Friday 26th April 2019 – Huxley Lecture Theatre 308, Imperial College London

 Time  Event

09:30 – 09:45

Welcome & Introduction
Prof Nick Jennings, Vice-Provost (Research and Enterprise), Imperial College London

09:45 – 10:20

Professor Stephen Muggleton, Dept. of Computing, Imperial College London, "What do we need from Third Wave Artificial Intelligence?"

10:20 – 11:00

Professor Francesca Toni, Dept. of Computing, Imperial College London, "Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents"

11:00 – 11:20

Coffee break / poster session (Room 217/218)

11:20 – 12:00

Professor Ute Schmid, Cognitive System Group, University of Bamberg, "Cooperative Learning with Mutual Explanations"

12:00 – 12:40

Professor Nick Chater, Warwick Business School,  University of Warwick, "Virtual bargaining: A microfoundation for the theory of social interaction"

12:40 – 13:30

Lunch / poster session (Room 217/218)

13:30 – 14:00

Professor Murray Shanahan, Google DeepMind, "Reconciling Deep Learning with Symbolic AI"

14:00 – 14:40

Professor Kristian Kersting, Dept. of Computer Science, Technische Universität Darmstadt, "Deep Machines That Know When They Do not Know"
 

(Long presentations)

14:40 – 15:00

Jingqing Zhang and Piyawat Lertvittayakumjorn and Yike Guo, Department of Computing, Imperial College London, "Integrating Semantic Knowledge to Tackle Zero-shot Text Classification"

15:00 – 15:20

Mark Law, Alessandra Russo and Krysia Broda, 
Department of Computing, Imperial College London, "Inductive Learning of Answer Set Programs"

15:20 – 15:40

Coffee break / poster session  (Room 217/218)

15:40 – 16:00

Michael Zbyszynski, Atau Tanaka and Balandino Di Donato, Goldsmiths, University of London, "Real-time, interactive machine learning in musical performance"

16:00 – 16:20

Artur d’Avila Garcez, Department of Computer Science, City, University of London, "Neural-Symbolic Systems for Software Model Evolution, Run-Time Monitoring and Property Learning"

(Short presentations)

16:20 – 16:30

Lewis Hammond and Vaishak Belle
The University of Edinburgh, "Deep Tractable Probabilistic Models for Moral Responsibility"

16:30 – 16:40

Céline Hocquette and Stephen Muggleton, 
Department of Computing, Imperial College London, "Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?"

16:40 – 16:50 Piyawat Lertvittayakumjorn and Francesca Toni,
Department of Computing, Imperial College London, "Interpreting CNNs for Text Classification"

16:50 – 17:00 Stassa Patsantzis, Department of Computing, Imperial College London, "Metasplain - Assigning meaningful names to invented predicates"

17:00 – 17:10

Discussion/Closing Remarks