This paper presents an extension of prior work by Michael D. Lee on psychologically plausible text categorisation. Our approach utilises Lee’s model as a pre-processing filter to generate a dense representation for a given text document (a document profile) and passes that on to an arbitrary standard propositional learning algorithm. Similarly to standard feature selection for text classificati...

In recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of the best-performing algorithms took run-time performance into account, rendering most of them useless for real-time active vision scenarios such as cognitive robots. In this paper, we com...

This article presents a series of experiments on concept formation. These experiments compared four different categorisation rules. The rules presume that the stimuli to be classified can be modelled psychologically as points in a dimensional space (Shepard 1987, Gärdenfors 1990a, 1990b). Two of the rules are based on the assumption that there are prototypical representatives of a concept, a th...

This paper proposes a continuous-time machine learning model that learns the chronological relationships and the intervals between events, stores and organises the learnt knowledge in different levels of abstraction in a network, and makes predictions about future events. The acquired knowledge is represented in a categorisation-like manner, in which events are categorised into categories of di...

An architecture that provides personalised filtering and dissemination of news items is presented. It is based on user profiles and it provides mechanisms that allow the user to control and tailor to his own needs the interaction between three different sources of relevance judgements: the existing newspaper categorisation by sections, basic information retrieval on user selected keywords, and ...

The Internet plays host to many millions of documents and images and is increasing in size all the time. As a result locating web content is becoming increasingly difficult for users, and search traffic from users and spiders is increasing rapidly. A directory of the contents of the emerging cache hierarchy would be more complete than existing tools and avoid the need for spider traffic. Howeve...