Kathryn Kasmarik
Orcid: 0000-0001-7187-0474Affiliations:
- University of New South Wales, School of Engineering and Information Technology, Canberra, NSW, Australia
- University of Sydney, NSW, Australia (PhD 2007)
According to our database1,
Kathryn Kasmarik
authored at least 123 papers
between 2003 and 2024.
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Bibliography
2024
ACM Comput. Surv., February, 2024
2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles.
IEEE Trans. Intell. Transp. Syst., November, 2023
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms.
Frontiers Neurorobotics, June, 2023
Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments.
IEEE CAA J. Autom. Sinica, March, 2023
IEEE Trans. Cogn. Dev. Syst., 2023
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles.
CoRR, 2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes.
CoRR, 2023
Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023
Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Swarm Evol. Comput., 2022
Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours.
Swarm Evol. Comput., 2022
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems.
Swarm Evol. Comput., 2022
Swarm Evol. Comput., 2022
CoRR, 2022
Proceedings of the 26th International Conference Information Visualisation, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
IEEE Trans. Cybern., 2021
Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes.
IEEE Trans. Cogn. Dev. Syst., 2021
Pattern Recognit. Lett., 2021
A novel trust architecture integrating differentiated trust and response strategies for a team of agents.
Int. J. Intell. Syst., 2021
Exploiting abstractions for grammar-based learning of complex multi-agent behaviours.
Int. J. Intell. Syst., 2021
CoRR, 2021
Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IVA '21: ACM International Conference on Intelligent Virtual Agents, 2021
2020
A novel design of differential evolution for solving discrete traveling salesman problems.
Swarm Evol. Comput., 2020
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding.
CoRR, 2020
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees.
CoRR, 2020
A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments.
Adapt. Behav., 2020
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020
Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
2019
A novel differential evolution mapping technique for generic combinatorial optimization problems.
Appl. Soft Comput., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach.
Proceedings of the IEEE Conference on Games, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Cogn. Dev. Syst., 2018
Frontiers Robotics AI, 2018
Frontiers Robotics AI, 2018
Frontiers Neurorobotics, 2018
Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play.
Frontiers Neurorobotics, 2018
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction.
CoRR, 2018
Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning.
Paladyn J. Behav. Robotics, 2017
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.
Comput. Intell., 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
A 'Breadcrumbs' Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
2016
Paladyn J. Behav. Robotics, 2016
A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios.
Future Internet, 2016
Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection.
Adapt. Behav., 2016
IEEE Access, 2016
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Designing artificial agents to detect the motive profile of users in virtual worlds and games.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016
Springer, ISBN: 978-3-319-33459-2, 2016
2015
Swarm Intell., 2015
The Role of Implicit Motives in Strategic Decision-Making: Computational Models of Motivated Learning and the Evolution of Motivated Agents.
Games, 2015
Task Allocation Using Particle Swarm Optimisation and Anomaly Detection to Generate a Dynamic Fitness Function.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
Autonomous Hypothesis Generation as an Environment Learning Mechanism for Agent Design.
Proceedings of the Artificial Life and Computational Intelligence, 2015
2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014
Self-motivated learning of achievement and maintenance tasks for non-player characters in computer games.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014
Effective motive profiles and swarm compositions for motivated particle swarm optimisation applied to task allocation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014
Task allocation under communication constraints using motivated particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
An online evolutionary rule learning algorithm with incremental attribute discretization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery.
Evol. Intell., 2013
A shape grammar approach to computational creativity and procedural content generation in massively multiplayer online role playing games.
Entertain. Comput., 2013
Investigating Differential Evolution based rule discovery in learning classifier systems.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013
Proceedings of the International Conference on Computing, Networking and Communications, 2013
Reduct based ensemble of learning classifier system for real-valued classification problems.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures.
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013
2012
IEEE Trans. Auton. Ment. Dev., 2012
Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Case studies using multiuser virtual worlds as an innovative platform for collaborative design.
J. Inf. Technol. Constr., 2011
Adapt. Behav., 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Proceedings of the Advances in Cognitive Systems, 2011
A Pedagogical Approach to Exploring Place and Interaction Design in Collaborative Virtual Environments.
Proceedings of the Collaborative Design in Virtual Environments., 2011
2010
An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science.
IEEE Trans. Educ., 2010
A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots.
IEEE Trans. Auton. Ment. Dev., 2010
Adapt. Behav., 2010
2009
Motivated Learning from Interesting Events: Adaptive, Multitask Learning Agents for Complex Environments.
Adapt. Behav., 2009
Evaluating intrinsically motivated robots using affordances and point-cloud matrices.
Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob 2009), 2009
Springer, ISBN: 978-3-540-89186-4, 2009
2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Entertainment Computing, 2008
Proceedings of the Creative Intelligent Systems, 2008
2007
PhD thesis, 2007
Modeling motivation for adaptive nonplayer characters in dynamic computer game worlds.
Comput. Entertain., 2007
Artif. Intell. Eng. Des. Anal. Manuf., 2007
Motivated reinforcement learning for adaptive characters in open-ended simulation games.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2007
2006
Proceedings of the Intelligent Computing in Engineering and Architecture, 2006
Motivated reinforcement learning for non-player characters in persistent computer game worlds.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2006
2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the 4th International Conference on Cyberworlds (CW 2005), 2005
2003
Experimental Evaluation of a Program Visualisation Tool for Use in Computer Science Education.
Proceedings of the Australasian Symposium on Information Visualisation, 2003