Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System

A Fuzzy ART model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART incorporates computations from fuzzy set theory into the ART 1 neural network, which learns to categorize only binary input patterns. The generalization to learning both analog and binary input patterns is achieved by replacing appearances of the intersection operator (n) in AHT 1 by the MIN operator (Λ) of fuzzy set theory. The MIN operator reduces to the intersection operator in the binary case. Category proliferation is prevented by normalizing input vectors at a preprocessing stage. A normalization procedure called complement coding leads to a symmetric theory in which the MIN operator (Λ) and the MAX operator (v) of fuzzy set theory play complementary roles. Complement coding uses on-cells and off-cells to represent the input pattern, and preserves individual feature amplitudes while normalizing the total on-cell/off-cell vector. Learning is stable because all adaptive weights can only decrease in time. Decreasing weights correspond to increasing sizes of category "boxes". Smaller vigilance values lead to larger category boxes. Learning stops when the input space is covered by boxes. With fast learning and a finite input set of arbitrary size and composition, learning stabilizes after just one presentation of each input pattern. A fast-commit slow-recode option combines fast learning with a forgetting rule that buffers system memory against noise. Using this option, rare events can be rapidly learned, yet previously learned memories are not rapidly erased in response to statistically unreliable input fluctuations.

Normal and Amnesis Learning, Recognition, and Memory by a Neural Model of Cortico-Hippocampal Interactions

The processes by which humans and other primates learn to recognize objects have been the subject of many models. Processes such as learning, categorization, attention, memory search, expectation, and novelty detection work together at different stages to realize object recognition. In this article, Gail Carpenter and Stephen Grossberg describe one such model class (Adaptive Resonance Theory, ART) and discuss how its structure and function might relate to known neurological learning and memory processes, such as how inferotemporal cortex can recognize both specialized and abstract information, and how medial temporal amnesia may be caused by lesions in the hippocampal formation. The model also suggests how hippocampal and inferotemporal processing may be linked during recognition learning.

Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?

Statistical learning can be used to extract the words from continuous speech. Gómez, Bion, and Mehler (Language and Cognitive Processes, 26, 212–223, 2011) proposed an online measure of statistical learning: They superimposed auditory clicks on a continuous artificial speech stream made up of a random succession of trisyllabic nonwords. Participants were instructed to detect these clicks, which could be located either within or between words. The results showed that, over the length of exposure, reaction times (RTs) increased more for within-word than for between-word clicks. This result has been accounted for by means of statistical learning of the between-word boundaries. However, even though statistical learning occurs without an intention to learn, it nevertheless requires attentional resources. Therefore, this process could be affected by a concurrent task such as click detection. In the present study, we evaluated the extent to which the click detection task indeed reflects successful statistical learning. Our results suggest that the emergence of RT differences between within- and between-word click detection is neither systematic nor related to the successful segmentation of the artificial language. Therefore, instead of being an online measure of learning, the click detection task seems to interfere with the extraction of statistical regularities.

Shock avoidance by discrimination learning in the shore crab (Carcinus maenas) is consistent with a key criterion for pain

Nociception allows for immediate reflex withdrawal whereas pain allows for longer-term protection via rapid learning. We examine here whether shore crabs placed within a brightly lit chamber learn to avoid one of two dark shelters when that shelter consistently results in shock. Crabs were randomly selected to receive shock or not prior to making their first choice and were tested again over 10 trials. Those that received shock in trial 2, irrespective of shock in trial 1, were more likely to switch shelter choice in the next trial and thus showed rapid discrimination. During trial 1, many crabs emerged from the shock shelter and an increasing proportion emerged in later trials, thus avoiding shock by entering a normally avoided light area. In a final test we switched distinctive visual stimuli positioned above each shelter and/or changed the orientation of the crab when placed in the chamber for the test. The visual stimuli had no effect on choice, but crabs with altered orientation now selected the shock shelter, indicating that they had discriminated between the two shelters on the basis of movement direction. These data, and those of other recent experiments, are consistent with key criteria for pain experience and are broadly similar to those from vertebrate studies. © 2013. Published by The Company of Biologists Ltd.

Mathematics Learning Support in Ireland in 2015

The provision of mathematics learning support in higher-level institutions on the island of Ireland has developed rapidly in recent times with the number of institutions providing some form of support doubling in the past seven years. The Irish Mathematics Learning Support Network aims to inform all mathematics support practitioners in Ireland on relevant issues. Consequently it was decided that a detailed picture of current provision was necessary. A comprehensive online survey was conducted to amass the necessary data. The ultimate aim of the survey is to benefit all mathematics support practitioners in Ireland, in particular those in third-level institutions who require further support to enhance the mathematical learning experience of their students. The survey reveals that the majority of Irish higher-level institutions provide mathematics learning support to some extent, with 65% doing so through a support centre. Learners of service mathematics are the primary users: first-year science, engineering and business undergraduates, with non-traditional students being a sizeable element. Despite the growing recognition for the need to offer mathematics learning support almost half of the centres are subject to annual review. Further, less than half the support offerings have a dedicated full-time manager, while 60% operate with a staff of five or fewer. The elevation of mathematics support as a viable and worthwhile career in order to attract and retain high quality staff is seen by many respondents as the crucial next phase of development.

Improving a regional chemotherapy service by learning from deaths occurring within 30 days of treatment with systemic anti-cancer therapy.

Background: Outwith clinical trials, patient outcomes specifically related to SACT (systemic anti-cancer therapy) are not well reported despite a significant proportion of patients receiving active treatment at the end of life. The NCEPOD reviewing deaths within 30 days of SACT found SACT caused or hastened death in 27% of cases.

Method: Across the Northern Ireland cancer network, 95 patients who died within 30 days of SACT for solid tumours were discussed at the Morbidity and Mortality monthly meeting during 2013. Using a structured template, each case was independently reviewed, with particular focus on whether SACT caused or hastened death.

Results: Lung, GI and breast cancers were the most common sites. Performance status was recorded in 92% at time of final SACT cycle (ECOG PS 0-2 89%).

In 57% the cause of death was progressive disease. Other causes included thromboembolism (13%) and infection (5% neutropenic sepsis, 6% non-neutropenic sepsis). In 26% with death from progressive disease, the patient was first cycle of first line treatment for metastatic disease. In the majority discussion regarding treatment aims and risks was documented. Only one patient was receiving SACT with curative intent, who died from appropriately managed neutropenic sepsis.

A definitive decision regarding SACT's role in death was made in 60%: in 49% SACT was deemed non-contributory and in 11% SACT was deemed the cause of death. In 40% SACT did not play a major role, but a definitive negative association could not be made.

Conclusion: Development of a robust review process of 30-day mortality after SACT established a benchmark for SACT delivery for future comparisons and identified areas for SACT service organisation improvement. Moreover it encourages individual practice reflection and highlights the importance of balancing patients' needs and concerns with realistic outcomes and risks, particularly in heavily pre-treated patients or those of poor performance status.

Enhancing Security Requirements Engineering by Organisational Learning

More and more software projects today are security-related in one way or the other. Requirements engineers often fail to recognise indicators for security problems which is a major source of security problems in practice. Identifying security-relevant requirements is labour-intensive and errorprone. In order to facilitate the security requirements elicitation process, we present an approach supporting organisational learning on security requirements by establishing company-wide experience resources, and a socio-technical network to benefit from them. The approach is based on modelling the flow of requirements and related experiences. Based on those models, we enable people to exchange experiences about security-requirements while they write and discuss project requirements. At the same time, the approach enables participating stakeholders to learn while they write requirements. This can increase security awareness and facilitate learning on both individual and organisational levels. As a basis for our approach, we introduce heuristic assistant tools which support reuse of existing security-related experiences. In particular, they include Bayesian classifiers which issue a warning automatically when new requirements seem to be security-relevant. Our results indicate that this is feasible, in particular if the classifier is trained with domain specific data and documents from previous projects. We show how the ability to identify security-relevant requirements can be improved using this approach. We illustrate our approach by providing a step-by-step example of how we improved the security requirements engineering process at the European Telecommunications Standards Institute (ETSI) and report on experiences made in this application.

A Designer’s Approach: Exploring how Autistic Adults with Additional Learning Disabilities Experience their Home Environment

Autistic adults with limited speech and additional learning disabilities are people whose perceptions and interactions with their environment are unique, but whose experiences are under-explored in design research. This PhD by Practice investigates how people with autism experience their home environment through a collaboration with the autism charity Kingwood Trust, which gave the designer extensive access to a community of autistic adults that it supports. The PhD reflects upon a neurotypical designer’s approach to working with autistic adults to investigate their relationship with the environment. It identifies and develops collaborative design tools for autistic adults, their support staff and family members to be involved. The PhD presents three design studies that explore a person’s interaction with three environmental contexts of the home i.e. garden, everyday objects and interiors. A strengths-based rather than a deficit-based approach is adopted which draws upon an autistic person’s sensory preferences, special interests and action capabilities, to unravel what discomfort and delight might mean for an autistic person; this approach is translated into three design solutions to enhance their experience at home. By working beyond the boundaries of a neurotypical culture, the PhD bridges the autistic and neurotypical worlds of experience and draws upon what the mainstream design field can learn from designing with autistic people with additional learning disabilities. It also provides insights into the subjective experiences of people who have very different ways of seeing, doing and being in the environment

ILS and RTP: Support to Researchers Provided by Information and Learning Services as Part of the Research Training Programme at the University of Worcester, Past, Present and Future.

The purpose of this article is to investigate the involvement of Information and Learning Services staff in the delivery of the Research Training Programme at the University of Worcester, UK with a focus on researcher receptivity. I believe that by constantly reflecting on the development of that part of the programme delivered by ILS and by examining feedback from the sessions, it is possible to improve and increase the level of researcher receptivity. It is hoped that such examination and reflection will be of value and relevance to the IL community since by reflecting on success and failure in a local context and by mapping this reflection to existing research enables librarians to improve the support provided to researchers within their institutions. This article outlines the support given to research students at the University of Worcester in the past, examines the changes leading to present programme delivery and reflects on considerations for future support. The article is underpinned by reference to current research undertaken in international (albeit Western-centric) contexts. I note that the rationale behind changes is embedded in current adult learning and teaching theory. In an increasingly competitive research environment where funding is dependent on a statistically monitored research output, the aim of such support is to integrate any IL contribution into the wider research training programme. Thus resource discovery becomes part of the reflexive research cycle. Implicit in this investigative reflection is the desire of the IL community to constantly strive towards the positive reception of IL into research support programmes which are perceived by researchers as highly valuable to the process and progress of their work.

Teaching by leading and managing learning environments

The aim of this chapter is to promote an understanding of how different environments or settings within which students are asked or required to learn - such as large groups, small groups and laboratory and practice settings – have an impact on how they approach their learning and hence on the design and delivery of teaching. It provides an overview of underpinning principles and concepts before exploring their application in practice. The focus is on face-to-face teaching and learning.