Involving users in expert system development

The ultimate criterion of success for interactive expert systems is that they will be used, and used to effect, by individuals other than the system developers. A key ingredient of success in most systems is involving users in the specification and development of systems as they are being built. However, until recently, system designers have paid little attention to ascertaining user needs and to developing systems with corresponding functionality and appropriate interfaces to match those requirements. Although the situation is beginning to change, many developers do not know how to go about involving users, or else tackle the problem in an inadequate way. This paper discusses the need for user involvement and considers why many developers are still not involving users in an optimal way. It looks at the different ways in which users can be involved in the development process and describes how to select appropriate techniques and methods for studying users. Finally, it discusses some of the problems inherent in involving users in expert system development, and recommends an approach which incorporates both ethnographic analysis and formal user testing.

Probiotics: their potential to impact human health

Probiotics—live microorganisms that when administered in adequate amounts confer a health benefit on the host—have been studied for both human and animal applications, and worldwide research on this topic has accelerated in recent years. This paper reviews the literature on probiotics, describes how probiotics work in human ecosystems, and outlines the impact of probiotics on human health and disease. The paper also addresses safety issues of probiotic use, suggests future developments in the field of probiotics, and provides research and policy recommendations. Product considerations and potential future developments regarding probiotics also are discussed. The authors conclude that controlled human studies have revealed a diverse range of health benefits from consumption of probiotics, due largely to their impact on immune function or on microbes colonizing the body. Additional, well-designed and properly controlled human and mechanistic studies with probiotics will advance the essential understanding of active principles, mechanisms of action, and degree of effects that can be realized by specific consumer groups. Recommendations include establishment of a standard of identity for the term “probiotic,” adoption of third-party verification of label claims, use of probiotics selectively in clinical conditions, and use of science-based assessment of the benefits and risks of genetically engineered probiotic microbes.

A kernel-based two-class classifier for imbalanced data sets

Many kernel classifier construction algorithms adopt classification accuracy as performance metrics in model evaluation. Moreover, equal weighting is often applied to each data sample in parameter estimation. These modeling practices often become problematic if the data sets are imbalanced. We present a kernel classifier construction algorithm using orthogonal forward selection (OFS) in order to optimize the model generalization for imbalanced two-class data sets. This kernel classifier identification algorithm is based on a new regularized orthogonal weighted least squares (ROWLS) estimator and the model selection criterion of maximal leave-one-out area under curve (LOO-AUC) of the receiver operating characteristics (ROCs). It is shown that, owing to the orthogonalization procedure, the LOO-AUC can be calculated via an analytic formula based on the new regularized orthogonal weighted least squares parameter estimator, without actually splitting the estimation data set. The proposed algorithm can achieve minimal computational expense via a set of forward recursive updating formula in searching model terms with maximal incremental LOO-AUC value. Numerical examples are used to demonstrate the efficacy of the algorithm.

A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition

This paper introduces a new neurofuzzy model construction and parameter estimation algorithm from observed finite data sets, based on a Takagi and Sugeno (T-S) inference mechanism and a new extended Gram-Schmidt orthogonal decomposition algorithm, for the modeling of a priori unknown dynamical systems in the form of a set of fuzzy rules. The first contribution of the paper is the introduction of a one to one mapping between a fuzzy rule-base and a model matrix feature subspace using the T-S inference mechanism. This link enables the numerical properties associated with a rule-based matrix subspace, the relationships amongst these matrix subspaces, and the correlation between the output vector and a rule-base matrix subspace, to be investigated and extracted as rule-based knowledge to enhance model transparency. The matrix subspace spanned by a fuzzy rule is initially derived as the input regression matrix multiplied by a weighting matrix that consists of the corresponding fuzzy membership functions over the training data set. Model transparency is explored by the derivation of an equivalence between an A-optimality experimental design criterion of the weighting matrix and the average model output sensitivity to the fuzzy rule, so that rule-bases can be effectively measured by their identifiability via the A-optimality experimental design criterion. The A-optimality experimental design criterion of the weighting matrices of fuzzy rules is used to construct an initial model rule-base. An extended Gram-Schmidt algorithm is then developed to estimate the parameter vector for each rule. This new algorithm decomposes the model rule-bases via an orthogonal subspace decomposition approach, so as to enhance model transparency with the capability of interpreting the derived rule-base energy level. This new approach is computationally simpler than the conventional Gram-Schmidt algorithm for resolving high dimensional regression problems, whereby it is computationally desirable to decompose complex models into a few submodels rather than a single model with large number of input variables and the associated curse of dimensionality problem. Numerical examples are included to demonstrate the effectiveness of the proposed new algorithm.

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems

This contribution proposes a powerful technique for two-class imbalanced classification problems by combining the synthetic minority over-sampling technique (SMOTE) and the particle swarm optimisation (PSO) aided radial basis function (RBF) classifier. In order to enhance the significance of the small and specific region belonging to the positive class in the decision region, the SMOTE is applied to generate synthetic instances for the positive class to balance the training data set. Based on the over-sampled training data, the RBF classifier is constructed by applying the orthogonal forward selection procedure, in which the classifier's structure and the parameters of RBF kernels are determined using a PSO algorithm based on the criterion of minimising the leave-one-out misclassification rate. The experimental results obtained on a simulated imbalanced data set and three real imbalanced data sets are presented to demonstrate the effectiveness of our proposed algorithm.

Autobiographical memory and amnesia: using conceptual knowledge to ground the self

A case of retrograde amnesia, PJM, elucidated the relationship between self, episodic memory and autobiographical knowledge. Results from a variety of measures including the I Am Memory Task (IAM Task), where memories are cued by self-generated self concepts, demonstrate that PJM has a coherent, continuous sense of self, despite having lost episodic memories for an 18-month period. Her use of conceptual autobiographical knowledge, in episodic tasks and to support aspects of identity, shows how autobiographical knowledge can support the self when episodic memories are inaccessible. These results are discussed with relation to current neuropsychological models of self and memory.

Beckett’s theatre: embodying alterity

An analysis of the ways in which Samuel becket's plays erode the boundaries of identity with particular reference to Eleutheria, Waiting for Godot and selected later plays.

Lorrie Moore: Mo(o)re than an interim assessment

Lorrie Moore has long shed the image of the precocious talent who won the Seventeen story prize with her first submission as a nineteen-year-old undergraduate, but there is still a sense that her best work may be yet to come. In that respect, this mini special issue represents by no means the final word on Moore, but rather an interim assessment of a career that is already substantial and that promises much more to come. Together these three essays (and introduction) offer a coherent and striking exploration of Moore's work that develops new directions for future criticism and will help cement her growing reputation as one of the most original and distinctive contemporary writers. They sometimes circle around the same stories, even the same quotations, reading them in a variety of frames and picking up (and at) the nuances of Moore's sustained wordplay and careful documenting of space, of identity, of gender. Thus these essays work together rather than separately, layering over multiple understandings of Moore's incisive American literature.

Playing with history: negotiating subjectivity in contemporary lens based work

Contemporary artists exploring Jewish identity in the UK are caught between two exclusions, broadly speaking: an art community that that sees itself as ‘post –identity’ and a ‘black’ art scene that revolves around the organizations that emerged out of the Identity debates of the 1980s and 1990s, namely Iniva, Third Text, Autograph. These organizations and those debates, don’t usually include Jewish identity within their remit as Jewish artists are considered to be well represented in the British art scene and, in any case, white. Out of these assumptions, questions arise in relation to the position of Jews in Britain and what is at stake for an artist in exploring Jewish Identity in their work. There is considerable scholarship, relatively speaking on art and Jewish Identity in the US (such as Lisa Bloom; Norman Kleeblatt; Catherine Sousslouf), which inform the debates on visual culture and Jews. In this chapter, I will be drawing out some of the distinctions between the US and the UK debates within my analysis, building on my own writing over the last ten years as well as the work of Juliet Steyn, Jon Stratton and Griselda Pollock. In short, this chapter aims to explore the problematic of what Jewish Identity can offer the viewer as art; what place such art inhabits within a wider artistic context and how, if at all, it is received. There is a predominance of lens based work that explores Identity arising out of the provenance of feminist practices and the politics of documentary that will be important in the framing of the work. I do not aim to consider what constitutes a Jewish artist, that has been done elsewhere and is an inadequate and somewhat spurious conversation . I will also not be focusing on artists whose intention is to celebrate an unproblematised Jewishness (however that is constituted in any given work). Recent artworks and scholarship has in any case rendered the trumpeting of attachment to any singular identity anachronistic at best. I will focus on artists working in the UK who incorporate questions of Jewishness into a larger visual enquiry that build on Judith Butler’s notion of identity as process or performative as well as the more recent debates and artwork that consider the intersectionality of identifications that co-constitute provisional identities (Jones, Modood, Sara Ahmed, Braidotti/Nikki S Lee, Glenn Ligon). The case studies to think through these questions of identity, will be artworks by Susan Hiller, Doug Fishbone and Suzanne Triester. In thinking through works by these artists, I will also serve to contextualise them, situating them briefly within the history of the landmark exhibition in the UK, Rubies and Rebels and the work of Ruth Novaczek, Lily Markewitz, Oreet Ashery and myself.

‘Getting known’: Beckett, Ireland and the creative industries

In the context of national and global trends of producing Beckett’s work, this essay will investigate recent productions of Beckett’s drama which originate in Ireland and tour internationally, examining how these relate to the concept of national identity and its marketability, as well the conceptual and material spaces provided by large-scale festival events. In the last few months, Pan Pan has toured its production of All that Fall from Dublin to the Beckett festival in Enniskillen to New York’s BAM. The Gate Theatre, always a powerhouse of Beckett productions, continues its revival of Barry McGovern’s adaptation of Watt; after the Edinburgh festival, the show will play London’s Barbican in March 2013. While originating in Ireland, these productions – those of the Gate in particular – have an international, as well as domestic, appeal. Examining these and forthcoming Gate productions, I query to what extent a theatre company’s cultural origins and international profile may create a perceived sense of authenticity or definitiveness among critical discourses at ‘home’ and abroad, and how such markers of identity are utilized by the marketing strategies which surround these productions. This article will interrogate the potential convergence of the globalized branding of both Beckett’s work and Irish identity, drawing on the writings of Bourdieu to elucidate how identity may be converted into economic and cultural capital, as well as examining the role that the festival event plays in this process.

Emotions and the habitus: Young people with socio-emotional differences (re)producing social, emotional and cultural capital in family and leisure space-times

In this paper we explore the importance of emotionally inter-dependent relationships to the functioning of embodied social capital and habitus. Drawing upon the experiences of young people with socio-emotional differences, we demonstrate how emotionally inter-dependent and relatively nurturing relationships are integral to the acquisition of social capital and to the co-construction and embodiment of habitus. The young people presented in this paper often had difficulties in forging social relationships and in acquiring symbolic and cultural capital in school spaces. However, we outline how these young people (re)produce and embody alternative kinds of habitus, based on emotionally reciprocal relationships forged through formal and informal leisure activities and familial and fraternal social relationships. These alternative forms of habitus provide sites of subjection, scope for acquiring social and cultural capital and a positive sense of identity in the face of problematic relations and experiences in school spaces.

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems

This contribution proposes a novel probability density function (PDF) estimation based over-sampling (PDFOS) approach for two-class imbalanced classification problems. The classical Parzen-window kernel function is adopted to estimate the PDF of the positive class. Then according to the estimated PDF, synthetic instances are generated as the additional training data. The essential concept is to re-balance the class distribution of the original imbalanced data set under the principle that synthetic data sample follows the same statistical properties. Based on the over-sampled training data, the radial basis function (RBF) classifier is constructed by applying the orthogonal forward selection procedure, in which the classifier’s structure and the parameters of RBF kernels are determined using a particle swarm optimisation algorithm based on the criterion of minimising the leave-one-out misclassification rate. The effectiveness of the proposed PDFOS approach is demonstrated by the empirical study on several imbalanced data sets.

The history curriculum and its personal connection to students from minority ethnic backgrounds

Whereas history is seen by some as crucial in developing a sense of identity and fostering social cohesion, it is however, often based around narrowly nationalistic views of the past, and yet little is known about how students relate to the past they are taught. Thus, this paper focuses on the history curriculum and the ways in which students aged 12-14, from different ethnic backgrounds, relate to it. Moreover, the small-scale study which enabled this paper, focused, in particular, on whether students enjoyed and valued history and whether they felt any sense of personal connection to the topics studied. Drawing on survey data collected from 102 students and focus group discussions with 42 students, from two high schools, the findings indicate that although many students enjoy history, they fail to fully understand its value. Additionally most students, especially those from minority ethnic backgrounds, feel a lack of personal connection to the past, as they do not see themselves in the history they are taught.