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John Thangarajah
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2020 – today
- 2024
- [c91]Sebastian Rodriguez, John Thangarajah, Andrew Davey:
Design Patterns for Explainable Agents (XAg). AAMAS 2024: 1621-1629 - [c90]Sebastian Rodriguez, John Thangarajah:
Explainable Agents (XAg) by Design. AAMAS 2024: 2712-2716 - 2023
- [c89]Michael Dann, John Thangarajah, Minyi Li:
Feedback-Guided Intention Scheduling for BDI Agents. AAMAS 2023: 1173-1181 - [c88]Sebastian Rodriguez, John Thangarajah, Michael Winikoff:
A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems. AAMAS 2023: 1182-1190 - [c87]Di Wu, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression with Maintenance Goals. AAMAS 2023: 2400-2402 - [c86]Wilkins Leong, Julie Porteous, John Thangarajah:
Story Sifting Using Object Detection Techniques. AI (1) 2023: 42-54 - [c85]Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. AI (2) 2023: 274-285 - [c84]Prabath Hetti Mudiyanselage, Ruwan B. Tennakoon, John Thangarajah, Robert Ware, Jason H. Callahan, Lucy Vivash:
Preliminary Study of Pseudo-PET Image Synthesis of Glucose Metabolism from Early-Phase PET Images of an Uncorrelated Radiotracer. DICTA 2023: 237-244 - [c83]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah:
Multi-Agent Intention Recognition and Progression. IJCAI 2023: 91-99 - 2022
- [j18]James Harland, John Thangarajah, Neil Yorke-Smith:
Quantifying the progress of goals in intelligent agents. Int. J. Agent Oriented Softw. Eng. 7(2): 108-151 (2022) - [c82]Sebastian Rodriguez, John Thangarajah, Michael Winikoff, Dhirendra Singh:
Testing Requirements via User and System Stories in Agent Systems. AAMAS 2022: 1119-1127 - [c81]Wilkins Leong, Julie Porteous, John Thangarajah:
Automated Story Sifting Using Story Arcs. AAMAS 2022: 1669-1671 - [c80]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Reward Machines. IJCAI 2022: 215-222 - [c79]Wilkins Leong, Julie Porteous, John Thangarajah:
Automated Sifting of Stories from Simulated Storyworlds. IJCAI 2022: 4950-4956 - [c78]Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning. ECML/PKDD (4) 2022: 52-67 - [i2]Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. CoRR abs/2203.05079 (2022) - 2021
- [c77]Sebastian Rodriguez, John Thangarajah, Michael Winikoff:
User and System Stories: An Agile Approach for Managing Requirements in AOSE. AAMAS 2021: 1064-1072 - [c76]Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression using Quantitative Summary Information. AAMAS 2021: 1416-1424 - [c75]Michael Dann, John Thangarajah:
Adapting to Reward Progressivity via Spectral Reinforcement Learning. ICLR 2021 - [c74]Michael Dann, Yuan Yao, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Black-Box Agents. IJCAI 2021: 132-138 - [i1]Michael Dann, John Thangarajah:
Adapting to Reward Progressivity via Spectral Reinforcement Learning. CoRR abs/2104.14138 (2021) - 2020
- [c73]Rick Evertsz, John Thangarajah:
A Framework for Engineering Human/Agent Teaming Systems. AAAI 2020: 2477-2484 - [c72]Michael Dann, John Thangarajah, Yuan Yao, Brian Logan:
Intention-Aware Multiagent Scheduling. AAMAS 2020: 285-293 - [c71]Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression under Uncertainty. IJCAI 2020: 10-16
2010 – 2019
- 2019
- [b1]Rick Evertsz, John Thangarajah, Thanh Ly:
Practical Modelling of Dynamic Decision Making. Springer Briefs in Intelligent Systems, Springer 2019, ISBN 978-3-319-95194-2, pp. 1-99 - [j17]Maria Vukovic, Vidhyasaharan Sethu, Jessica Parker, Lawrence Cavedon, Margaret Lech, John Thangarajah:
Estimating cognitive load from speech gathered in a complex real-life training exercise. Int. J. Hum. Comput. Stud. 124: 116-133 (2019) - [c70]Michael Dann, Fabio Zambetta, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. AAAI 2019: 881-889 - 2018
- [j16]Michael Dann, Fabio Zambetta, John Thangarajah:
Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. IEEE Trans. Games 10(1): 101-106 (2018) - [j15]Michael Dann, Fabio Zambetta, John Thangarajah:
Exploration in Continuous Control Tasks via Continually Parameterized Skills. IEEE Trans. Games 10(4): 390-399 (2018) - 2017
- [j14]James Harland, David N. Morley, John Thangarajah, Neil Yorke-Smith:
Aborting, suspending, and resuming goals and plans in BDI agents. Auton. Agents Multi Agent Syst. 31(2): 288-331 (2017) - [j13]Yoosef B. Abushark, Tim Miller, John Thangarajah, Michael Winikoff, James Harland:
Requirements specification via activity diagrams for agent-based systems. Auton. Agents Multi Agent Syst. 31(3): 423-468 (2017) - [j12]Bao Vo Luong, John Thangarajah, Fabio Zambetta:
A BDI Game Master Agent for Computer Role-Playing Games. Comput. Entertain. 15(1): 4:1-4:16 (2017) - [j11]Yoosef B. Abushark, John Thangarajah, James Harland, Tim Miller:
A framework for automatically ensuring the conformance of agent designs. J. Syst. Softw. 131: 266-310 (2017) - [c69]Brian Logan, John Thangarajah, Neil Yorke-Smith:
Progressing Intention Progression: A Call for a Goal-Plan Tree Contest. AAMAS 2017: 768-772 - [c68]Michael Dann, Fabio Zambetta, John Thangarajah:
Reusing Skills for First-Time Solution of Navigation Tasks in Platform Videogames. AAMAS 2017: 1517-1519 - [c67]Rick Evertsz, John Thangarajah, Michael Papasimeon:
The Conceptual Modelling of Dynamic Teams for Autonomous Systems. ER 2017: 311-324 - [c66]Nitin Yadav, John Thangarajah, Sebastian Sardiña:
Agent Design Consistency Checking via Planning. IJCAI 2017: 458-464 - [c65]Michael Dann, Fabio Zambetta, John Thangarajah:
Real-Time Navigation in Classical Platform Games via Skill Reuse. IJCAI 2017: 1582-1588 - 2016
- [j10]Simeon Visser, John Thangarajah, James Harland, Frank Dignum:
Preference-based reasoning in BDI agent systems. Auton. Agents Multi Agent Syst. 30(2): 291-330 (2016) - [c64]Yuan Yao, Brian Logan, John Thangarajah:
Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions. AAAI 2016: 2558-2565 - [c63]Yoosef B. Abushark, John Thangarajah, Tim Miller, Michael Winikoff, James Harland:
Requirements Specification in The Prometheus Methodology via Activity Diagrams. AAMAS 2016: 1247-1248 - [c62]Nitin Yadav, John Thangarajah:
Checking the Conformance of Requirements in Agent Designs Using ATL. ECAI 2016: 243-251 - [c61]Yuan Yao, Brian Logan, John Thangarajah:
Intention Selection with Deadlines. ECAI 2016: 1700-1701 - [c60]Carole Adam, Geoffrey Danet, John Thangarajah, Julie Dugdale:
BDI Modelling and Simulation of Human Behaviours in Bushfires. ISCRAM-med 2016: 47-61 - [e3]Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls:
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9-13, 2016. ACM 2016, ISBN 978-1-4503-4239-1 [contents] - 2015
- [j9]Edward Booth, John Thangarajah, Fabio Zambetta:
Applying norms and preferences for designing flexible game rules. Int. J. Agent Oriented Softw. Eng. 5(1): 69-103 (2015) - [j8]Daniel Macías Galindo, Lawrence J. Cavedon, John Thangarajah, Wilson Wong:
Effects of domain on measures of semantic relatedness. J. Assoc. Inf. Sci. Technol. 66(10): 2116-2131 (2015) - [j7]Rick Evertsz, John Thangarajah, Nitin Yadav, Thanh Ly:
A framework for modelling tactical decision-making in autonomous systems. J. Syst. Softw. 110: 222-238 (2015) - [c59]Rick Evertsz, John Thangarajah, Nitin Yadav, Thanh Chi Ly:
Agent Oriented Modelling of Tactical Decision Making. AAMAS 2015: 1051-1060 - [c58]Yoosef B. Abushark, John Thangarajah, Tim Miller, James Harland, Michael Winikoff:
Early Detection of Design Faults Relative to Requirement Specifications in Agent-Based Models. AAMAS 2015: 1071-1079 - [c57]John Thangarajah, James Harland, Neil Yorke-Smith:
Estimating the Progress of Maintenance Goals. AAMAS 2015: 1645-1646 - [c56]Rick Evertsz, John Thangarajah, Nik Ambukovski:
Using Agent-Based Tactics Models to Control Virtual Actors in VBS3. AAMAS 2015: 1929-1930 - [c55]Edward Booth, John Thangarajah, Fabio Zambetta:
Flexible story generation with norms and preferences in computer role playing games. CIG 2015: 68-74 - [c54]Michael Dann, Fabio Zambetta, John Thangarajah:
An improved approach to reinforcement learning in Computer Go. CIG 2015: 169-176 - [e2]Aditya Ghose, Nir Oren, Pankaj R. Telang, John Thangarajah:
Coordination, Organizations, Institutions, and Norms in Agent Systems X - COIN 2014 International Workshops, COIN@AAMAS, Paris, France, May 6, 2014, COIN@PRICAI, Gold Coast, QLD, Australia, December 4, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9372, Springer 2015, ISBN 978-3-319-25419-7 [contents] - 2014
- [j6]James Harland, David N. Morley, John Thangarajah, Neil Yorke-Smith:
An operational semantics for the goal life-cycle in BDI agents. Auton. Agents Multi Agent Syst. 28(4): 682-719 (2014) - [j5]Simon Duff, John Thangarajah, James Harland:
Maintenance Goals in Intelligent Agents. Comput. Intell. 30(1): 71-114 (2014) - [c53]Yoosef B. Abushark, John Thangarajah, Tim Miller, James Harland:
Checking consistency of agent designs against interaction protocols for early-phase defect location. AAMAS 2014: 933-940 - [c52]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
Towards quantifying the completeness of BDI goals. AAMAS 2014: 1369-1370 - [c51]Jie Jiang, John Thangarajah, Huib Aldewereld, Virginia Dignum:
Reasoning with agent preferences in normative multi-agent systems. AAMAS 2014: 1373-1374 - [c50]Rick Evertsz, John Thangarajah, Nitin Yadav, Thanh Li:
Tactics development framework (demonstration). AAMAS 2014: 1639-1640 - [c49]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
Quantifying the Completeness of Goals in BDI Agent Systems. ECAI 2014: 879-884 - [c48]Yoosef B. Abushark, Michael Winikoff, Tim Miller, James Harland, John Thangarajah:
Checking The Correctness of Agent Designs Against Model-Based Requirements. ECAI 2014: 953-954 - [c47]Yuan Yao, Brian Logan, John Thangarajah:
SP-MCTS-based Intention Scheduling for BDI Agents. ECAI 2014: 1133-1134 - [p1]Lin Padgham, John Thangarajah, Michael Winikoff:
Prometheus Research Directions. Agent-Oriented Software Engineering 2014: 155-171 - 2013
- [j4]Lin Padgham, Zhiyong Zhang, John Thangarajah, Tim Miller:
Model-Based Test Oracle Generation for Automated Unit Testing of Agent Systems. IEEE Trans. Software Eng. 39(9): 1230-1244 (2013) - [c46]Yoosef B. Abushark, John Thangarajah:
Propagating AUML Protocols to Detailed Design. EMAS@AAMAS 2013: 19-37 - [c45]Yoosef B. Abushark, John Thangarajah:
AUML protocols: from specification to detailed design. AAMAS 2013: 1173-1174 - [c44]Bao Vo Luong, John Thangarajah, Fabio Zambetta, Mahmud Hasan:
A BDI game master agent for computer role-playing games. AAMAS 2013: 1187-1188 - 2012
- [j3]Wilson Wong, John Thangarajah, Lin Padgham:
Contextual question answering for the health domain. J. Assoc. Inf. Sci. Technol. 63(11): 2313-2327 (2012) - [c43]John Thangarajah, Sebastian Sardiña, Lin Padgham:
Measuring plan coverage and overlap for agent reasoning. AAMAS 2012: 1049-1056 - [c42]Steven Shapiro, Sebastian Sardiña, John Thangarajah, Lawrence Cavedon, Lin Padgham:
Revising conflicting intention sets in BDI agents. AAMAS 2012: 1081-1088 - [c41]Wilson Wong, Lawrence Cavedon, John Thangarajah, Lin Padgham:
Goal-driven approach to open-ended dialogue management using BDI agents. AAMAS 2012: 1187-1188 - [c40]Luke Trodd, James Harland, John Thangarajah:
Agent deliberation via forward and backward chaining in linear logic. AAMAS 2012: 1443-1444 - [c39]Wilson Wong, Lawrence Cavedon, John Thangarajah, Lin Padgham:
Mixed-initiative conversational system using question-answer pairs mined from the web. CIKM 2012: 2707-2709 - [c38]Wilson Wong, Lawrence Cavedon, John Thangarajah, Lin Padgham:
Strategies for Mixed-Initiative Conversation Management using Question-Answer Pairs. COLING 2012: 2821-2834 - [c37]Luke Trodd, James Harland, John Thangarajah:
Agent Deliberation via Forward and Backward Chaining in Linear Logic. DALT 2012: 57-75 - [c36]Daniel Macías Galindo, Wilson Wong, Lawrence Cavedon, John Thangarajah:
Coherent Topic Transition in a Conversational Agent. INTERSPEECH 2012: 743-746 - [c35]Wilson Wong, Lawrence Cavedon, John Thangarajah, Lin Padgham:
Flexible Conversation Management Using a BDI Agent Approach. IVA 2012: 464-470 - 2011
- [j2]John Thangarajah, Lin Padgham:
Computationally Effective Reasoning About Goal Interactions. J. Autom. Reason. 47(1): 17-56 (2011) - [c34]John Thangarajah, Gaya Buddhinath Jayatilleke, Lin Padgham:
Scenarios for system requirements traceability and testing. AAMAS 2011: 285-292 - [c33]Simeon Visser, John Thangarajah, James Harland:
Reasoning about preferences in BDI agent systems. AAMAS 2011: 1139-1140 - [c32]Daniel Macías Galindo, Wilson Wong, Lawrence Cavedon, John Thangarajah:
Using a Lexical Dictionary and a Folksonomy to Automatically Construct Domain Ontologies. Australasian Conference on Artificial Intelligence 2011: 638-647 - [c31]Wilson Wong, John Thangarajah, Lin Padgham:
Health conversational system based on contextual matching of community-driven question-answer pairs. CIKM 2011: 2577-2580 - [c30]Simeon Visser, John Thangarajah, James Harland:
Reasoning about Preferences in Intelligent Agent Systems. IJCAI 2011: 426-431 - 2010
- [c29]Tim Miller, Lin Padgham, John Thangarajah:
Test Coverage Criteria for Agent Interaction Testing. AOSE 2010: 91-105 - [c28]Hongyuan Sun, John Thangarajah, Lin Padgham:
Eclipse-based Prometheus design tool. AAMAS 2010: 1769-1770 - [c27]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
Operational Behaviour for Executing, Suspending, and Aborting Goals in BDI Agent Systems. DALT 2010: 1-21 - [c26]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
On the Life-Cycle of BDI Agent Goals. ECAI 2010: 1031-1032 - [e1]Lars Braubach, Jean-Pierre Briot, John Thangarajah:
Programming Multi-Agent Systems - 7th International Workshop, ProMAS 2009, Budapest, Hungary, May 10-15, 2009. Revised Selected Papers. Lecture Notes in Computer Science 5919, Springer 2010, ISBN 978-3-642-14842-2 [contents]
2000 – 2009
- 2009
- [j1]Scott A. DeLoach, Lin Padgham, Anna Perini, Angelo Susi, John Thangarajah:
Using three AOSE toolkits to develop a sample design. Int. J. Agent Oriented Softw. Eng. 3(4): 416-476 (2009) - [c25]Zhiyong Zhang, John Thangarajah, Lin Padgham:
Automated Testing for Intelligent Agent Systems. AOSE 2009: 66-79 - [c24]Cu D. Nguyen, Anna Perini, Carole Bernon, Juan Pavón, John Thangarajah:
Testing in Multi-Agent Systems. AOSE 2009: 180-190 - [c23]Zhiyong Zhang, John Thangarajah, Lin Padgham:
Model based testing for agent systems. AAMAS (2) 2009: 1333-1334 - 2008
- [c22]Lin Padgham, John Thangarajah, Michael Winikoff:
Prometheus Design Tool. AAAI 2008: 1882-1883 - [c21]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
Suspending and resuming tasks in BDI agents. AAMAS (1) 2008: 405-412 - [c20]Zhiyong Zhang, John Thangarajah, Lin Padgham:
Automated unit testing intelligent agents in PDT. AAMAS (Demos) 2008: 1673-1674 - 2007
- [c19]Frank Dignum, Virginia Dignum, John Thangarajah, Lin Padgham, Michael Winikoff:
Open Agent Systems??? AOSE 2007: 73-87 - [c18]Lin Padgham, John Thangarajah, Michael Winikoff:
The Prometheus Design Tool - A Conference Management System Case Study. AOSE 2007: 197-211 - [c17]John Thangarajah, James Harland, David N. Morley, Neil Yorke-Smith:
Aborting tasks in BDI agents. AAMAS 2007: 6 - [c16]Lin Padgham, John Thangarajah, Michael Winikoff:
AUML protocols and code generation in the Prometheus design tool. AAMAS 2007: 270 - [c15]Zhiyong Zhang, John Thangarajah, Lin Padgham:
Automated Unit Testing for Agent Systems. ENASE 2007: 10-18 - [c14]Zhiyong Zhang, John Thangarajah, Lin Padgham:
Model Based Testing for Agent Systems. ICSOFT/ENASE (Selected Papers) 2007: 399-413 - 2006
- [c13]Carles Sierra, John Thangarajah, Lin Padgham, Michael Winikoff:
Designing Institutional Multi-Agent Systems. AOSE 2006: 84-103 - [c12]Simon Duff, James Harland, John Thangarajah:
On proactivity and maintenance goals. AAMAS 2006: 1033-1040 - [c11]John Thangarajah, Lin Padgham, Sebastian Sardiña:
Modelling situations in intelligent agents. AAMAS 2006: 1049-1051 - [c10]Gaya Buddhinath Jayatilleke, John Thangarajah, Lin Padgham, Michael Winikoff:
Component Agent Framework for domain-Experts (CAFnE) toolkit. AAMAS 2006: 1465-1466 - 2005
- [c9]John Thangarajah, Lin Padgham, Michael Winikoff:
Prometheus design tool. AAMAS 2005: 127-128 - [c8]Lin Padgham, John Thangarajah, Michael Winikoff:
Tool Support for Agent Development using the Prometheus Methodology. QSIC 2005: 383-388 - 2004
- [c7]John Thangarajah, Lin Padgham:
An Empirical Evaluation of Reasoning about Resource Conflicts. AAMAS 2004: 1298-1299 - 2003
- [c6]John Thangarajah, Lin Padgham, Michael Winikoff:
Detecting & exploiting positive goal interaction in intelligent agents. AAMAS 2003: 401-408 - [c5]John Thangarajah, Lin Padgham, Michael Winikoff:
Detecting & Avoiding Interference Between Goals in Intelligent Agents. IJCAI 2003: 721-726 - 2002
- [c4]John Thangarajah, Lin Padgham, James Harland:
Representation and Reasoning for Goals in BDI Agents. ACSC 2002: 259-265 - [c3]John Thangarajah, Michael Winikoff, Lin Padgham, Klaus Fischer:
Avoiding Resource Conflicts in Intelligent Agents. ECAI 2002: 18-22 - [c2]Michael Winikoff, Lin Padgham, James Harland, John Thangarajah:
Declarative & Procedural Goals in Intelligent Agent Systems. KR 2002: 470-481 - 2001
- [c1]Lin Padgham, John Thangarajah, David Poutakidis, Chandaka Fernando:
Team Description for RMIT-on-Fire: Robocup Rescue Simulation Team 2001. RoboCup 2001: 755-758
Coauthor Index
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