Kathryn Kasmarik

Affiliations:
  • 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 105 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems.
Swarm Evol. Comput., 2022

Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance.
CoRR, 2022

Decentralizing Self-organizing Maps.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review.
IEEE Trans. Cybern., 2021

Open-Ended Continuous Learning of Compound Goals.
IEEE Trans. Cogn. Dev. Syst., 2021

Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes.
IEEE Trans. Cogn. Dev. Syst., 2021

On the channel density of EEG signals for reliable biometric recognition.
Pattern Recognit. Lett., 2021

Novel binary differential evolution algorithm for knapsack problems.
Inf. Sci., 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

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm.
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

Task Allocation in Multi-Agent Systems with Grammar-Based Evolution.
Proceedings of the IVA '21: ACM International Conference on Intelligent Virtual Agents, 2021

2020
Autonomous detection of collective behaviours in swarms.
Swarm Evol. Comput., 2020

A novel design of differential evolution for solving discrete traveling salesman problems.
Swarm Evol. Comput., 2020

Q-Learning with Differential Entropy of Q-Tables.
CoRR, 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

A Better Set of Object-Oriented Design Metrics for Within-Project Defect Prediction.
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

Autonomous Recognition of Collective Behaviour in Robot Swarms.
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

Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery.
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

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms.
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
Hierarchical Deep Reinforcement Learning for Continuous Action Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Toward Electroencephalographic Profiling of Player Motivation: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2018

Toward Computational Motivation for Multi-Agent Systems and Swarms.
Frontiers Robotics AI, 2018

Assessing Human Judgment of Computationally Generated Swarming Behavior.
Frontiers Robotics AI, 2018

Intrinsic Rewards for Maintenance, Approach, Avoidance, and Achievement Goal Types.
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

Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Intrinsically Motivated Agent Behavior in a Swarm.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Modular Continuous Learning Framework.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Automatic synthesis of swarm behavioural rules from their atomic components.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

An Efficient Differential Evolution Algorithm for Solving 0-1 Knapsack Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning.
Paladyn J. Behav. Robotics, 2017

Value systems for developmental cognitive robotics: A survey.
Cogn. Syst. Res., 2017

On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.
Comput. Intell., 2017

Multi-Task Deep Reinforcement Learning for Continuous Action Control.
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
Experience-Based Generation of Maintenance andAchievement Goals on a Mobile Robot.
Paladyn J. Behav. Robotics, 2016

A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios.
Future Internet, 2016

Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges.
Cogn. Comput., 2016

Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection.
Adapt. Behav., 2016

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data.
IEEE Access, 2016

Quantifying Swarming Behaviour.
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

Eye movements as information markers in EEG data.
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

Computational Models of Motivation for Game-Playing Agents
Springer, ISBN: 978-3-319-33459-2, 2016

2015
Application of chaos measures to a simplified boids flocking model.
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
Evolution of intrinsic motives in a multi-player common pool resource game.
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

A hierarchical pea-based anomaly detection model.
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
Intrinsic Motivation and Introspection in Reinforcement Learning.
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

Evolution of Intrinsic Motives in Multi-agent Simulations.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Task allocation in multi-agent systems using models of motivation and leadership.
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

Achievement, affiliation, and power: Motive profiles for artificial agents.
Adapt. Behav., 2011

A curious agent for network anomaly detection.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

A computational model of achievement motivation for artificial agents.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Reasoning in the Absence of Goals.
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

Modeling Behavior Cycles as a Value System for Developmental Robots.
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

Motivated Reinforcement Learning - Curious Characters for Multiuser Games.
Springer, ISBN: 978-3-540-89186-4, 2009

2008
Modelling Behaviour Cycles for Life-Long Learning in Motivated Agents.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Designing Toys That Come Alive: Curious Robots for Creative Play.
Proceedings of the Entertainment Computing, 2008

Achieving Creative Behavior Using Curious Learning Agents.
Proceedings of the Creative Intelligent Systems, 2008

2007
Modelling motivation for experience-based attention focus in reinforcement learning.
PhD thesis, 2007

Modeling motivation for adaptive nonplayer characters in dynamic computer game worlds.
Comput. Entertain., 2007

Agents for multidisciplinary design in virtual worlds.
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
Intrinsically Motivated Intelligent Sensed Environments.
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
Motivated Agents.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Agent Models for Dynamic 3D Virtual Worlds.
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


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