ORCID Profile
0000-0002-7699-6444
Current Organisation
RMIT University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Artificial Intelligence and Image Processing | Adaptive Agents and Intelligent Robotics | Software Engineering | Other Artificial Intelligence | Analysis Of Algorithms And Complexity |
ANZSRC Socio-Economic Objective (SEO)
Application tools and system utilities | Computer software and services not elsewhere classified | Expanding Knowledge in the Information and Computing Sciences | Computer Software and Services not elsewhere classified
Related Links
Publications
On proactivity and maintenance goals
Publisher: ACM
Date: 08-05-2006
Using three AOSE toolkits to develop a sample design
Publisher: Inderscience Publishers
Date: 2009
A framework for automatically ensuring the conformance of agent designs
Publisher: Elsevier BV
Date: 09-2017
Modelling situations in intelligent agents
Publisher: ACM
Date: 08-05-2006
Applying norms and preferences for designing flexible game rules
Publisher: Inderscience Publishers
Date: 2015
Propagating AUML protocols to detailed design
Publisher: Springer Berlin Heidelberg
Date: 2013
The conceptual modelling of dynamic teams for autonomous systems
Publisher: Springer International Publishing
Date: 2017
Performance degrades less under increased workload with the addition of speech control in a dynamic environment
Publisher: Elsevier BV
Date: 10-2021
Using a lexical dictionary and a folksonomy to automatically construct domain ontologies
Publisher: Springer Berlin Heidelberg
Date: 2011
Model-Based Test Oracle Generation for Automated Unit Testing of Agent Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
DOI: 10.1109/TSE.2013.10
Effects of domain on measures of semantic relatedness
Publisher: Wiley
Date: 27-04-2015
DOI: 10.1002/ASI.23303
Test Coverage Criteria for Agent Interaction Testing
Publisher: Springer Berlin Heidelberg
Date: 2011
Prometheus Research Directions
Publisher: Springer Berlin Heidelberg
Date: 2014
Designing Institutional Multi-Agent Systems
Publisher: Springer Berlin Heidelberg
A BDI-Based Methodology for Eliciting Tactical Decision-Making Expertise
Publisher: Springer International Publishing
Date: 28-07-2017
Health conversational system based on contextual matching of community-driven question-answer pairs
Publisher: ACM
Date: 24-10-2011
Flexible Conversation Management Using a BDI Agent Approach
Publisher: Springer Berlin Heidelberg
Date: 2012
Estimating cognitive load from speech gathered in a complex real-life training exercise
Publisher: Elsevier BV
Date: 04-2019
Incidental detection of prostate cancer with computed tomography scans
Publisher: Springer Science and Business Media LLC
Date: 12-04-2021
DOI: 10.1038/S41598-021-86972-Y
Abstract: Prostate cancer (PCa) is the second most frequent type of cancer found in men worldwide, with around one in nine men being diagnosed with PCa within their lifetime. PCa often shows no symptoms in its early stages and its diagnosis techniques are either invasive, resource intensive, or has low efficacy, making widespread early detection onerous. Inspired by the recent success of deep convolutional neural networks (CNN) in computer aided detection (CADe), we propose a new CNN based framework for incidental detection of clinically significant prostate cancer (csPCa) in patients who had a CT scan of the abdomen elvis for other reasons. While CT is generally considered insufficient to diagnose PCa due to its inferior soft tissue characterisation, our evaluations on a relatively large dataset consisting of 139 clinically significant PCa patients and 432 controls show that the proposed deep neural network pipeline can detect csPCa patients at a level that is suitable for incidental detection. The proposed pipeline achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.88 (95% Confidence Interval: 0.86–0.90) at patient level csPCa detection on CT, significantly higher than the AUCs achieved by two radiologists (0.61 and 0.70) on the same task.
Computationally Effective Reasoning About Goal Interactions
Publisher: Springer Science and Business Media LLC
Date: 08-05-2010
Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Aborting tasks in BDI agents
Publisher: ACM
Date: 14-05-2007
Requirements specification via activity diagrams for agent-based systems
Publisher: Springer Science and Business Media LLC
Date: 09-02-2017
AUML protocols and code generation in the Prometheus design tool
Publisher: ACM
Date: 14-05-2007
Testing in multi-agent systems
Publisher: Springer Berlin Heidelberg
Date: 2011
Aborting, suspending, and resuming goals and plans in BDI agents
Publisher: Springer Science and Business Media LLC
Date: 11-12-2017
A BDI game master agent for computer role-playing games
Publisher: Association for Computing Machinery (ACM)
Date: 03-2017
DOI: 10.1145/2629700
Abstract: In this paper we describe an approach for developing an intelligent game master (GM) for computer role-playing games. The role of the GM is to set up the game environment, manage the narrative ow and enforce the game rules whilst keeping the players engaged. Our approach is to use the popular Belief-Desire-Intention (BDI) model of agents to developing a GM. We describe the process for creating such a GM and how we implemented a prototype of it for a scenario in the Neverwinter Nights (NWN) game. We describe the evaluation of our prototype with human participants who played the chosen NWN scenario both with and without the BDI GM. The comparison survey completed by the participants shows that the system with the BDI GM was the clear winner with respect to game replayability, flexibility, objective setting and overall interest thus, validating our hypothesis that a BDI GM will provide game players with a better gaming experience.
Programming Multi-Agent Systems
Publisher: Springer Berlin Heidelberg
Date: 2010
A framework for modelling tactical decision-making in autonomous systems
Publisher: Elsevier BV
Date: 12-2015
Agent deliberation via forward and backward chaining in linear logic
Publisher: Springer Berlin Heidelberg
Date: 2013
Automated Testing for Intelligent Agent Systems
Publisher: Springer Berlin Heidelberg
Date: 2011
Coordination, Organizations, Institutions, and Norms in Agent Systems X
Publisher: Springer International Publishing
Date: 2015
Component Agent Framework for domain-Experts (CAFnE) toolkit
Publisher: ACM
Date: 08-05-2006
Open Agent Systems ???
Publisher: Springer Berlin Heidelberg
Date: 2008
BDI Modelling and Simulation of Human Behaviours in Bushfires
Publisher: Springer International Publishing
Date: 2016
Mixed-initiative conversational system using question-answer pairs mined from the web
Publisher: ACM
Date: 29-10-2012
Maintenance goals in intelligent agents
Publisher: Wiley
Date: 23-09-2014
DOI: 10.1111/COIN.12000
The Prometheus Design Tool – A Conference Management System Case Study
Publisher: Springer Berlin Heidelberg
Date: 2008
Flexible story generation with norms and preferences in computer role playing games
Publisher: IEEE
Date: 08-2015
Detecting & exploiting positive goal interaction in intelligent agents
Publisher: ACM
Date: 14-07-2003
Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning
Publisher: Springer Nature Switzerland
Date: 2023
Model Based Testing for Agent Systems
Publisher: Springer Berlin Heidelberg
Date: 2008
An improved approach to reinforcement learning in Computer Go
Publisher: IEEE
Date: 08-2015
An operational semantics for the goal life-cycle in BDI agents
Publisher: Springer Science and Business Media LLC
Date: 02-10-2014
Tool Support for Agent Development using the Prometheus Methodology
Publisher: IEEE
Date: 2005
DOI: 10.1109/QSIC.2005.66
Real-Time Navigation in Classical Platform Games via Skill Reuse
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2017
Abstract: In platform videogames, players are frequently tasked with solving medium-term navigation problems in order to gather items or powerups. Artificial agents must generally obtain some form of direct experience before they can solve such tasks. Experience is gained either through training runs, or by exploiting knowledge of the game's physics to generate detailed simulations. Human players, on the other hand, seem to look ahead in high-level, abstract steps. Motivated by human play, we introduce an approach that leverages not only abstract "skills", but also knowledge of what those skills can and cannot achieve. We apply this approach to Infinite Mario, where despite facing randomly generated, maze-like levels, our agent is capable of deriving complex plans in real-time, without relying on perfect knowledge of the game's physics.
Contextual question answering for the health domain
Publisher: Wiley
Date: 30-10-2012
DOI: 10.1002/ASI.22733
Preference-based reasoning in BDI agent systems
Publisher: Springer Science and Business Media LLC
Date: 18-02-2016
Agent Design Consistency Checking via Planning
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2017
Abstract: In this work we present a novel approach to check the consistency of agent designs (prior to any implementation) with respect to the requirements specifications via automated planning. This checking is essentially a search problem which makes planning technology an appropriate solution. We focus our work on BDI agent systems and the Prometheus design methodology in order to directly compare our approach to previous work. Our experiments in more than 16K random instances prove that the approach is more effective than previous ones proposed: it achieves higher coverage, lower run-time, and importantly, can handle loops in the agent detailed design and unbounded subgoal reasoning.
Practical Modelling of Dynamic Decision Making
Publisher: Springer International Publishing
Date: 2019
Operational behaviour for executing, suspending, and aborting goals in BDI agent systems
Publisher: Springer Berlin Heidelberg
Date: 2011
Exploration in Continuous Control Tasks via Continually Parameterized Skills
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Related Organisations
Related Funding Activities
Tools, Methodologies And Reasoning Support For Developing Companion-toy Modules
Start Date: 2011
End Date: 2013
Funder: Australian Research Council
View Funded ActivityIntegrating And Automating Testing In Multi-agent System Development
Start Date: 2010
End Date: 2012
Funder: Australian Research Council
View Funded ActivityIntention Selection In Intelligent Agent Systems
Start Date: 2010
End Date: 2012
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP1094627
Start Date: 2010
End Date: 12-2015
Amount: $275,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP110100050
Start Date: 11-2011
End Date: 12-2015
Amount: $225,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100100037
Start Date: 06-2013
End Date: 09-2015
Amount: $230,000.00
Funder: Australian Research Council
View Funded Activity