Event

SICSA DVF Seminar – Dr André G. Pereira

We had our first School seminar of the semester today. The speaker was André G. Pereira visiting Scotland on a SICSA DVF Fellowship. André is working on AI Planning problems, an area that is closely related to the work of our own Constraint Programming research group.

Title: Understanding Neuro-Symbolic Planning

Abstract: In this seminar, we present the area of neuro-symbolic planning, introducing fundamental concepts and applications. We focus on presenting recent research on the problem of learning heuristic functions with machine learning techniques. We discuss the distinctions and particularities between the “model-based” and “model-free” approaches, and the different methods to address the problem. Then, we focus on explaining the behavior of “model-free” approaches. We discuss the generation of the training set, and present sampling algorithms and techniques to improve the quality of the training set. We also discuss how the distribution of samples over the state space of a task, together with the quality of its estimators, are directly related to the quality of the learned heuristic function. Finally, we empirically detail which factors have the greatest impact on the quality of the learned heuristic function.

Biography: Dr. André G. Pereira is a professor at the Federal University of Rio Grande do Sul, Brazil. His research aims to develop and explain the behavior of intelligent systems for sequential decision-making problems. Dr. Pereira has authored several papers on top-tier venues such as IJCAI, AAAI, and ICAPS. These papers contribute towards explaining the behavior of heuristic search algorithms, how to use combinatorial optimization-based reasoning to solve planning tasks, and how to use machine learning techniques to produce heuristic functions. Dr. Pereira is a program committee member of IJCAI and AAAI. His doctoral dissertation was awarded second place in the national Doctoral Dissertation Contest on Computer Science (2017), and first place in the national Doctoral Dissertation Contest on Artificial Intelligence (2018). Dr. Pereira advised three awarded students on national events, including first place and finalist in the Scientific Initiation Work Contest (2018, 2022), and finalist in the Master Dissertation Contest on Artificial Intelligence (2020).

Workshop on Teaching and Assessing Technology Ethics, Tuesday 6 Dec

If you are currently teaching or interested in teaching anything to do with ethics and technology, then please consider attending a half-day workshop that Dharini Balasubramaniam and Tristan Henderson are holding in JC 1.33 on Tuesday 6 Dec.

The aim is to discuss challenges, share syllabi and best practices, and ideally to build a shared repository of teaching resources.

This event is kindly sponsored by the SICSA Education theme.

Teaching and Assessing Technology Ethics

November Graduation

The School of Computer Science will host a small graduation reception in the JC coffee area on Tuesday 29th November between 14:00-16:00.

Graduating students and their guests are invited to come along and celebrate with a glass of bubbly.

Computer Science degrees will be conferred in an afternoon ceremony in the Younger Hall. Family and friends who can’t make it on the day can watch a live broadcast of graduation.

Research Away Day October 2022

Thanks to everyone who attended the school Research away day. The day was very informative and lots of ideas were created.

It was lovely to meet our Ukrainian Visiting Academics Maryna Novozhylova and Olga Chub.

We would also like to thank our guests, Ricky Shek from careers, Kirsty Ross from RIS,  Adeel Shafi and Jayshree Johnstone from business development.