Michael Barlow

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 52

Top Topics

Daily Activities

Reinforcement Learning

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams. IEEE Trans. Cogn. Dev. Syst. 16 (3) (2024)
Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Context-aware Agents based on Psychological Archetypes for Teamwork. AAMAS (2023)
Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow
Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics. IEEE Access 11 (2023)
Shuo Yang, Michael Barlow, Thomas Townsend, Xuejie Liu, Dilini Samarasinghe, Erandi Lakshika, Glennn Moy, Timothy M. Lynar, Benjamin P. Turnbull
Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards. IEEE Access 11 (2023)
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)
Mahtab Mohtasham Khani, Kathryn Kasmarik, Shadi Abpeikar, Michael Barlow
Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation. IJCCI (2023)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
Competitive Collaboration for Complex Task Learning in Agent Systems. AI (2) (2023)
Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. IJCAI (2023)
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 (2022)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. Swarm Evol. Comput. 69 (2022)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
Flow-Based Reinforcement Learning. IEEE Access 10 (2022)
Michael Barlow, Christian Konrad, Charana Nandasena
Streaming Set Cover in Practice. ALENEX (2021)
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) (2021)
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) (2021)
Seham Abd Elkader, Michael Barlow, Erandi Lakshika
Subject and Activity-wise Performance for Activity Independent Person Recognition. SSCI (2021)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. IVA (2021)
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Timothy M. Lynar, Nour Moustafa, Thomas Townsend, Benjamin P. Turnbull
A Data Driven Review of Board Game Design and Interactions of Their Mechanics. IEEE Access 9 (2021)
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) (2021)
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)
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)
Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow
Autonomous detection of collective behaviours in swarms. Swarm Evol. Comput. 57 (2020)
Leigh Gray, Erandi Lakshika, Michael Barlow
Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence. IEEE Trans. Games 12 (4) (2020)
Nima Salimi, Michael Barlow, Erandi Lakshika
Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. SSCI (2020)
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 (2020)
Seham Hussein, Michael Barlow, Erandi Lakshika
Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. Australasian Conference on Artificial Intelligence (2020)
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)
Tom Alldridge, Michael Barlow, Xiao Xuan Teh, Edward Barker, Samuel Sutherland-Dee, Anne Roudaut
PaNDa-Glove: A Sensory Substitution Glove for Peripheral Neuropathy. CHI Extended Abstracts (2020)
Nima Salimi, Michael Barlow, Erandi Lakshika
Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. SSCI (2019)
Dulakshi Vihanga, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. CoG (2019)
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)
Teeranan Charoensook, Michael Barlow, Erandi Lakshika
Heart Rate and Breathing Variability for Virtual Reality Game Play. SeGAH (2019)
Darpan Dhawan, Michael Barlow, Erandi Lakshika
Prosthetic Rehabilitation Training in Virtual Reality. SeGAH (2019)
Leo Ghignone, Michael Barlow
Shallow Network Training With Dynamic Sample Weights Decay - a Potential Function Approximator for Reinforcement Learning. SSCI (2019)
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)
Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik
Automatic synthesis of swarm behavioural rules from their atomic components. GECCO (2018)
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)
Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow
Toward Computational Motivation for Multi-Agent Systems and Swarms. Frontiers Robotics AI 5 (2018)
Mallika R. Robinson, Ahmed Imran, Michael Barlow
Impact of Macro-level Regulations on Micro-level (Individual) Use of ICT: A case of mobile services in India. ICEGOV (2018)
Zubair Shah, Abdun Naser Mahmood, Michael Barlow, Zahir Tari, Xun Yi, Albert Y. Zomaya
Computing Hierarchical Summary from Two-Dimensional Big Data Streams. IEEE Trans. Parallel Distributed Syst. 29 (4) (2018)
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 (2018)
Seham Abd Elkader, Michael Barlow, Erandi Lakshika
Wearable sensors for recognizing individuals undertaking daily activities. UbiComp (2018)
Md Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow
Intrinsically Motivated Agent Behavior in a Swarm. ICDL-EPIROB (2018)
Erandi Lakshika, Michael Barlow, Adam Easton
Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework. IEEE Trans. Comput. Intell. AI Games 9 (3) (2017)
Mallika R. Robinson, Ahmed Imran, Michael Barlow
Practice of Design Science Research in a Developing Country: Circumscription Knowledge Informed by the Socio-cultural Context. ACIS (2017)
Erandi Lakshika, Michael Barlow
Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective. SeGAH (2017)
Erandi Lakshika, Michael Barlow
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Md Shohel Ahmed, Sameer Alam, Michael Barlow
An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing. IES (2016)
Zubair Shah, Abdun Naser Mahmood, Michael Barlow
Computing Hierarchical Summary of the Data Streams. PAKDD (2) (2016)
James Dannatt, Michael Barlow, Erandi Lakshika
A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health. SeGAH (2016)
Erandi Lakshika, Michael Barlow, Adam Easton
Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement. Appl. Intell. 44 (4) (2016)
Michael Barlow, Erandi Lakshika
What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution. CEC (2016)
Hussein A. Abbass, Eleni Petraki, Kathryn E. Merrick, John Harvey, Michael Barlow
Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges. Cogn. Comput. 8 (3) (2016)
Erandi Lakshika, Michael Barlow, Adam Easton
Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement. Australasian Conference on Artificial Intelligence (2015)
Zubair Shah, Abdun Naser Mahmood, Michael Barlow
Computing discounted multidimensional hierarchical aggregates using modified Misra Gries algorithm. Perform. Evaluation 91 (2015)
Shen Ren, Jiangjun Tang, Michael Barlow, Hussein A. Abbass
An interactive evolutionary computation framework controlled via EEG signals. FUZZ-IEEE (2014)
Suranjith De Silva, Michael Barlow, Adam Easton
An Evaluation of DTW Approaches for Whole-of-Body Gesture Recognition. BCS HCI (2014)
Hafsa Ismail, Kathryn E. Merrick, Michael Barlow
Self-motivated learning of achievement and maintenance tasks for non-player characters in computer games. CIHLI (2014)
Suranjith De Silva, Michael Barlow, Adam Easton
Harnessing multi-user design and computation to devise archetypal whole-of-body gestures: a novel framework. OZCHI (2013)
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) (2013)
Erandi Lakshika, Michael Barlow, Adam Easton
Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework. ALIFE (2013)
Erandi Lakshika, Michael Barlow, Adam Easton
Fidelity and complexity of standing group conversation simulations: A framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments. IEEE Congress on Evolutionary Computation (2012)
Lam Thu Bui, Hussein A. Abbass, Michael Barlow, Axel Bender
Robustness Against the Decision-Maker's Attitude to Risk in Problems With Conflicting Objectives. IEEE Trans. Evol. Comput. 16 (1) (2012)
Shen Ren, Michael Barlow, Hussein A. Abbass
Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities in Real-Time Problem Solving. ICONIP (4) (2012)
Lam Thu Bui, Stephen Baker, Axel Bender, Hussein A. Abbass, Michael Barlow, Ruhul A. Sarker
A grid-based heuristic for two-dimensional packing problems. IEEE Congress on Evolutionary Computation (2011)
Lam Thu Bui, Jing Liu, Axel Bender, Michael Barlow, Slawomir Wesolkowski, Hussein A. Abbass
DMEA: a direction-based multiobjective evolutionary algorithm. Memetic Comput. 3 (4) (2011)
Hock Chuan Lim, Rob Stocker, Michael Barlow, Henry Larkin
Interplay of ethical trust and social moral norms: Environment modelling and computational mechanisms in agent-based social simulation (ABSS). Web Intell. Agent Syst. 9 (4) (2011)
Hock Chuan Lim, Rob Stocker, Michael Barlow, Henry Larkin
Modelling interplay in normative social systems: towards a heuristics formalism of agents and networks. MEDES (2010)
Lam Thu Bui, Michael Barlow
Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction. ACAL (2009)
Lam Thu Bui, Slawomir Wesolkowski, Axel Bender, Hussein A. Abbass, Michael Barlow
A dominance-based stability measure for multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2009)
Sameer Alam, Hussein A. Abbass, Michael Barlow
ATOMS: Air Traffic Operations and Management Simulator. IEEE Trans. Intell. Transp. Syst. 9 (2) (2008)
Ayman Ghoneim, Hussein A. Abbass, Michael Barlow
Characterizing Game Dynamics in Two-Player Strategy Games Using Network Motifs. IEEE Trans. Syst. Man Cybern. Part B 38 (3) (2008)
Ayman Ghoneim, Hussein A. Abbass, Michael Barlow
Investigating alliance dynamics using a co-evolutionary iterated prisoner's dilemma with an exit option. IEEE Congress on Evolutionary Computation (2007)
Sameer Alam, Minh Ha Nguyen, Hussein A. Abbass, Michael Barlow
Ants Guide Future Pilots. ACAL (2007)
Michael Barlow, Ang Yang, Hussein A. Abbass
A Temporal Risk Assessment Framework for Planning A Future Force Structure. CISDA (2007)
Ayman Ghoneim, Michael Barlow, Hussein A. Abbass
Rounds Effect in Evolutionary Games. ACAL (2007)
Ayman Ghoneim, Hussein A. Abbass, Michael Barlow
Information Sharing in the Iterated Prisoner's Dilemma Game. CIG (2007)
Ayman Ghoneim, Hussein A. Abbass, Michael Barlow
The critical point when prisoners meet the minority: local and global dynamics in mixed evolutionary games. IEEE Congress on Evolutionary Computation (2007)
Sameer Alam, Lam Thu Bui, Hussein A. Abbass, Michael Barlow
Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards. SEAL (2006)
Michael Barlow, Mehrdad Khodai-Joopari, Frantz Clermont
A forensically-motivated tool for selecting cepstrally-consistent steady-states from non-contemporaneous vowel utterances. INTERSPEECH (2004)
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, Michael Barlow
A Comparative Study for Domain Ontology Guided Feature Extraction. ACSC (2003)
Michael Barlow, Michael Wagner
Measuring the dynamic encoding of speaker identity and dialect in prosodic parameters. ICSLP (1998)
Tatsuo Matsuoka, Robert Hasson, Michael Barlow, Sadaoki Furui
Language model acquisition from a text corpus for speech understanding. ICASSP (1996)
Ian Booth, Michael Barlow, Brett Watson
Enhancements to DTW and VQ decision algorithms for speaker recognition. Speech Commun. 13 (3-4) (1993)
Louis Kruh, Ralph Erskine, Michael Barlow
Reviews and Things Cryptologic. Cryptologia 12 (1) (1988)
Michael Barlow
The Voynich Manuscript - by Voynich? Cryptologia 10 (4) (1986)