Provisional Programme (times & details are subject to change)

Sunday 30th June 2019

Speakers and attendees arrive
12:30 Lunch
14:00 Tutorial/Summer School - parallel sessions 1 & 2
  1. Ivan Bratko, University of Ljubljana, “Qualitative Modelling and Learning”
  2. Adam Sanborn, University of Warwick, “Representing Categories in the Human Mind"
16:00 Tea/Coffee
16:15 Tutorial/Summer School - parallel sessions 3 & 4
  1. Luc de Raedt, KU Leuven, “Probabilistic Programming and Statistical Relational AI”
  2. Ulrike Hahn, Birkbeck, University of London, “Argumentation: A brief overview of Psychological Research and the Framework(s) that motivate it”
18:30 Dinner

Monday 1st July 2019

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

Breakfast for residential delegates

Session  5 – Social Cooperation – Chair: Denis Mareschal
Max Kleiman-Weiner, Harvard University, USA – “Reverse Engineering Human Cooperation”
Patrick Healey, Queen Mary, University of London, UK - “Social Health: Mapping the quality of social interactions in the wild”
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
Tea/Coffee & Poster Session
Francesca Toni, Imperial College London, UK – “Dialectic explanations”
Closing Remarks
Social outing – walk to Windsor Castle and back
Return from walk and collect luggage