We propose a computational model of the impact of labels on visual categorisation. The proposed model is based on selforganising maps. The model successfully reproduces the experiments demonstrating the impact of labelling on infant categorisation reported in Plunkett, Hu, and Cohen (2008). Two architectures are explored. Both mimic infant behaviour in both the familiarisation and testing phase...

Autism Spectrum Disorder (ASD), a neurological abnormality that influences how an individual perceives and interacts with others, which leads to issues social interaction communication. In accordance the Centers for Disease Control Prevention, 1 in every 44 children USA is affected by ASD. The identification of ASD based on behavioural characteristics it generally takes long time from initial o...

Distributional information has been shown to combine with phonological information in aiding categorisation of words into grammatical categories. There has been debate about the type of distributional information that is most useful in category learning, in particular whether bigrams are sufficient for category acquisition. This paper presents two experiments testing people’s sensitivity to big...

This paper outlines a cognitive model in which internal representations are spatial functions, and in which the associated process model is governed by distance in psychological space. Motivation for the model comes from the role of similarity judgements in human reasoning, and the apparent ability of humans to create task-dependent features about the concepts used in reasoning. Motivation also...

This paper deals with a method for automatic categorisation of texts according to concept hierarchies that describe a domain. This categorisation is based upon two principal components: – the definition of category representatives resulting from learning, – a voting mechanism in order to determine the most suitable categories for a given document. We evaluate the influence of different paramete...