Merrick K, 2007, 'Modelling Motivation for Adaptive Non-Player Characters in Dynamic Computer Game Worlds', Computers In Entertainment, 5, http://dl.acm.org/citation.cfm?id=1324203

Conference Papers

Wattearachchi W; Lakshika Hene Kankanamge E; Kasmarik K; Barlow M, 2025, 'Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance', Vienna, Austria, presented at IEEE Conference on Systems, Man and Cybernetics, Vienna, Austria, 05 October 2025 - 08 October 2025

Ghanem R; Ali I; Kasmarik K; Garratt M, 2025, 'Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-objective Coverage Tasks', in Singh H; Ray T; Knowles J; Li X; Branke J; Wang B; Oyama A (eds.), Lecture Notes in Computer Science, Springer Nature Singapore, Canberra, Australia, pp. 303 - 318, presented at The International Conference on Evolutionary Multi-Criterion Optimization, Canberra, Australia, 04 March 2025 - 07 March 2025, http://dx.doi.org/10.1007/978-981-96-3506-1_21

Islam R; Garratt M; Kasmarik K; Anavatti S; Abpeikar S; Meselhi M, 2025, 'Goal-Oriented Quadruped Navigation in Dynamic Environments Using Reinforcement Learning', in Proceedings of the Annual International Conference on Control Automation and Robotics Iccar, pp. 458 - 464, http://dx.doi.org/10.1109/ICCAR64901.2025.11073006

Mohamed SMS; Kasmarik K; Debie E; Garratt M, 2025, 'From Single-tasking Swarming to Multi-tasking Heterogeneous Swarming for Solving Non-uniform Area Coverage Problems', Yokohama Japan, presented at Sixteenth International Conference on Swarm Intelligence, Yokohama Japan

Wattearachchi W; Lakshika Hene Kankanamge E; Kasmarik K; Barlow M, 2025, 'Understanding Human Situation Awareness in One-to-Many Human-Robot Interaction Scenarios', Canberra, presented at Australasian Joint Conference on Artificial Intelligence, Canberra, http://dx.doi.org/10.1007/978-981-95-4972-6_37

Ghanem R; Ali IM; Kasmarik K; Garratt M, 2024, 'Comparative Analysis of Simulation Models for Evolving Robot Collective Motion in Industrial Coverage and Inspection Tasks', in Proceedings of International Conference on Computers and Industrial Engineering CIE, Computers and Industrial Engineering, Sydney, Australia, pp. 2190 - 2199, presented at The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 09 December 2024 - 11 December 2024, http://dx.doi.org/10.26190/unsworks/31391

Craufurd-Hill J; Kasmarik K; Kaehler B; Lynar T, 2024, 'Unveiling the Hidden Pandemic of IoT Malware with Biological and Health Approaches', in Proceedings of International Conference on Information Technology and Applications, Sydney, Australia, presented at International Conference on Information Technology and Applications, Sydney, Australia, 17 October 2024 - 19 October 2024, http://dx.doi.org/10.1007/978-981-96-1758-6_1

Meselhi M; Garratt M; Anavatti S; Kasmarik K; Tran P; Islam R, 2024, 'A Swarm Optimization Method for Gas Plume Boundary Detection and Monitoring', in 2024 4th International Conference on Robotics Automation and Artificial Intelligence Raai 2024, pp. 85 - 90, http://dx.doi.org/10.1109/RAAI64504.2024.10949544

Abpeikar S; Garratt M; Kasmarik K; Anavatti S; Islam R, 2024, 'Integrating Large Language Models for Task Planning in Robots-A case Study with NAO', in 2024 6th International Conference on Control and Robotics Iccr 2024, pp. 217 - 225, http://dx.doi.org/10.1109/ICCR64365.2024.10927585

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