A blackboard architecture for a hybrid CBR system for scientific software

This paper describes the use of a blackboard architecture for building a hybrid case based reasoning (CBR) system. The Smartfire fire field modelling package has been built using this architecture and includes a CBR component. It allows the integration into the system of qualitative spatial reasoning knowledge from domain experts. The system can be used for the automatic set-up of fire field models. This enables fire safety practitioners who are not expert in modelling techniques to use a fire modelling tool. The paper discusses the integrating powers of the architecture, which is based on a common knowledge representation comprising a metric diagram and place vocabulary and mechanisms for adaptation and conflict resolution built on the Blackboard.

'Tell me Your story applied': ethics in narrative research with young fathers

There has been a significant increase of interest in parents who are considered to be outside of normative discourses; specifically the 'moral panic' relating to an increase in the demography of teenage mothers in the UK (SEU, 1999, 2003; Swann et al., 2003). Recently research has turned to the experiences of parenting from the father's perspective (Daniel and Taylor, 1999, 2001) although there remains a significant gap focusing on the experiences of young fathers. It is argued by Swann et al. (2003) that young fathers are a difficult group to access and this has limited the amount and type of studies conducted with many studies on young parents looking at the role of the father through the eyes of the mother. This contribution focuses on the use of narrative interviews with a small group of young, vulnerable, socially excluded fathers who are users of the statutory social services in the UK. The article looks specifically at the ethics and practical challenges of working with this group and offers insights into the use of the narrative method and the ethical dilemmas resulting from it.

Artificial intelligence and criminal evidence: A few topics

Abstract not available

Guest editorial. [Computers and Artificial Intelligence. 1998. Vol. 17, No. 2-3]

Editorial

Research in statistical education — planning of an international survey

As announced in the November 2000 issue of MathStats&OR [1], one of the projects supported by the Maths, Stats & OR Network funds is an international survey of research into pedagogic issues in statistics and OR. I am taking the lead on this and report here on the progress that has been made during the first year. A paper giving some background to the project and describing initial thinking on how it might be implemented was presented at the 53rd session of the International Statistical Institute in Seoul, Korea, in August 2001 in a session on The future of statistics education research [2]. It sounded easy. I considered that I was something of an expert on surveys having lectured on the topic for many years and having helped students and others who were doing surveys, particularly with the design of their questionnaires. Surely all I had to do was to draft a few questions, send them electronically to colleagues in statistical education who would be only to happy to respond, and summarise their responses? I should have learnt from my experience of advising all those students who thought that doing a survey was easy and to whom I had to explain that their ideas were too ambitious. There are several inter-related stages in survey research and it is important to think about these before rushing into the collection of data. In the case of the survey in question, this planning stage revealed several challenges. Surveys are usually done for a purpose so even before planning how to do them, it is advisable to think about the final product and the dissemination of results. This is the route I followed.