The first day of the conference comprises a range of workshops, to be held on Monday 12th 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 are four half-day workshops plus an all-day workshop (the Tenth UK CBR Workshop). Delegates are free to choose any combination of morning and afternoon sessions to attend. The provisional programme for each workshop is shown below.
Multiagent Systems Chair: Anoop Srivastava, Watumull Institute of Electronic Engineering and Computer Technology, India
With rapid changes taking place in Internet, World-Wide Web, networking, communication, and information technology, the importance of multiagent systems is increasing. Multiagent systems have become one of the most exciting research areas in AI, and the last five years has seen a growing interest in their application in diverse domains that include manufacturing, service sector, electronic commerce, and health care. This workshop will allow specialists to report on their findings and will promote discussion on the benefits and drawbacks that multiagent systems bring. The workshop will also look forward towards future applications and research topics that need to be tackled.
Provisional Programme
Language requirements, design, and implementation of multiagent systems
Anoop Srivastava (Watumull Institute)
Implementing a multiagent system using the blackboard architecture
Adrian Hopgood and Lars Nolle (Nottingham Trent University)
Towards high performance image registration using intelligent agents
Roger Tait (Nottingham Trent University)
Simulated e-marketplaces: design and implementation
Maria Fasli (University of Essex)
Using the Jade semantic framework to build a community of social care agents
Martin Beer (Sheffield Hallam University)
Reaching out with Intelligent Robotics Chair: Dr Tony Hirst, The Open University, UK
There are many misconceptions in the public mind about the capabilities of artificial intelligence in general and intelligent robots in particular. As intelligent machinery becomes embedded in everyday lives and working practices, there is an increasing need to explain the potential and limits of these new technologies in order to alleviate people's concerns about them. The funding councils are also placing more and more emphasis on engaging the public in the formulation of science policy and the promotion of the UK research base. This workshop will review the latest developments in intelligent robotics and recent public engagement activities run by contemporary robotics and AI researchers. It is intended to promote discussion of the issues arising from AI and robotics technologies that are likely to be of concern to the public over the coming years.
Provisional Programme
Servicing thousands of users: the Bradford robotic telescope
John Baruch (University of Bradford)
The design of reliable intelligent robotics in science centres
Alan Winfield (University of West of England)
An overview of the BCS / UKCRC Grand Challenge 5 "The architecture of
mind and brain"
Murray Shanahan (Imperial College, London)
Public perceptions of domestic robots: examples from the Cogniron project
Mick Walters (University of Hertfordshire)
Massively scaleable simulated robots: Sodarace
Peter McOwan (Queen Mary College, London)
The VRDK robotics graphical programming environment
Alexander Brandle (Microsoft)
Issues in the design of intelligent internet robots
Gerard McKee (University of Reading)
Intelligent Systems in Accounting, Finance and Management Chair: Dr Bob Berry, University of Nottingham, UK
The idea that intelligent systems have 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 intelligent systems researchers and practitioners with managers and management researchers is very limited. Examination of the intelligent systems 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 intelligent systems are not relevant; they simply don't feature. The workshop aims to identify the important management problems and the intelligent systems approaches most likely to add value. The aim is to create a research agenda which will lead to the integration of intelligent systems into the practice of management and management research.
Provisional Programme
Integrating spreadsheets and genetic algorithms: an investment appraisal application
Bob Berry (University of Nottingham )
Opportunities for AI development in the accounting domain: the case for auditing
Amelia Baldwin (University of Alabama)
Pattern recognition and financial time series
David Elliman (University of Nottingham)
Strategic diagnostics and managerial judgement: a hybrid knowledge-based approach
Luiz Moutinho (University of Glasgow), Paulo Rita (ISCTE Business School, Lisbon),
and Shuliang Li (University of Westminster)
Integrating intelligent systems into marketing: market segmentation, can IS
make a difference?
Sally McKechnie (University of Nottingham)
Artificial Intelligence in Education Chair: Dr Maria Fasli, University of Essex, UK
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.
Provisional Programme
Integrating AI techniques into the computing curriculum
John Kerins (University of Chester)
An integrated approach to learning artificial intelligence
Colin Price (University of Worcester)
Sleeping with the enemy: infiltrating AI into the broader curriculum
Eric Atwell (Leeds University)
Discussion: AI in the curriculum
Using GIPO to support learning in knowledge acquisition and automated planning
Lee McCluskey (University of Huddersfield)
Multi-Agent systems and the wider artificial intelligence curriculum
Martin Beer (Sheffield Hallam University)
An intelligent interactive online tutor for computer languages
Kate Taylor (University of Cambridge)
Tenth UK Case-Based Reasoning Workshop
Chair: Dr. Miltos Petridis, University of Greenwich, UK
Provisional Programme
Using early-stopping to avoid overfitting in wrapper-based feature selection
employing stochastic search
John Loughrey and Padraig Cunningham (Trinity College Dublin)
Fast case retrieval nets for textual CBR
Sutanu Chakraborti, Nirmalie Wiratunga, Robert Lothian and Stuart Watt (Robert
Gordon University)
Assessing case base quality
Rahul Premraj and Martin Shepperd (University of Bournemouth / Brunel University)
Invited talk: case-based explanation
Padraig Cunningham (Trinity College Dublin)
A case-based reasoning approach to recognition primed decision making in a
military decision support system
Ying Zhang, Panos Louvieris, Maria Petrou (University of Surrey / Imperial College,
London)
jCOLIBRI 0.5 in a nutshell: a software tool for designing CBR systems
Juan A. Recio, Antonio Sánchez, Belén Díaz-Agudo, and Pedro
González-Calero (Universidad Complutense de Madrid)
Using product visualization for preference elicitation in case-based recommenders.
Edwin Costello, John Doody, Lorraine McGinty and Barry Smyth (University College
Dublin)
Cumulative query revision in CBR recommender systems
John Doody, Edwin Costello, Lorraine McGinty and Barry Smyth (University College
Dublin)
On the role of default preferences in compromise-driven retrieval
David McSherry (University of Ulster)
UK CBR community discussion