By Professor Kathryn Elizabeth Kasmarik

Journal articles

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

Islam R; Anavatti S; Kasmarik K; Garratt M, 2024, 'Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation', in 2024 10th International Conference on Mechatronics and Robotics Engineering, ICMRE 2024, pp. 56 - 62, http://dx.doi.org/10.1109/ICMRE60776.2024.10532170

Abpeikar S; Kasmarik K; Garratt M, 2023, 'A Mechanism for Transferring Evolved Collective Motion Behaviour Libraries onto Real Collective Robots', in Australasian Conference on Robotics and Automation, ACRA, Sydney, Australia, presented at Australasian Conference on Robotics and Automation, Sydney, Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/at_a_glance.html

Perera A; Kasmarik K; Anavatti S; Tran P; Garratt M, 2023, 'Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles', in Australasian Conference on Robotics and Automation, ACRA, Sydney Australia, presented at Australasian Conference on Robotics and Automation, Sydney Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/includes/files/pap143s2.pdf

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, Institute of Electrical and Electronics Engineers (IEEE), Canberra, pp. 1 - 6, presented at IEEE TenSymp, Canberra, 05 September 2023 - 08 September 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223653

Khattab N; Kasmarik K; Abpeikar S; Garratt M, 2023, 'Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Brisbane, Australia, presented at International Joint Conference on Neural Networks, Brisbane, Australia, 18 June 2023 - 23 June 2023, http://dx.doi.org/10.1109/IJCNN54540.2023.10191933

Khani MM; Kasmarik K; Abpeikar S; Barlow M, 2023, 'Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation', in International Joint Conference on Computational Intelligence, pp. 505 - 513, http://dx.doi.org/10.5220/0012181400003595

Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Brisbane, pp. 441 - 452, presented at Australasian Joint Conference on Artificial Intelligence, Brisbane, http://dx.doi.org/10.1007/978-981-99-8391-9_35

Jeston-Fenton L; Abpeikar S; Kasmarik K, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', in Proceedings of the International Conference on Information Visualisation, Institute of Electrical and Electronics Engineers (IEEE), Vienna, Austria, pp. 149 - 154, presented at 26th International Conference on Information Visualisation IV2022, Vienna, Austria, - 22 July 2022, http://dx.doi.org/10.1109/IV56949.2022.00032

Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Perth, Australia, pp. 761 - 774, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia, http://dx.doi.org/10.1007/978-3-031-22695-3_53

Khan M; Kasmarik K; Garratt M, 2022, 'Decentralizing Self-organizing Maps', in Long G; Yu X; Wang S (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Sydney, Australia, pp. 480 - 493, presented at AJCAI, Sydney, Australia, - 04 February 2022, http://dx.doi.org/10.1007/978-3-030-97546-3_39

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

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

Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', in Gallagher M; Moustafa N; Lakshika E (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Canberra, Australia, pp. 281 - 293, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020, http://dx.doi.org/10.1007/978-3-030-64984-5_22

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

Pham V; Lokan C; Kasmarik K, 2020, 'A better set of object–oriented design metrics for within-project defect prediction', Online, presented at EASE2020, Online

Ali I; Essam D; Kasmarik K, 2020, 'Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem', Glasgow, presented at IEEE CEC, Glasgow

Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', in Gedeon T; Wong KW; Lee M (eds.), Lecture Notes in Computer Science. Neural Information Processing. Proceedings, Part 1, Springer, Cham, Sydney, pp. 658 - 669, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36708-4_54

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Abbass H; Garratt M, 2019, 'Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming', in Gedeon T; Wong KW; Lee M (eds.), Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Springer Nature, Sydney, pp. 530 - 539, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

Ali IM; Essam D; Kasmarik K, 2019, 'New designs of k-means clustering and crossover operator for solving traveling salesman problems using evolutionary algorithms', in IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, Vienna, Austria, pp. 123 - 130, presented at Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Vienna, Austria, 17 September 2019 - 19 September 2019, http://dx.doi.org/10.5220/0007940001230130

El-Fiqi H; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 2019, 'Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery', in Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., Budapest, Hungary, Hungary, pp. 1 - 8, presented at 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, Hungary, 14 July 2019 - 19 July 2019, http://dx.doi.org/10.1109/IJCNN.2019.8852101

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