A practical approach for training dynamic recurrent neural networks: use of Apriori information

Presents a technique for incorporating a priori knowledge from a state space system into a neural network training algorithm. The training algorithm considered is that of chemotaxis and the networks being trained are recurrent neural networks. Incorporation of the a priori knowledge ensures that the resultant network has behaviour similar to the system which it is modelling.

Practical neural networks in a computer control package

This paper deals with the integration of radial basis function (RBF) networks into the industrial software control package Connoisseur. The paper shows the improved modelling capabilities offered by RBF networks within the Connoisseur environment compared to linear modelling techniques such as recursive least squares. The paper also goes on to mention the way this improved modelling capability, obtained through the RBF networks will be utilised within Connoisseur.

Resilience planning, economic change and the politics of post-recession development in London and Hong Kong

For much of the 1990s and 2000s, the emphasis of urban policy in many global cities was on managing and mitigating the social and environmental effects of rapid economic growth. The credit crunch of 2008 and the subsequent recession have undermined some of the core assumptions on which such policies were based. It is in this context that the concept of resilience planning has taken on a new significance. Drawing on contemporary research in London and Hong Kong, the paper shows how resilience and recovery planning has become a key area of political debate. It examines what is meant by conservative and radical interpretations of resilience and how conservative views have come to dominate ‘recovery’ thinking, with élite groups unwilling to accept the limits to the neo-liberal orthodoxies that helped to precipitate the economic crisis. The paper explores the implications of such thinking for the politics of urban development.

Deception-detection and machine intelligence in practical Turing tests

Deception-detection is the crux of Turing’s experiment to examine machine thinking conveyed through a capacity to respond with sustained and satisfactory answers to unrestricted questions put by a human interrogator. However, in 60 years to the month since the publication of Computing Machinery and Intelligence little agreement exists for a canonical format for Turing’s textual game of imitation, deception and machine intelligence. This research raises from the trapped mine of philosophical claims, counter-claims and rebuttals Turing’s own distinct five minutes question-answer imitation game, which he envisioned practicalised in two different ways: a) A two-participant, interrogator-witness viva voce, b) A three-participant, comparison of a machine with a human both questioned simultaneously by a human interrogator. Using Loebner’s 18th Prize for Artificial Intelligence contest, and Colby et al.’s 1972 transcript analysis paradigm, this research practicalised Turing’s imitation game with over 400 human participants and 13 machines across three original experiments. Results show that, at the current state of technology, a deception rate of 8.33% was achieved by machines in 60 human-machine simultaneous comparison tests. Results also show more than 1 in 3 Reviewers succumbed to hidden interlocutor misidentification after reading transcripts from experiment 2. Deception-detection is essential to uncover the increasing number of malfeasant programmes, such as CyberLover, developed to steal identity and financially defraud users in chatrooms across the Internet. Practicalising Turing’s two tests can assist in understanding natural dialogue and mitigate the risk from cybercrime.

Heaney and the neighbour: poetry between politics and ethics

In this essay I argue that Heaney uses the figure of the neighbour to examine questions of otherness and cultural difference and their relationship to history and politics. The neighbour is of course a figure that has played a central role in Western philosophy and theology for centuries, from the Gospels and Kant to Freud and Lacan. It is also a concept to which Western poetry often returns, particularly in the work of Herbert, Clare, Eliot and Auden. Heaney too belongs to this tradition, in that his oeuvre contains many poems which consider the relationship between neighbours, and do so in ways profoundly suggestive for consideration of the relationship between historical events, social structures, cultural difference and psychic affect. In my essay I argue that Heaney sketches a profoundly materialist conception of subjectivity in its relationship with the Other. In doing so I contrast Heaney’s treatment of the neighbour, with its emphasis on questions of politics and locality, to the treatment of the neighbour in the ethical philosophy of Emmanuel Levinas.