Select Publications

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

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

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, 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

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, edn. Intelligent Systems Control and Automation Science and Engin, Springer Verlag, pp. 111 - 120, http://dx.doi.org/10.1007/978-94-007-0605-7_10

Journal articles

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

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, vol. 73, pp. 101106 - 101106, 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, vol. 72, 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 P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation

Ali IM; Essam D; Kasmarik K, 2021, 'Novel binary differential evolution algorithm for knapsack problems', Information Sciences, vol. 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

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, 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, vol. 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, http://dx.doi.org/10.1002/int.22550

Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 2021, 'Grammar-Based Cooperative Learning for Evolving Collective Behaviours in Multi-Agent Systems', Swarm and Evolutionary Computation, http://dx.doi.org/10.1016/j.swevo.2021.101017

Wang M; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 2021, 'On the channel density of EEG signals for reliable biometric recognition', Pattern Recognition Letters, vol. 147, http://dx.doi.org/10.1016/j.patrec.2021.04.003

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

Nguyen TD; Kasmarik KE; Abbass HA, 2020, 'Q-Learning with Differential Entropy of Q-Tables', , http://arxiv.org/abs/2006.14795v1

Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 2020, 'Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding', , http://arxiv.org/abs/2004.11543v4

Nguyen DT; Kasmarik KE; Abbass HA, 2020, 'Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees', , http://arxiv.org/abs/2003.04675v4

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, vol. 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, vol. 52

Khan M; Kasmarik K; Barlow M, 2020, 'Autonomous Detection of Collective Behaviours in Swarms', Swarm and Evolutionary Computation, vol. 57

Ali IM; Essam D; Kasmarik K, 2019, 'A novel differential evolution mapping technique for generic combinatorial optimization problems', Applied Soft Computing Journal, vol. 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

Dennis Z; Wilson K; Boyson T; Kasmarik K, 2019, 'Building girls' confidence in themselves as future engineers', Teaching Science, vol. 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, 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

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, vol. 5, http://dx.doi.org/10.3389/frobt.2018.00013

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, vol. 12, pp. 65, http://dx.doi.org/10.3389/fnbot.2018.00065

Yang Z; Merrick K; Abbass H, 2018, 'Hierarchical Deep Reinforcement Learning for Continuous Action Control', IEEE Transactions on Neural Networks and Learning Systems, vol. 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, vol. 12, http://dx.doi.org/10.3389/fnbot.2018.00063

Khan R; Kasmarik K; Barlow M, 2018, 'Towards Computational Motivation for Multi-Agent Systems and Swarms', Frontiers in Robotics and AI-Computational Intelligence, vol. 5, 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, vol. 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, vol. 8, pp. 58 - 69, 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 18 March 2016, pp. 1331 - 1344, 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, vol. 7, pp. 67 - 84, http://dx.doi.org/10.1515/pjbr-2016-0006


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