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WorkshopsThe first day of the conference comprises a range of workshops, to be held on Tuesday 15th December. Delegates will find these events to be especially valuable where there is a current need to consider the introduction of new AI technologies into their own organisations. There will be four half-day workshops plus an all-day workshop (the Fourteenth UK CBR Workshop). Delegates are free to choose any combination of morning and afternoon sessions to attend. The programme of workshops is shown below. Note that the morning session starts at 11 a.m. (later than in some previous years) to reduce the need for delegates to stay in Cambridge on the previous night. There is a lunch break from 12.30-13.15 and there are refreshment breaks from 14.45-15.15 and from 16.45-17.00. Workshops organiser: Prof Adrian Hopgood, De Montfort University
Stream 1 - Morning (11.00-12.30 and 13.15-14.45 Music Room)Artificial Intelligence in Games
Chair: Dr Mario Gongora, De Montfort University The quality and complexity of computer games has reached a level in which artificial intelligence is an essential part of the technologies used to make the games realistic and interesting. The role of computational intelligence for game implementation and game playing is complementing the use of classical techniques to model and simulate the game environment and the non-player characters that inhabit these simulated environments. In this workshop, we will discuss the underlying role of AI in games and visit some of the latest techniques and trends in computational intelligence to make games realistic and challenging. The workshop aims to present a structured picture of these trends, by which the participants will gain an understanding of AI in games, as well as encouraging a discussion on the practical and applicability aspects. Part 1 (Classical AI in Games):
Stream 1 - Afternoon (15.15-16.45 and 17.00-18.30 Music Room)Computational Optimisation Chair: Dr Lars Nolle, Nottingham Trent University In the modern world, there is an ever-increasing demand for systems that can learn and adapt to a changing environment. This intelligent behaviour can be achieved by tuning internal models of a system so that they fit the observations better. In other words, intelligent systems learn and adapt by searching for optimal model parameters. This workshop will provide insights into computational search and optimisation algorithms and their applications. It will start by looking at different types of optimisation problems and discuss their complexity. The workshop will then visit traditional algorithms, modern meta-heuristics, and their applications to real-world problems. The goal of the workshop is to make scientists and engineers aware of the opportunities offered by computational optimisation methods for solving real-world problems.
Stream 2 - Morning (11.00-12.30 and 13.15-14.45 Upper Hall)Artificial Intelligence in Education Chair: Dr Colin Price, University of Worcester Artificial Intelligence (AI) has been incorporated into the curriculum of Computer Science degree schemes for a number of years now at both undergraduate and postgraduate levels. Despite the fact that the underlying research areas have developed over the years, teaching artificial intelligence and related topics presents a number of problems such as a heavy influence of one's own research expertise and specialization in deciding the content of such courses and a lack of standard methodologies and tools that practitioners can employ for teaching topics in this area. The aim of this workshop is to bring together researchers and practitioners that are interested in the teaching aspect of the field. The workshop will address issues specific to teaching AI including innovative approaches to learning and teaching AI, approaches for improving the students' learning experience, the integration of theory and practice and tools for supporting teaching and learning. The workshop will be a mixture of presentations and open discussions of the attendees.
Stream 2 - Afternoon (15.15-16.45 and 17.00-18.30 Upper Hall)Artificial Intelligence in Accounting, Finance and Management Chair: Professor Bob Berry, University of Nottingham The idea that artificial intelligence (AI) has the potential to support the activities of managers in organisations has been around for a long time, and at first sight there is considerable evidence of that potential being realised. However, closer examination suggests that the engagement of AI researchers and practitioners with managers and management researchers is very limited. Examination of the AI literature suggests that many papers demonstrate the ability of a technique to handle a problem without considering either the importance of the problem or the issue of whether the technique adds value in any sense. Examination of the management journals and discussion with managers strongly suggests that AI is not relevant; it simply doesn't feature. The workshop aims to identify the important management problems and the AI approaches most likely to add value. The aim is to create a research agenda which will lead to the integration of AI into the practice of management and management research.
Provisional programme:
Stream 3 - All Day (11.00-12.30, 13.15-14.45, 15.15-16.45 and 17.00-18.30 Peterhouse Lecture Theatre)Fourteenth UK Case-Based Reasoning Workshop Chair: Dr Miltos Petridis, University of Greenwich, UK
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