Programme
Provisional Programme
(times & details are subject to change)
Sunday 30th June 2019
| 12:00 |
Speakers and attendees arrive |
| 12:30 | Lunch |
| 14:00 | Tutorial/Summer School - parallel sessions
1 & 2
|
| 16:00 | Tea/Coffee |
| 16:15 | Tutorial/Summer School - parallel sessions
3 & 4
|
| 18:30 | Dinner |
Monday 1st July 2019
| 08:15 |
Breakfast for residential delegates |
| 08:45 | Welcome Stephen Muggleton |
| Session 1 Beneficial Artificial Intelligence and Social Modelling Chair: Stephen Muggleton | |
| 09:00 | Stuart Russell, University of California,
Berkeley, USA Beneficial
Artificial Intelligence |
| 09:45 | Nick Chater, University of Warwick, UK Virtual bargaining: A microfoundation for the theory of social interaction |
| 10:30 | Alan Bundy, University of Edinburgh, UK Modelling Repairs to Virtual Bargaining with Reformation |
| 11:15 | Tea/Coffee & Poster Session |
| 11:30 | Adam Sanborn, University of Warwick, UK Bayesian brains without probabilities |
| 12:15 | Ulrike Hahn, Birkbeck University of London, UK - Explanation for AI systems |
| 13:00 | Lunch |
| Session 2a Perception and Language Chair: Nick Chater | |
| 14:00 | Caroline Jay, University of Manchester, UK Using human vision to automate the interpretation of complex signal data" |
| 14:45 | Gabriella Vigliocco, University College London, UK - "There is more than Linguistic Information to Language" |
| 15:30 | Tea/Coffee & Poster Session |
| 15:45 | Panel Session: Funding Opportunities Chair: Stephen Muggleton |
| Rhys Perry, EPSRC Ali Anjomshoaa, Innovate UK Knowledge Transfer Network |
|
| Session 2b Perception and Language Chair: Nick Chater | |
| 16:30 | Mike C Frank, Stanford University, USA - "Variability and Consistency in Early Language Learning: The Wordbank Project" (presentation via Skype) |
| 17:15 | Martin Pickering, University of Edinburgh, UK - "Understanding dialogue: Language use and social interaction" |
| 18:00 | Session ends |
| 18:30 | Festschrift Dinner |
Tuesday 2nd July 2019
| 08:15 | Breakfast for residential delegates |
| Session 3 Representation and Learning Chair: Alan Bundy | |
| 09:00 | Stephen Muggleton, Imperial College London, UK Human-Machine Vision |
| 09:45 | Ute Schmid, University of Bamberg, Germany "Learning to Delete - Interactive Learning with Mutual Explanations to Get Rid of Digital Clutter |
| 10:30 | Mateja Jamnik, University of Cambridge, UK - "How to Re(represent) It?" |
| 11:15 | Tea/Coffee & Poster Session |
| 11:30 | Luc De Raedt, Katholieke Universiteit
Leuven, Belgium Inductive
Modelling for the Automation of Data Science |
| 12:15 | Denis Mareschal, Birkbeck, University of London, UK Fast and slow learning across development |
| 13:00 | Lunch |
| 14:00 | Kenneth Kwok, Agency for Science, Technology and Research (A*STAR), Singapore - "Cognitive Human-like Empathetic and Explainable Machine Learning (CHEEM): A human-centric AI research programme" |
| 14:45 | Short Presentations 1 Chair: Alan Bundy |
| Playgol:
learning programs through play, Andrew Cropper,
University of Oxford Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?, Celine Hocquette and Stephen Muggleton, Imperial College London PANDA: a framework for probabilistic reasoning with scientific uncertainty, Larisa N. Soldatova, Goldsmiths, University of London and Orhobor Oghenejokpeme, Joseph French, Ross D. King, University of Manchester Towards Providing Causal Explanations for the Predictions of a Deep Network, Adam White and Artur Garcez, City, University of London Teaching Explanations by Examples, Cesar Ferri, Jose Hernandez-Orallo, Universitat Politθcnica de Valθncia and Jan Arne Telle, University of Bergen Model Explanations under Calibration, Rishabh Jain and Pranava Madhyastha, Imperial College London VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions, Pranava Madhyastha, Josiah Wang and Lucia Specia, Imperial College London Machine Learning approach to Spam Filtering using Minimal Examples, Max Mellor and Alireza Tamaddoni-Nezhad, University of Surrey Entropy Mastermind: Learning from Humans about Intelligent Systems, Lara Bertram, University of Surrey, Eric Schulz, Harvard University, Matthias Hofer, Massachusetts Institute of Technology and Jonathan D. Nelson, University of Surrey |
|
| 15:30 | Tea/Coffee & Poster Session |
| Session 4 Tests and Games Chair: Ute Schmid | |
| 15:45 | Peter Millican, Oxford University, UK Turing and Human-Like Intelligence |
| 16:30 | Ivan Bratko, University of Ljubljana, Slovenia Predicting difficulty of problems for humans |
| 17:15 | Katya Tentori, University of Trento, Italy What can the conjunction fallacy tell us about human reasoning? |
| 19:00 | Dinner |
Wednesday 3rd July 2019
| 08:15 |
Breakfast for residential delegates |
| Session 5 Social Cooperation
Chair: Denis Mareschal |
|
| 09:00 |
Max Kleiman-Weiner, Harvard University, USA
Reverse
Engineering Human Cooperation |
| 09:45 |
Patrick Healey, Queen Mary, University of
London, UK - Social
Health: Mapping the quality of social interactions in
the wild |
| 10:30 |
Short Presentations 2 Chair: Denis
Mareschal |
| Local
experts: Coordination and the albatross of
domain-general HLC, Eugene Philalithis, Heriot-Watt
University Human-like Robot Motion Planning, Mohamed Hasan, Matthew Warburton, Mehmet Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams and Anthony Cohn, University of Leeds Towards high-bandwidth computer-human understanding: Cognitive chunking theory and micro-behavioural signals, Peter Cheng, University of Sussex Learning to generate personalised content based on human behaviour, Laurissa Tokarchuk, Carmen Ugarte and Vivek Warriar, Queen Mary, University of London Generating and Interpreting Referring Expressions with Vague Spatial Language Adam Richard-Bollans, University of Leeds Modelling Proactive Voice Assistants for Group Collaboration settings using Conversational Monitoring Leon Reicherts, Yvonne Rogers and Ethan Wood, University College London Understanding real-world scenes for human-like machine perception", Armin Mustafa and Adrian Hilton, University of Surrey. An Evolutionary Approach to the Training of Human-Like Computing systems, David Frost "Abstract Rule Learning with Neural Networks, Radha Manisha Kopparti and Tillman Weyde, City, University of London |
|
| 11:15 |
Tea/Coffee & Poster Session |
| 11:30 |
Francesca Toni, Imperial College London, UK
Dialectic explanations |
| 12:15 |
Closing Remarks |
| 12:30 |
Lunch |
| 13:30 |
Social outing walk to Windsor Castle and
back |
| 16:00 |
Return from walk and collect luggage |
| 16:15 |
Depart |
