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ORCIDKathryn Kasmarik
Kathryn E. Kasmarik – Kathryn E. Merrick – Kathryn Elizabeth Merrick
Person information
- affiliation: University of New South Wales, School of Engineering and Information Technology, Canberra, NSW, Australia
- affiliation (PhD 2007): University of Sydney, NSW, Australia
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2020 – today
- 2024
[j52]Essam Soliman Debie, Kathryn Kasmarik
, Matt Garratt:
Swarm Robotics: A Survey from a Multi-Tasking Perspective. ACM Comput. Surv. 56(2): 49:1-49:38 (2024)- 2023
- [j51]Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt:
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms. Frontiers Neurorobotics 17 (2023) - [j50]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. IEEE CAA J. Autom. Sinica 10(3): 646-661 (2023) - [j49]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Alex S. Leong, Mohammad Zamani:
Multi-gas source localization and mapping by flocking robots. Inf. Fusion 91: 665-680 (2023) - [j48]Kathryn Kasmarik, Gianluca Baldassarre, Vieri Giuliano Santucci, Jochen Triesch:
Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). IEEE Trans. Cogn. Dev. Syst. 15(2): 321-324 (2023) - [j47]Paresh Dhakan, Kathryn Kasmarik, Philip J. Vance, Iñaki Rañó, Nazmul H. Siddique:
Concurrent Skill Composition Using Ensemble of Primitive Skills. IEEE Trans. Cogn. Dev. Syst. 15(4): 1879-1890 (2023) - [j46]Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. IEEE Trans. Intell. Transp. Syst. 24(11): 12506-12522 (2023) - [c58]Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow, Shadi Abpeikar, Huanneng Qiu, Essam Soliman Debie, Matt Garratt:
Generating Collective Motion Behaviour Libraries Using Developmental Evolution. AI (2) 2023: 441-452 - [c57]Mahtab Mohtasham Khani, Kathryn Kasmarik, Shadi Abpeikar, Michael Barlow:
Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation. IJCCI 2023: 505-513 - [c56]Noha Khattab, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt:
Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. IJCNN 2023: 1-8 - [i11]Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles. CoRR abs/2306.04083 (2023) - [i10]Sherif M. Abdelfattah, Kathryn E. Merrick, Jiankun Hu:
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes. CoRR abs/2308.09733 (2023) - [i9]Sherif M. Abdelfattah, Kathryn E. Kasmarik, Jiankun Hu:
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments. CoRR abs/2308.09734 (2023) - [i8]Asanka G. Perera, Vu Phi Tran, Sreenatha G. Anavatti, Kathryn Kasmarik, Matthew Garratt:
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. CoRR abs/2312.03493 (2023) - 2022
- [j45]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. Swarm Evol. Comput. 69: 101017 (2022) - [j44]Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt, Robert A. Hunjet, Md Mohiuddin Khan, Huanneng Qiu:
Automatic collective motion tuning using actor-critic deep reinforcement learning. Swarm Evol. Comput. 72: 101085 (2022) - [j43]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours. Swarm Evol. Comput. 73: 101106 (2022) - [j42]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Shadi Abpeikar:
Frontier-led swarming: Robust multi-robot coverage of unknown environments. Swarm Evol. Comput. 75: 101171 (2022) - [j41]Heba El-Fiqi, Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
Weighted Gate Layer Autoencoders. IEEE Trans. Cybern. 52(8): 7242-7253 (2022) - [j40]Xuejie Liu, Kathryn Kasmarik, Hussein A. Abbass:
Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3648-3658 (2022) - [c55]Md Mohiuddin Khan, Kathryn Kasmarik, Matt Garratt:
Decentralizing Self-organizing Maps. AI 2022: 480-493 - [c54]Shadi Abpeikar, Kathryn Kasmarik, Phi Vu Tran, Matt Garratt:
Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs. AI 2022: 531-542 - [c53]Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt:
Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals. AI 2022: 761-774 - [c52]Laine G. Jeston-Fenton, Shadi Abpeikar, Kathryn Kasmarik:
Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction. IV 2022: 149-154 - [i7]Duy Tung Nguyen, Kathryn Kasmarik, Hussein A. Abbass:
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance. CoRR abs/2204.00272 (2022) - 2021
- [j39]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Exploiting abstractions for grammar-based learning of complex multi-agent behaviours. Int. J. Intell. Syst. 36(11): 6273-6311 (2021) - [j38]Shuo Yang, Michael Barlow, Kathryn Kasmarik, Erandi Lakshika:
A novel trust architecture integrating differentiated trust and response strategies for a team of agents. Int. J. Intell. Syst. 36(12): 7017-7052 (2021) - [j37]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
Novel binary differential evolution algorithm for knapsack problems. Inf. Sci. 542: 177-194 (2021) - [j36]Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
On the channel density of EEG signals for reliable biometric recognition. Pattern Recognit. Lett. 147: 134-141 (2021) - [j35]Sherif M. Abdelfattah, Kathryn E. Merrick, Jiankun Hu:
Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes. IEEE Trans. Cogn. Dev. Syst. 13(2): 262-273 (2021) - [j34]Paresh Dhakan, Kathryn Kasmarik, Iñaki Rañó, Nazmul H. Siddique:
Open-Ended Continuous Learning of Compound Goals. IEEE Trans. Cogn. Dev. Syst. 13(2): 274-285 (2021) - [j33]Essam Soliman Debie, Raul Fernandez Rojas, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matt Garratt, Hussein A. Abbass:
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. IEEE Trans. Cybern. 51(3): 1542-1555 (2021) - [c51]Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. IVA 2021: 175-182 - [c50]Shuo Yang, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. SSCI 2021: 1-9 - [i6]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. CoRR abs/2111.14295 (2021) - 2020
- [j32]Sherif M. Abdelfattah, Kathryn Kasmarik, Jiankun Hu:
A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments. Adapt. Behav. 28(4) (2020) - [j31]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
A novel design of differential evolution for solving discrete traveling salesman problems. Swarm Evol. Comput. 52 (2020) - [j30]Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow:
Autonomous detection of collective behaviours in swarms. Swarm Evol. Comput. 57: 100715 (2020) - [c49]Kathryn Kasmarik, Shadi Abpeikar, Md Mohiuddin Khan, Noha Khattab, Michael Barlow, Matt Garratt:
Autonomous Recognition of Collective Behaviour in Robot Swarms. Australasian Conference on Artificial Intelligence 2020: 281-293 - [c48]Dulakshi Wannigamage, Michael Barlow, Erandi Lakshika, Kathryn E. Kasmarik:
Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. Australasian Conference on Artificial Intelligence 2020: 458-469 - [c47]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem. CEC 2020: 1-8 - [c46]Viet Van Pham, Chris Lokan, Kathryn Kasmarik:
A Better Set of Object-Oriented Design Metrics for Within-Project Defect Prediction. EASE 2020: 230-239 - [c45]Tung Nguyen, Jing Liu, Hung The Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. IJCNN 2020: 1-8 - [i5]Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. CoRR abs/2003.04675 (2020) - [i4]Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. CoRR abs/2004.11543 (2020) - [i3]Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Q-Learning with Differential Entropy of Q-Tables. CoRR abs/2006.14795 (2020)
2010 – 2019
- 2019
- [j29]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
A novel differential evolution mapping technique for generic combinatorial optimization problems. Appl. Soft Comput. 80: 297-309 (2019) - [c44]Dulakshi Vihanga, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. CoG 2019: 1-8 - [c43]Raul Fernandez Rojas, Essam Soliman Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. ICONIP (4) 2019: 530-539 - [c42]Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) 2019: 658-669 - [c41]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms. IJCCI 2019: 123-130 - [c40]Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. IJCNN 2019: 1-8 - 2018
- [j28]Paresh Dhakan, Kathryn E. Merrick, Iñaki Rañó, Nazmul H. Siddique:
Intrinsic Rewards for Maintenance, Approach, Avoidance, and Achievement Goal Types. Frontiers Neurorobotics 12: 63 (2018) - [j27]Sherif M. Abdelfattah, Kathryn Kasmarik, Jiankun Hu:
Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play. Frontiers Neurorobotics 12: 65 (2018) - [j26]John Harvey, Kathryn Elizabeth Merrick, Hussein A. Abbass:
Assessing Human Judgment of Computationally Generated Swarming Behavior. Frontiers Robotics AI 5: 13 (2018) - [j25]Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow:
Toward Computational Motivation for Multi-Agent Systems and Swarms. Frontiers Robotics AI 5: 134 (2018) - [j24]Xuejie Liu, Kathryn E. Merrick, Hussein A. Abbass:
Toward Electroencephalographic Profiling of Player Motivation: A Survey. IEEE Trans. Cogn. Dev. Syst. 10(3): 499-513 (2018) - [j23]Zhaoyang Yang, Kathryn E. Merrick, Lianwen Jin, Hussein A. Abbass:
Hierarchical Deep Reinforcement Learning for Continuous Action Control. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5174-5184 (2018) - [c39]Ismail M. Ali, Daryl Essam, Kathryn Kasmarik:
An Efficient Differential Evolution Algorithm for Solving 0-1 Knapsack Problems. CEC 2018: 1-8 - [c38]Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik:
Automatic synthesis of swarm behavioural rules from their atomic components. GECCO 2018: 133-140 - [c37]Paresh Dhakan, Kathryn Elizabeth Merrick, Iñaki Rañó, Mia Nazmul Haque Siddique:
Modular Continuous Learning Framework. ICDL-EPIROB 2018: 107-112 - [c36]Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow:
Intrinsically Motivated Agent Behavior in a Swarm. ICDL-EPIROB 2018: 113-118 - [c35]Tung Nguyen, Hung The Nguyen, Essam Soliman Debie, Kathryn Kasmarik, Matthew Garratt, Hussein A. Abbass:
Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. IJCNN 2018: 1-8 - [c34]Heba El-Fiqi, Min Wang, Nima Salimi, Kathryn Kasmarik, Michael Barlow, Hussein A. Abbass:
Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential. SMC 2018: 1062-1069 - [i2]Hung The Nguyen, Vu Phi Tran, Tung Nguyen, Matthew Garratt, Kathryn Kasmarik, Michael Barlow, Sreenatha G. Anavatti, Hussein A. Abbass:
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. CoRR abs/1810.04344 (2018) - 2017
- [j22]Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan:
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems. Comput. Intell. 33(3): 554-578 (2017) - [j21]Kathryn E. Merrick:
Value systems for developmental cognitive robotics: A survey. Cogn. Syst. Res. 41: 38-55 (2017) - [j20]Nazmul H. Siddique, Paresh Dhakan, Iñaki Rañó, Kathryn E. Merrick:
A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning. Paladyn J. Behav. Robotics 8(1): 58-69 (2017) - [j19]Bing Wang, Kathryn E. Merrick, Hussein A. Abbass:
Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1331-1344 (2017) - [c33]Sarah Jean Bowley, Kathryn E. Merrick:
A 'Breadcrumbs' Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device. Australasian Conference on Artificial Intelligence 2017: 157-168 - [c32]Zhaoyang Yang, Kathryn E. Merrick, Hussein A. Abbass, Lianwen Jin:
Multi-Task Deep Reinforcement Learning for Continuous Action Control. IJCAI 2017: 3301-3307 - 2016
- [b3]Kathryn E. Merrick:
Computational Models of Motivation for Game-Playing Agents. Springer 2016, ISBN 978-3-319-33457-8, pp. 3-196 - [j18]Hussein A. Abbass, George Leu, Kathryn E. Merrick:
A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. IEEE Access 4: 2808-2830 (2016) - [j17]Adam Klyne, Kathryn E. Merrick:
Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection. Adapt. Behav. 24(4): 219-236 (2016) - [j16]Hussein A. Abbass, Eleni Petraki, Kathryn E. Merrick, John Harvey, Michael Barlow:
Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges. Cogn. Comput. 8(3): 385-408 (2016) - [j15]Kathryn E. Merrick, Medria K. D. Hardhienata, Kamran Shafi, Jiankun Hu:
A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios. Future Internet 8(3): 34 (2016) - [j14]Kathryn E. Merrick, Nazmul H. Siddique, Iñaki Rañó:
Experience-Based Generation of Maintenance andAchievement Goals on a Mobile Robot. Paladyn J. Behav. Robotics 7(1) (2016) - [c31]Min Wang, Hussein A. Abbass, Jiankun Hu, Kathryn E. Merrick:
Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks. BICS 2016: 90-101 - [c30]Sherif M. Abdelfattah, Kathryn E. Merrick, Hussein A. Abbass:
Eye movements as information markers in EEG data. SSCI 2016: 1-7 - [c29]Xuejie Liu, Kathryn E. Merrick, Hussein A. Abbass:
Designing artificial agents to detect the motive profile of users in virtual worlds and games. SSCI 2016: 1-8 - [c28]Kathryn E. Merrick, Medria K. D. Hardhienata, Kamran Shafi, Jiankun Hu:
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems. SSCI 2016: 1-8 - [c27]John Harvey, Kathryn E. Merrick, Hussein A. Abbass:
Quantifying Swarming Behaviour. ICSI (1) 2016: 119-130 - [i1]Hussein A. Abbass, George Leu, Kathryn E. Merrick:
A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. CoRR abs/1604.00921 (2016) - 2015
- [j13]Kathryn E. Merrick:
The Role of Implicit Motives in Strategic Decision-Making: Computational Models of Motivated Learning and the Evolution of Motivated Agents. Games 6(4): 604-636 (2015) - [j12]John Harvey, Kathryn E. Merrick, Hussein A. Abbass:
Application of chaos measures to a simplified boids flocking model. Swarm Intell. 9(1): 23-41 (2015) - [c26]Bing Wang, Kathryn E. Merrick, Hussein A. Abbass:
Autonomous Hypothesis Generation as an Environment Learning Mechanism for Agent Design. ACALCI 2015: 210-225 - [c25]Adam Klyne, Kathryn E. Merrick:
Task Allocation Using Particle Swarm Optimisation and Anomaly Detection to Generate a Dynamic Fitness Function. Australasian Conference on Artificial Intelligence 2015: 317-329 - 2014
- [c24]Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan:
An online evolutionary rule learning algorithm with incremental attribute discretization. IEEE Congress on Evolutionary Computation 2014: 1116-1123 - [c23]Medria K. D. Hardhienata, Valery A. Ugrinovskii, Kathryn E. Merrick:
Task allocation under communication constraints using motivated particle swarm optimization. IEEE Congress on Evolutionary Computation 2014: 3135-3142 - [c22]Kathryn E. Merrick:
Evolution of intrinsic motives in a multi-player common pool resource game. CIHLI 2014: 36-43 - [c21]Hafsa Ismail, Kathryn E. Merrick, Michael Barlow:
Self-motivated learning of achievement and maintenance tasks for non-player characters in computer games. CIHLI 2014: 44-51 - [c20]Medria K. D. Hardhienata, Kathryn E. Merrick, Valery A. Ugrinovskii:
Effective motive profiles and swarm compositions for motivated particle swarm optimisation applied to task allocation. CIHLI 2014: 52-59 - 2013
- [j11]Kathryn E. Merrick, Amitay Isaacs, Michael Barlow, Ning Gu:
A shape grammar approach to computational creativity and procedural content generation in massively multiplayer online role playing games. Entertain. Comput. 4(2): 115-130 (2013) - [j10]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery. Evol. Intell. 6(2): 109-126 (2013) - [c19]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Reduct based ensemble of learning classifier system for real-valued classification problems. CIEL 2013: 66-73 - [c18]Biming Tian, Kathryn E. Merrick, Shui Yu, Jiankun Hu:
A hierarchical pea-based anomaly detection model. ICNC 2013: 621-625 - [c17]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Investigating Differential Evolution based rule discovery in learning classifier systems. SDE 2013: 77-84 - [p2]Kathryn E. Merrick:
Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures. Intrinsically Motivated Learning in Natural and Artificial Systems 2013: 209-233 - 2012
- [j9]Kathryn E. Merrick:
Intrinsic Motivation and Introspection in Reinforcement Learning. IEEE Trans. Auton. Ment. Dev. 4(4): 315-329 (2012) - [c16]Medria K. D. Hardhienata, Kathryn E. Merrick, Valery A. Ugrinovskii:
Task allocation in multi-agent systems using models of motivation and leadership. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c15]Kamran Shafi, Kathryn E. Merrick, Essam Soliman Debie:
Evolution of Intrinsic Motives in Multi-agent Simulations. SEAL 2012: 198-207 - [c14]Bing Wang, Kathryn E. Merrick, Hussein A. Abbass:
Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining. SEAL 2012: 290-299 - 2011
- [j8]Kathryn E. Merrick, Kamran Shafi:
Achievement, affiliation, and power: Motive profiles for artificial agents. Adapt. Behav. 19(1): 40-62 (2011) - [j7]Kathryn E. Merrick, Ning Gu, Xiangyu Wang:
Case studies using multiuser virtual worlds as an innovative platform for collaborative design. J. Inf. Technol. Constr. 16: 165-188 (2011) - [c13]Mary Lou Maher, Kathryn E. Merrick, Benjamin Graham:
Reasoning in the Absence of Goals. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c12]Kathryn E. Merrick:
A computational model of achievement motivation for artificial agents. AAMAS 2011: 1067-1068 - [c11]Kamran Shafi, Kathryn E. Merrick:
A curious agent for network anomaly detection. AAMAS 2011: 1075-1076 - [p1]Ning Gu, Kathryn E. Merrick:
A Pedagogical Approach to Exploring Place and Interaction Design in Collaborative Virtual Environments. Collaborative Design in Virtual Environments 2011: 111-120 - 2010
- [j6]Kathryn E. Merrick:
Modeling Behavior Cycles as a Value System for Developmental Robots. Adapt. Behav. 18(3-4): 237-257 (2010) - [j5]Kathryn E. Merrick:
A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots. IEEE Trans. Auton. Ment. Dev. 2(2): 119-131 (2010) - [j4]Kathryn E. Merrick:
An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science. IEEE Trans. Educ. 53(4): 677-680 (2010)
2000 – 2009
- 2009
- [b2]Kathryn Elizabeth Merrick, Mary Lou Maher:
Motivated Reinforcement Learning - Curious Characters for Multiuser Games. Springer 2009, ISBN 978-3-540-89186-4, pp. I-XIV, 1-206 - [j3]Kathryn E. Merrick, Mary Lou Maher:
Motivated Learning from Interesting Events: Adaptive, Multitask Learning Agents for Complex Environments. Adapt. Behav. 17(1): 7-27 (2009) - [c10]Kathryn E. Merrick:
Evaluating intrinsically motivated robots using affordances and point-cloud matrices. EpiRob 2009 - 2008
- [c9]Mary Lou Maher, Kathryn E. Merrick, Rob Saunders:
Achieving Creative Behavior Using Curious Learning Agents. AAAI Spring Symposium: Creative Intelligent Systems 2008: 40-46 - [c8]Kathryn E. Merrick:
Designing Toys That Come Alive: Curious Robots for Creative Play. ICEC 2008: 149-154 - [c7]Kathryn E. Merrick:
Modelling Behaviour Cycles for Life-Long Learning in Motivated Agents. SEAL 2008: 1-10 - 2007
- [b1]Kathryn E. Merrick:
Modelling motivation for experience-based attention focus in reinforcement learning. University of Sydney, Australia, 2007 - [j2]Mary Lou Maher, Michael Rosenman, Kathryn E. Merrick:
Agents for multidisciplinary design in virtual worlds. Artif. Intell. Eng. Des. Anal. Manuf. 21(3): 267-277 (2007) - [j1]Kathryn E. Merrick:
Modeling motivation for adaptive nonplayer characters in dynamic computer game worlds. Comput. Entertain. 5(4): 5:1-5:32 (2007) - [c6]Kathryn Elizabeth Merrick, Mary Lou Maher:
Motivated reinforcement learning for adaptive characters in open-ended simulation games. Advances in Computer Entertainment Technology 2007: 127-134 - 2006
- [c5]Kathryn E. Merrick, Mary Lou Maher:
Motivated reinforcement learning for non-player characters in persistent computer game worlds. Advances in Computer Entertainment Technology 2006: 3 - [c4]Mary Lou Maher, Kathryn E. Merrick, Owen Macindoe:
Intrinsically Motivated Intelligent Sensed Environments. EG-ICE 2006: 455-475 - 2005
- [c3]Mary Lou Maher, Kathryn E. Merrick:
Agent Models for Dynamic 3D Virtual Worlds. CW 2005: 27-34 - [c2]Kathryn Kasmarik, William T. B. Uther, Mary Lou Maher:
Motivated Agents. IJCAI 2005: 1505-1506 - 2003
- [c1]Kathryn Kasmarik, Joe Thurbon:
Experimental Evaluation of a Program Visualisation Tool for Use in Computer Science Education. InVis.au 2003: 111-116
Coauthor Index
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last updated on 2024-04-25 01:17 CEST by the dblp team
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