By Professor Mary-Anne Williams

Books

, 2010, Knowledge Science, Engineering and Management, Bi Y; Williams M-A, (ed.), Springer Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-15280-1

Book Chapters

Williams M-A, 2021, 'Explainable artificial intelligence', in Vogl R (ed.), Research Handbook on Big Data Law, Edward Elgar Publishing, pp. 317 - 339

Williams M-A, 2001, 'An Operational Measure of Similarity Based on Change', in Applied Logic Series, Springer Netherlands, pp. 135 - 145, http://dx.doi.org/10.1007/978-94-015-9817-0_6

Rott H; Williams M-A, 2001, 'Introduction', in Applied Logic Series, Springer Netherlands, pp. 1 - 6, http://dx.doi.org/10.1007/978-94-015-9817-0_1

Rott H; Williams M-A, 2001, 'Introduction', in Frontiers in Belief Revision, Springer Nature, pp. 1 - 6, http://dx.doi.org/10.1007/978-94-015-9817-0_1

Liu W; Williams MA, 1999, 'A framework for multi-agent belief revision part I: The role of ontology', in , pp. 168 - 179, http://dx.doi.org/10.1007/3-540-46695-9_15

Benferhat S; Dubois D; Prade H; Williams MA, 1999, 'A practical approach to fusing prioritized knowledge bases', in , pp. 222 - 236, http://dx.doi.org/10.1007/3-540-48159-1_16

Williams MA, 1998, 'Applications of belief revision', in , pp. 287 - 316, http://dx.doi.org/10.1007/bfb0055503

Macnish CK; Williams MA, 1998, 'From belief revision to design revision: Applying theory change to changing requirements', in , pp. 206 - 220, http://dx.doi.org/10.1007/3-540-64413-X_37

Antoniou G; Williams MA, 1998, 'Some approaches to reasoning with incomplete and changing information', in , pp. 9 - 44, http://dx.doi.org/10.1007/3-540-64413-X_26

Antoniou G; Williams MA, 1996, 'CIN: An Intelligent Information Management Toolkit', in Advanced IT Tools, Springer US, pp. 395 - 401, http://dx.doi.org/10.1007/978-0-387-34979-4_44

Williams MA, 1994, 'On the logic of theory base change', in , pp. 86 - 105, http://dx.doi.org/10.1007/bfb0021966

WILLIAMS MA, 1994, 'TRANSMUTATIONS OF KNOWLEDGE SYSTEMS', in Doyle J; Sandewall E; Torasso P (ed.), , MORGAN KAUFMANN PUB INC, pp. 619 - 629, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1994BB13G00055&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Chen S; Williams M-A, 'Learning Personalized Ontologies from Text', in Personalized Information Retrieval and Access, IGI Global, pp. 1 - 29, http://dx.doi.org/10.4018/978-1-59904-510-8.ch001

Chen S; Williams M-A, 'Learning Personalized Ontologies from Text', in Personalized Information Retrieval and Access, IGI Global, http://dx.doi.org/10.4018/9781599045108.ch001

Edited Books

williams M-A, (ed.), 2019, RoboCup 2019: Robot World Cup XXIII, http://dx.doi.org/10.1007/978-3-030-35699-6

Beetz M; Johnston B; Williams MA, 2014, Preface

Ge SS; Khatib O; Cabibihan J-J; Simmons R; Williams M-A, (eds.), 2012, Social Robotics, Springer Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-34103-8

Bi Y; Williams MA, 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Williams M-A; Rott H, (ed.), 2001, Frontiers in Belief Revision, Springer Netherlands, http://dx.doi.org/10.1007/978-94-015-9817-0

Alferes JJ; Pereira LM; Orlowska E, (eds.), 1996, Logics in Artificial Intelligence, Springer Berlin Heidelberg, http://dx.doi.org/10.1007/3-540-61630-6

Journal articles

Herse S; Vitale J; Williams MA, 2024, 'Simulation Evidence of Trust Calibration: Using POMDP with Signal Detection Theory to Adapt Agent Features for Optimised Task Outcome During Human-Agent Collaboration', International Journal of Social Robotics, 16, pp. 1381 - 1403, http://dx.doi.org/10.1007/s12369-023-01041-w

Peppas P; Williams MA; Antoniou G, 2024, 'Revision operators with compact representations', Artificial Intelligence, 329, pp. 104080, http://dx.doi.org/10.1016/j.artint.2024.104080

Herse S; Vitale J; Williams M-A, 2022, 'Using Agent Features to Influence User Trust, Decision Making and Task Outcome during Human-Agent Collaboration', International Journal of Human-Computer Interaction, 39, pp. 1740 - 1761, http://dx.doi.org/10.1080/10447318.2022.2150691

Raza SA; Vitale J; Tonkin M; Johnston B; Billingsley R; Herse S; Williams MA, 2022, 'An in-the-wild study to find type of questions people ask to a social robot providing question-answering service', Intelligent Service Robotics, 15, pp. 411 - 426, http://dx.doi.org/10.1007/s11370-022-00411-z

Ojha S; Vitale J; Williams MA, 2021, 'Computational Emotion Models: A Thematic Review', International Journal of Social Robotics, 13, pp. 1253 - 1279, http://dx.doi.org/10.1007/s12369-020-00713-1

Anshar M; Williams MA, 2021, 'Simplified Pain Matrix Method for Artificial Pain Activation Embedded into Robot Framework', International Journal of Social Robotics, 13, pp. 187 - 195, http://dx.doi.org/10.1007/s12369-020-00632-1

Aravanis T; Peppas P; Williams MA, 2021, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence, 89, pp. 7 - 28, http://dx.doi.org/10.1007/s10472-019-09625-x

Inamura T; Pandey AK; Kumar S; Williams MA; Cabibihan JJ; Behera L, 2020, 'Special Issue on Robot and Human Interactive Communication 2020', Advanced Robotics, 34, pp. 1279, http://dx.doi.org/10.1080/01691864.2020.1831718

Raza SA; Williams MA, 2020, 'Human feedback as action assignment in interactive reinforcement learning', ACM Transactions on Autonomous and Adaptive Systems, 14, http://dx.doi.org/10.1145/3404197

Aravanis T; Peppas P; Williams MA, 2020, 'A study of possible-worlds semantics of relevance-sensitive belief revision', Journal of Logic and Computation, 30, pp. 1125 - 1142, http://dx.doi.org/10.1093/LOGCOM/EXAA029

Aravanis TI; Peppas P; Williams MA, 2020, 'Incompatibilities between iterated and relevance-sensitive belief revision', Journal of Artificial Intelligence Research, 69, pp. 85 - 108, http://dx.doi.org/10.1613/jair.1.11871

Inamura T; Pandey AK; Kumar S; Williams MA; Cabibihan JJ; Behera L, 2020, 'Special Issue on Robot and Human Interactive Communication 2020 (Part II)', Advanced Robotics, 34, pp. 1545, http://dx.doi.org/10.1080/01691864.2020.1854936

Abidi S; Piccardi M; Tsang IW; Williams MA, 2019, 'Well-M³N: A Maximum-Margin Approach to Unsupervised Structured Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence, 3, pp. 427 - 439, http://dx.doi.org/10.1109/TETCI.2018.2876524

Aravanis TI; Peppas P; Williams MA, 2019, 'Full characterization of parikh's relevance-sensitive axiom for belief revision', Journal of Artificial Intelligence Research, 66, pp. 765 - 792, http://dx.doi.org/10.1613/jair.1.11838

van Rijmenam M; Erekhinskaya T; Schweitzer J; Williams MA, 2019, 'Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty', Long Range Planning, 52, http://dx.doi.org/10.1016/j.lrp.2018.05.007

Williams MA, 2019, 'The Artificial Intelligence race: Will Australia lead or lose?', Journal and Proceedings of the Royal Society of New South Wales, 152, pp. 105 - 114

Ojha S; Williams MA; Johnston B, 2018, 'The Essence of Ethical Reasoning in Robot-Emotion Processing', International Journal of Social Robotics, 10, pp. 211 - 223, http://dx.doi.org/10.1007/s12369-017-0459-y

Anshar M; Williams MA, 2018, 'Evolving robot empathy towards humans with motor disabilities through artificial pain generation', AIMS Neuroscience, 5, pp. 56 - 73, http://dx.doi.org/10.3934/NEUROSCIENCE.2018.1.56

Van Rijmenam M; Schweitzer J; Williams M-A, 2017, 'A Distributed Future:How Blockchain Affects Strategic Management, Organisation Design & Governance', Academy of Management Proceedings, 2017, pp. 14807 - 14807, http://dx.doi.org/10.5465/ambpp.2017.14807abstract

Anshar M; Williams MA, 2016, 'Evolving synthetic pain into an adaptive self-awareness framework for robots', Biologically Inspired Cognitive Architectures, 16, pp. 8 - 18, http://dx.doi.org/10.1016/j.bica.2015.10.002

Peppas P; Williams MA; Chopra S; Foo N, 2015, 'Relevance in belief revision', Artificial Intelligence, 229, pp. 126 - 138, http://dx.doi.org/10.1016/j.artint.2015.08.007

Vitale J; Williams MA; Johnston B; Boccignone G, 2014, 'Affective facial expression processing via simulation: A probabilistic model', Biologically Inspired Cognitive Architectures, 10, pp. 30 - 41, http://dx.doi.org/10.1016/j.bica.2014.11.005

Cabibihan JJ; Williams MA; Simmons R, 2014, 'When Robots Engage Humans', International Journal of Social Robotics, 6, pp. 311 - 313, http://dx.doi.org/10.1007/s12369-014-0249-8

Peppas P; Koutras CD; Williams MA, 2012, 'Maps in multiple belief change', ACM Transactions on Computational Logic, 13, http://dx.doi.org/10.1145/2362355.2362358

Goebel R; Williams MA, 2011, 'The expansion continues: Stitching together the breadth of disciplines impinging on Artificial Intelligence', Artificial Intelligence, 175, pp. 929, http://dx.doi.org/10.1016/j.artint.2011.01.004

Goebel R; Williams MA, 2010, 'The expanding breadth of artificial intelligence research', Artificial Intelligence, 174, pp. 133, http://dx.doi.org/10.1016/j.artint.2009.12.001

Benferhat S; Dubois D; Prade H; Williams MA, 2010, 'A framework for iterated belief revision using possibilistic counterparts to jeffrey's rule', Fundamenta Informaticae, 99, pp. 147 - 168, http://dx.doi.org/10.3233/FI-2010-243

Williams MA; McCarthy J; Gärdenfors P; Stanton C; Karol A, 2009, 'A grounding framework', Autonomous Agents and Multi-Agent Systems, 19, pp. 272 - 296, http://dx.doi.org/10.1007/s10458-009-9082-0

Chen X; Liu W; Williams MA, 2009, 'Introduction: Practical cognitive agents and robots', Autonomous Agents and Multi-Agent Systems, 19, pp. 245 - 247, http://dx.doi.org/10.1007/s10458-009-9077-x

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