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Robust Intelligence: Rational Decision-Making under Risk and Uncertainty

Funding: 2016: $120,000
2017: $140,000
2018: $120,000

Project Member(s): Williams, M., Peppas, P.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2016

Summary: This project seeks to bridge the gap between theory and practice with an innovative framework for rational decision-making under risk and uncertainty. Intelligent agents exercise profound and growing impact in business and society. However, significant problems arise in intelligent agent deployment as their theoretical underpinnings do not ensure rational decision-making in complex real-world settings. The project aims to open the door to transformational technologies that may drive new entrepreneurial opportunities in agent-based global services.

Publications:

Aravanis, T, Peppas, P & Williams, MA 2019, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence.
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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.
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Gardenfors, P, Williams, M-A, Johnston, B, Billingsley, R, Vitale, J, Peppas, P & Clark, J 2018, 'Event boards as tools for holistic AI', International Workshop on Artificial Intelligence and Cognition 2018, Palermo, Italy.
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Gudi, SLKC, Ojha, S, Sidra, Johnston, B & Williams, MA 2017, 'A proactive robot tutor based on emotional intelligence', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Springer, Korea, pp. 113-120.
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Madhisetty, S & Williams, MA 2019, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, pp. 127-140.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2019, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, pp. 273-282.
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Peppas, P & Williams, M 2018, 'Parametrised Difference Revision', International Conference on Principles of Knowledge Representation and Reasoning, Tempe, USA.
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Agrawal, S & Williams, MA 2017, 'Robot authority and human obedience: A study of human behaviour using a robot security guard', ACM/IEEE International Conference on Human-Robot Interaction, 2017 ACM/IEEE International Conference on Human-Robot Interaction, Vienna, Austria, pp. 57-58.
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Aravanis, T, Peppas, P & Williams, MA 2017, 'Epistemic-entrenchment characterization of Parikh's axiom', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 772-778.
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Billingsley, R, Billingsley, J, Gärdenfors, P, Peppas, P, Prade, H, Skillicorn, D & Williams, MA 2017, 'The altruistic robot: Do what i want, not just what i say', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Scalable Uncertainty Management, Granada, Spain, pp. 149-162.
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Tonkin, M, Vitale, J, Ojha, S, Clark, J, Pfeiffer, S, Judge, W, Wang, X & Williams, M 2017, 'Embodiment, Privacy and Social Robots: May I Remember You?', Social Robotics: 9th International Conference, ICSR 2017, International Conference on Social Robotics, Springer International Publishing, Tsukuba, Japan, pp. 506-515.
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van Rijmenam, M, Schweitzer, J & Williams, MA 2017, 'A Distributed Future:How Blockchain Affects Strategic Management, Organisation Design & Governance', At the Interface, Academy of Management 2017 Annual Meeting, Academy of Management, Atlanta, Georia.
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Surden, H & Williams, M-A 2016, 'How Self-Driving Cars Work'.

Surden, H & Williams, M-A 2016, 'Technological Opacity, Predictability, and Self-Driving Cars', Cardozo Law Review, vol. 38, pp. 1-52.
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Peppas, P & Williams, MA 2016, 'Kinetic consistency and relevance in belief revision', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Logics in Artificial Intelligence, European Conference, Springer, Larnaca, Cyprus, pp. 401-414.
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Raza, SA, Johnston, B & Williams, M-A 2016, 'Reward from Demonstration in Interactive Reinforcement Learning', The Twenty-Ninth International Flairs Conference.
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Romat, H, Williams, M-A, Wang, X, Johnston, B, Bard, H & ACM 2016, 'Natural Human-Robot Interaction Using Social Cues', Proceedings of the 11th ACM/IEEE International Conference on Human Robot Interaction, ACM/IEEE International Conference on Human Robot Interaction (HRI), IEEE, Christchurch, New Zealand, pp. 503-504.
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Vitale, J, Williams, M-A & Johnston, B 2016, 'The face-space duality hypothesis: a computational model', Proceedings of the 38th Annual Conference of the Cognitive Science Society, Annual Conference of the Cognitive Science Society, Cognitive Science Society, Philadelphia, pp. 514-519.
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Castro, JL, Trillas, E & Zurita, JM 1998, Non-monotonic fuzzy reasoning.
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FOR Codes: Adaptive Agents and Intelligent Robotics, Expanding Knowledge in the Information and Computing Sciences, Expanding Knowledge in Psychology and Cognitive Sciences