Seminar

Abstract: Modern, complex systems are likely to execute in open environments (e.g., applications running over the Internet of Things), where changes are frequent and have the potential to cause significant negative consequences for the application. A better understanding of the dynamics in the environment will enable applications to better automate planning for change and remain … Siobhán Clarke (Trinity College Dublin): Exploring Autonomous Behaviour in Open, Complex Systems (School Seminar)

Abstract: The previous two decades have seen significant advances in optimisation techniques that are able to quickly find optimal or near-optimal solutions to problem instances in many combinatorial optimisation domains. Despite many successful applications of both these approaches, some common weaknesses exist in that if the nature of the problems to be solved changes over … Emma Hart (Edinburgh Napier): Lifelong Learning in Optimisation (School Seminar)

Abstract: This talk will consider the relationship between visualization and taxonomy from two perspectives. Firstly, how visualization can aid understanding the process of taxonomy, specifically biological taxonomy and the visualization challenges this poses. Secondly, the role of taxonomy in understanding and making sense of the growing field of visualization will be discussed and the challenges … Jessie Kennedy (Edinburgh Napier): Visualization and Taxonomy (School Seminar)

Abstract: We elaborate the complexity of the Quantified Constraint Satisfaction Problem, QCSP(A), where A is a finite idempotent algebra. Such a problem is either in NP or is co-NP-hard, and the borderline is given precisely according to whether A enjoys the polynomially-generated powers (PGP) property. This reduces the complexity classification problem for QCSPs to that … Barnaby Martin (Durham): The Complexity of Quantified Constraints (School Seminar)

Please note that this seminar confirmed for Purdie C on Wednesday October 4th between 14:00 and 15:00 Title: New file metaphors for a networked world

Abstract: Natural language processing (NLP) is a multidisciplinary field closely related to linguistics, machine learning and artificial intelligence. It comprises a number of different subfields dealing with different kinds of analysis and/or generation of natural language texts. All these methods and approaches need some kind of evaluation, i.e. comparison between the obtained result with a … Maja Popović (Humboldt-Universität zu Berlin): (Dis)similarity Metrics for Texts (School Seminar)