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
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
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
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
Khan M; Kasmarik K; Barlow M, 2020, 'Autonomous Detection of Collective Behaviours in Swarms', Swarm and Evolutionary Computation
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
Ali I; Essam D; Kasmarik K, 2019, 'A Novel Design of Differential Evolution for Solving Discrete Traveling Salesman Problems', Swarm and Evolutionary Computation
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
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
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
Abdelfattah S; Kasmarik K; Hu J, 2019, 'A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments', Adaptive Behavior
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
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
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
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
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
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
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
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
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, vol. 24, pp. 219 - 236, http://dx.doi.org/10.1177/1059712316651686
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
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
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
Abbass HA; Petraki E; Merrick K; Harvey J; Barlow M, 2015, 'Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges', Cognitive Computation, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 2, pp. 1009 - 1010
Merrick K; Shafi K, 2011, 'Achievement, affiliation, and power: Motive profiles for artificial agents', Adaptive Behavior, vol. 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, vol. 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, vol. 2, pp. 119 - 131, http://dx.doi.org/10.1109/TAMD.2010.2051435
Merrick K, 2010, 'Modeling Behavior Cycles as a Value System for Developmental Robots', Adaptive Behavior, vol. 18, pp. 237 - 257, http://dx.doi.org/10.1177/1059712309359948
Merrick K, 2010, 'An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science', IEEE Transactions on Education, vol. 53, pp. 677 - 680, http://dx.doi.org/10.1109/TE.2009.2039217
Merrick K; Maher ML, 2009, 'Motivated learning from interesting events: Adaptive, multitask learning agents for complex environments', Adaptive Behavior, vol. 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, vol. 21, pp. 267 - 277, http://dx.doi.org/10.1017/S0890060407000273
Merrick K, 2007, 'Modelling Motivation for Adaptive Non-Player Characters in Dynamic Computer Game Worlds', Computers In Entertainment, vol. 5, http://dx.doi.org/10.1145/1324198.1324203
Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 'Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm
Shepherding', , http://arxiv.org/abs/2004.11543v4
Nguyen TD; Kasmarik KE; Abbass HA, 'Towards Interpretable Deep Neural Networks: An Exact Transformation to
Multi-Class Multivariate Decision Trees', , http://arxiv.org/abs/2003.04675v2
Conference Papers
Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', Canberra, Australia, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020