By Professor Kathryn Elizabeth Kasmarik

Books

Merrick K, 2016, Computational Models of Motivation for Game-Playing Agents, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-33459-2

Merrick K; Maher ML, 2009, Motivated Reinforcement Learning: Curious Characters for Multiuser Games, Springer Verlag, Berlin, http://dx.doi.org/10.1007/978-3-540-89187-1

Book Chapters

Zhou Y; Plested J; Kasmarik K; Garratt M, 2026, 'Swarming from Vision Data Only: A Comparative Study of Imitation and Reinforcement Learning', in , pp. 447 - 455, http://dx.doi.org/10.1007/978-3-032-26123-6_40

Craufurd-Hill J; Kaehler B; Kasmarik K; Lynar T, 2025, 'Unveiling the Hidden Pandemic of IoT Malware with Biological and Health Approaches', in , pp. 1 - 13, http://dx.doi.org/10.1007/978-981-96-1758-6_1

Kasmarik K; Liu X; Abbass H, 2022, 'Design and Validation of a Mini-Game for Player Motive Profiling', in Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics, Springer, pp. 103 - 129, http://dx.doi.org/10.1007/978-3-030-79092-9_5

Abpeikar S; Kasmarik K; Tran PV; Garratt M; Anavatti S; Khan M, 2022, 'Chapter 8 Tuning swarm behavior for environmental sensing tasks represented as coverage problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

El-Fiqi H; Kasmarik K; Abbass H, 2021, 'Logical Shepherd Assisting Air Traffic Controllers for Swarm UAV Traffic Control Systems', in Abbass H; Robert H (ed.), Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles, Springer International Publishing, pp. 245 - 263, http://dx.doi.org/10.1007/978-3-030-60898-9_11

Abpeikar S; Kasmarik K; Tran P; Garratt M; Anavatti S; Khan M, 2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/B978-0-323-90508-4.00001-0

Merrick K; Klyne A; Hardhienata M, 2017, 'Computational Motivation, Autonomy and Trustworthiness: Can We Have It All?', in Foundations of Trusted Autonomy, Springer, pp. 293 - 316, http://dx.doi.org/10.1007/978-3-319-64816-3_16

Merrick KE, 2013, 'Novelty and beyond: Towards combined motivation models and integrated learning architectures', in Baldassarre G; Mirolli M (ed.), Intrinsically Motivated Learning in Natural and Artificial Systems, Springer Verlag, pp. 209 - 233, http://dx.doi.org/10.1007/978-3-642-32375-1_9

Macindoe O; Maher ML; Merrick K, 2012, 'Agent Based Intrinsically Motivated Intelligent Environments', in Yang L; Syukur E; Loke S (ed.), Handbook on Mobile and Ubiquitous Computing Status and Perspective, CRC Press, https://www.crcpress.com/Handbook-on-Mobile-and-Ubiquitous-Computing-Status-and-Perspective/Yang-Syukur-W-Loke/9781439848111

Macindoe O; Maher M; Merrick K, 2012, 'Agent-Based Intrinsically Motivated Intelligent Environments', in Handbook on Mobile and Ubiquitous Computing, CRC Press, pp. 165 - 201, http://dx.doi.org/10.1201/b13081-10

Gu N; Merrick K, 2011, 'A Pedagogical Approach to Exploring Place and Interaction Design in Collaborative Virtual Environments', in Wang X; Tsai JJH (ed.), Collaborative Design in Virtual Environments, Springer Verlag, pp. 111 - 120, http://dx.doi.org/10.1007/978-94-007-0605-7_10

Merrick KE; Maher ML, 2009, 'Comparing the Behaviour of Learning Agents', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 71 - 88, http://dx.doi.org/10.1007/978-3-540-89187-1_4

Merrick KE; Maher ML, 2009, 'Curiosity, Motivation and Attention Focus', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 91 - 120, http://dx.doi.org/10.1007/978-3-540-89187-1_5

Merrick KE; Maher ML, 2009, 'Curious Characters for Games in Complex, Dynamic Environments', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 151 - 170, http://dx.doi.org/10.1007/978-3-540-89187-1_8

Merrick KE; Maher ML, 2009, 'Curious Characters for Games in Second Life', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 171 - 189, http://dx.doi.org/10.1007/978-3-540-89187-1_9

Merrick KE; Maher ML, 2009, 'Curious Characters for Multiuser Games', in Motivated Reinforcement Learning, Springer Nature, pp. 137 - 149, http://dx.doi.org/10.1007/978-3-540-89187-1_7

Merrick KE; Maher ML, 2009, 'Motivated Reinforcement Learning Agents', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 121 - 134, http://dx.doi.org/10.1007/978-3-540-89187-1_6

Merrick KE; Maher ML, 2009, 'Motivation in Natural and Artificial Agents', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 17 - 43, http://dx.doi.org/10.1007/978-3-540-89187-1_2

Merrick KE; Maher ML, 2009, 'Non-Player Characters in Multiuser Games', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 3 - 16, http://dx.doi.org/10.1007/978-3-540-89187-1_1

Merrick KE; Maher ML, 2009, 'Towards Motivated Reinforcement Learning', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 45 - 70, http://dx.doi.org/10.1007/978-3-540-89187-1_3

Merrick KE; Maher ML, 2009, 'Towards the Future', in Motivated Reinforcement Learning, Springer Berlin Heidelberg, pp. 193 - 199, http://dx.doi.org/10.1007/978-3-540-89187-1_10

Journal articles

Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2026, 'Hybrid swarm intelligence framework for online gas field estimation in cluttered environments using online Newton learning', Engineering Applications of Artificial Intelligence, 181, http://dx.doi.org/10.1016/j.engappai.2026.115583

Ghanem R; Ali IM; Kasmarik K; Garratt M, 2026, 'A decision support framework on simulation fidelity for transferable and autonomously optimised swarm behaviour', International Journal of Production Research, 64, pp. 3066 - 3087, http://dx.doi.org/10.1080/00207543.2025.2587219

Ghanem R; Ali IM; Kasmarik K; Garratt M, 2025, 'Simulation-based multi-objective optimization for mission specific tuning of swarming robots', Swarm and Evolutionary Computation, 99, pp. 102215, http://dx.doi.org/10.1016/j.swevo.2025.102215

Debie E; Kasmarik K; Garrat M, 2025, 'Task-focused robotic swarming: Maximising effectiveness via specialised roles', Robotics and Autonomous Systems, 194, http://dx.doi.org/10.1016/j.robot.2025.105133

Tran VP; Perera AG; Garratt MA; Kasmarik K; Anavatti SG, 2025, 'Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings With Fixed One-Way Switching', Journal of Field Robotics, 42, pp. 1166 - 1190, http://dx.doi.org/10.1002/rob.22441

Abpeikar S; Garratt M; Anavatti S; Ghanem R; Kasmarik K, 2025, 'A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills', IEEE Systems Journal, 19, pp. 327 - 338, http://dx.doi.org/10.1109/JSYST.2025.3536783

Ghanem R; Ali IM; Abpeikar S; Kasmarik K; Garratt M, 2025, 'Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach', Engineering Applications of Artificial Intelligence, 139, pp. 109522, http://dx.doi.org/10.1016/j.engappai.2024.109522

Kasmarik K; Khani M; Abpeikar S; Barlow M; Carter O; Irish M, 2024, 'Competence Awareness for Humans and Machines: A Survey and Future Research Directions from Psychology', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3689626

Debie E; Kasmarik K; Garratt M, 2024, 'Swarm Robotics: A Survey from a Multi-Tasking Perspective', ACM Computing Surveys, 56, pp. 1 - 38, http://dx.doi.org/10.1145/3611652

Ibrahim YM; Kermanshahi SK; Kasmarik K; Hu J, 2024, 'A Taxonomy-Based Survey of EM-SCA and Implications for Multi-Robot Systems', IEEE Open Journal of the Computer Society, 5, pp. 511 - 529, http://dx.doi.org/10.1109/OJCS.2024.3461808

Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 12506 - 12522, http://dx.doi.org/10.1109/TITS.2023.3285624

Kasmarik K; Baldassarre G; Santucci VG; Triesch J, 2023, 'Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL)', IEEE Transactions on Cognitive and Developmental Systems, 15, pp. 321 - 324, http://dx.doi.org/10.1109/TCDS.2023.3276597

Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', IEEE Caa Journal of Automatica Sinica, 10, pp. 646 - 661, http://dx.doi.org/10.1109/JAS.2023.123087

Tran VP; Garratt MA; Kasmarik K; Anavatti SG; Leong AS; Zamani M, 2023, 'Multi-gas source localization and mapping by flocking robots', Information Fusion, 91, pp. 665 - 680, http://dx.doi.org/10.1016/j.inffus.2022.11.001

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Iterative transfer learning for automatic collective motion tuning on multiple robot platforms', Frontiers in Neurorobotics, 17, pp. 1113991, http://dx.doi.org/10.3389/fnbot.2023.1113991

Abpeikar S; Kasmarik K, 2023, 'Motion Behaviour Recognition Dataset Collected from Human Perception of Collective Motion', Data in Brief, 47, pp. 108976, http://dx.doi.org/10.1016/j.dib.2023.108976

Samarasinghe D; Barlow M; Lakshika E; Kasmarik K, 2022, 'Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours', Swarm and Evolutionary Computation, 73, http://dx.doi.org/10.1016/j.swevo.2022.101106

Abpeikar S; Kasmarik K; Garratt M; Hunjet R; Khan M; Qiu H, 2022, 'Automatic Collective Motion Tuning using Actor-Critic Deep Reinforcement Learning', Swarm and Evolutionary Computation, 72, pp. 101085, http://dx.doi.org/10.1016/j.swevo.2022.101085

Dhakan P; Kasmarik K; Vance P; Rano I; Siddique N, 2022, 'Concurrent Skill Composition using Ensemble of Primitive Skills', IEEE Transactions on Cognitive and Developmental Systems

Tran VP; Garratt MA; Kasmarik K; Anavatti SG; Abpeikar S, 2022, 'Frontier-led swarming: Robust multi-robot coverage of unknown environments', Swarm and Evolutionary Computation, 75, pp. 101171 - 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171

Ali IM; Essam D; Kasmarik K, 2021, 'Novel binary differential evolution algorithm for knapsack problems', Information Sciences, 542, pp. 177 - 194, http://dx.doi.org/10.1016/j.ins.2020.07.013

Yang S; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'A Novel Trust Architecture Integrating Differentiated Trust and Response Strategies for a Team of Agents', International Journal of Intelligent Systems, 36, pp. 7017 - 7052, http://dx.doi.org/10.1002/int.22578

Liu X; Kasmarik K; Abbass H, 2021, 'Assessing Player Profiles of Achievement, Affiliation and Power Motivation using Electroencephalography', IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 52, pp. 3648 - 3658, http://dx.doi.org/10.1109/TSMC.2021.3073216

Debie E; El-Fiqi H; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding', Human-Intelligent Systems Integration, 3, pp. 175 - 186, http://dx.doi.org/10.1007/s42454-020-00024-w

Samarasinghe Widana Arachchige D; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'Exploiting Abstractions for Grammar-Based Learning of Complex Multi-Agent Behaviours', International Journal of Intelligent Systems, 36, pp. 6273 - 6311, http://dx.doi.org/10.1002/int.22550

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