By Professor Mary-Anne Williams

Conference Papers

Tran QN; Low GC; Williams M, 2003, 'A Feature Analysis Framework for Evaluating Multi-Agent System Development Methodologies', in 14th International Symposium, ISMIS 2003, Maebashi Citry, Japan, presented at 14th International Symposium, ISMIS 2003, Maebashi Citry, Japan, 28 October 2003 - 31 October 2003

Abecker A; Lipson H; Antonsson EK; Callaway CB; Dignum V; Doherty P; Van Elst L; Freed M; Freedman R; Guesgen H; Jones G; Koza J; Kortenkamp D; Maybury M; McCarthy J; Mitra D; Renz J; Schreckenghost D; Williams MA, 2003, '2003 AAAI Spring Symposium Series', in AI Magazine, pp. 131 - 139

Williams MA; Elliot S, 2003, 'An evaluation of intelligent agent based innovation in the wholesale financial services industry', in IFIP Advances in Information and Communication Technology, pp. 91 - 106, http://dx.doi.org/10.1007/978-0-387-35692-1_6

Lee I; Williams MA, 2003, 'Multi-level clustering and reasoning about its clusters using region connection calculus', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 283 - 294, http://dx.doi.org/10.1007/3-540-36175-8_28

Liu W; Williams MA, 2002, 'Trustworthiness of information sources and information pedigrees', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 290 - 306, http://dx.doi.org/10.1007/3-540-45448-9_21

Gärdenfors P; Williams MA, 2001, 'Reasoning about categories in conceptual spaces', in Ijcai International Joint Conference on Artificial Intelligence, pp. 385 - 392

Benferhat S; Kaci S; Le Berre D; Williams MA, 2001, 'Weakening conflicting information for iterated revision and knowledge integration', in Ijcai International Joint Conference on Artificial Intelligence, pp. 109 - 115

Sinnappan S; Williams MA; Muthaly S, 2001, 'Agent based architecture for internet marketing', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 158 - 169, http://dx.doi.org/10.1007/3-540-45408-x_17

Lang J; Marquis P; Williams MA, 2001, 'Updating epistemic states', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 297 - 308, http://dx.doi.org/10.1007/3-540-45656-2_26

Antoniou G; Williams MA, 1998, 'Revising default theories', in Proceedings of the International Conference on Tools with Artificial Intelligence, pp. 423 - 430

Williams MA, 1997, 'Anytime belief revision', in Ijcai International Joint Conference on Artificial Intelligence, pp. 74 - 79

Williams MA, 1997, 'Belief revision as database update', in Proceedings Intelligent Information Systems Iis 1997, pp. 410 - 414, http://dx.doi.org/10.1109/IIS.1997.645321

Antoniou G; Courtney AP; Ernsttand J; Williams MA, 1996, 'A system for computing constrained default logic extensions', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 237 - 250

Antoniou G; Williams MA, 1996, 'Default reasoning and belief revision in the CIN project', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 691 - 693, http://dx.doi.org/10.1007/3-540-61313-7_110

Williams MA; Pagnucco M; Foo N; Sims B, 1995, 'Determining explanations using transmutations', in Mellish CS (ed.), IJCAI-95 - PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2, MORGAN KAUFMANN PUB INC, CANADA, MONTREAL, pp. 822 - 827, presented at 14th International Joint Conference on Artificial Intelligence (IJCAI-95), CANADA, MONTREAL, 20 August 1995 - 25 August 1995, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1995BE63Q00107&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Williams MA, 1995, 'Conditionalizing expectations', in Anziis 1995 Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, pp. 111 - 116, http://dx.doi.org/10.1109/ANZIIS.1995.705724

Williams MA, 1995, 'Iterated Theory Base Change: A Computational Model', in Ijcai International Joint Conference on Artificial Intelligence, pp. 1541 - 1547

Elliot S; Williams M-A; Bjorn-Andersen N, 'Strategic Management of Technology-Enabled Disruptive Innovation: Next Generation Web Technologies', in International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), IEEE, pp. 113 - 113, presented at International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), http://dx.doi.org/10.1109/cimca.2005.1631251

Conference Presentations

Williams M-A, 2023, 'Organisations and Society: A Dynamic Capabilities Perspective', presented at 2023 Organization & Society Network Conference, 30 November 2023 - 01 December 2023

Williams MA, 2021, 'Designing human-robot interaction with social intelligence', http://dx.doi.org/10.1145/3434073.3444865

Reports

Williams M-A, 2023, Responsible AI: Australia’s unfair advantage in the new global wave of AI innovation, ATSE, Canberra, http://dx.doi.org/10.26190/unsworks/28741, https://www.atse.org.au/wp-content/uploads/2023/11/11-13-Williams-%E2%80%94-Australias-unfair-advantage-in-the-new-global-wave-of-AI-innovation.pdf

Software / Code

Williams M-A, 2023, Playground X, A new playground for generative AI in Education, Published: 01 March 2023, Software / Code

Media

Dhaenens A; Sanders K; Williams M, 2023, Business AI: The game-changer in predicting and enhancing employee retention, https://www.businessthink.unsw.edu.au/articles/ai-predicting-employee-retention

Williams M-A; Dawson N; Rizoiu M-A, 2021, How AI can help choose your next career and stay ahead of automation, https://theconversation.com/how-ai-can-help-choose-your-next-career-and-stay-ahead-of-automation-164162

Preprints

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, 2020, Predicting Skill Shortages in Labor Markets: A Machine Learning Approach, http://dx.doi.org/10.48550/arxiv.2004.01311

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, 2019, Adaptively selecting occupations to detect skill shortages from online job ads, http://dx.doi.org/10.1109/BigData47090.2019.9005967

Gudi SLKC; Johnston B; Williams M-A, 2019, Fog Robotics: A Summary, Challenges and Future Scope, http://arxiv.org/abs/1908.04935v1

Gudi SLKC; Ojha S; Johnston B; Clark J; Williams M-A, 2018, Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction, http://arxiv.org/abs/1811.05578v1

Skillicorn DB; Billingsley R; Williams M-A, 2018, The Design Space of Social Robots, http://arxiv.org/abs/1801.04857v1

Skillicorn DB; Alsadhan N; Billingsley R; M-A-Williams , 2017, Social Robot Modelling of Human Affective State, http://arxiv.org/abs/1705.00786v1

Vitale J; Williams M-A; Johnston B; Boccignone G, 2014, Affective Facial Expression Processing via Simulation: A Probabilistic Model, http://dx.doi.org/10.1016/j.bica.2014.11.005

Surden H; Williams M-A, How Self-Driving Cars Work, http://dx.doi.org/10.2139/ssrn.2784465

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, Predicting Skill Shortages in Labor Markets: A Machine Learning Approach, http://dx.doi.org/10.2139/ssrn.3681132

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