Abstract ethics, embodied ethics : the strange marriage of Foucault and Positivism in labour process theory

In this paper, I draw jointly upon a Foucauldian ethical discourse and the example of the so-called `Manchester school' of Foucauldian labour process theory (LPT) to question the political/ethical aspirations and effects of critical management studies. Specifically, I question the ethics and effects of LPT researchers' relationships with those they/we research. I organize the discussion around four Foucauldian ethical themes or feelings. I thread these ethical themes throughout the paper to argue that, though Foucauldian LPT may be understood to abstractly resonate with these themes, its contribution is seriously undermined through the authors' lack of attention to ways of embodying this ethics in relations with the researched. By not embodying these commitments, the marriage between Foucault and LPT risks being read more as a marriage of convenience than commitment. And, further, a marriage that reproduces a politically problematic `modernist/positivist' self-other separation or divorce between researcher and researched.

Policy recognition in the Abstract Hidden Markov Model

In this paper, we present a method for recognising an agent's behaviour in dynamic, noisy, uncertain domains, and across multiple levels of abstraction. We term this problem on-line plan recognition under uncertainty and view it generally as probabilistic inference on the stochastic process representing the execution of the agent's plan. Our contributions in this paper are twofold. In terms of probabilistic inference, we introduce the Abstract Hidden Markov Model (AHMM), a novel type of stochastic processes, provide its dynamic Bayesian network (DBN) structure and analyse the properties of this network. We then describe an application of the Rao-Blackwellised Particle Filter to the AHMM which allows us to construct an efficient, hybrid inference method for this model. In terms of plan recognition, we propose a novel plan recognition framework based on the AHMM as the plan execution model. The Rao-Blackwellised hybrid inference for AHMM can take advantage of the independence properties inherent in a model of plan execution, leading to an algorithm for online probabilistic plan recognition that scales well with the number of levels in the plan hierarchy. This illustrates that while stochastic models for plan execution can be complex, they exhibit special structures which, if exploited, can lead to efficient plan recognition algorithms. We demonstrate the usefulness of the AHMM framework via a behaviour recognition system in a complex spatial environment using distributed video surveillance data.

Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.

In this paper, we consider the problem of tracking an object and predicting the object's future trajectory in a wide-area environment, with complex spatial layout and the use of multiple sensors/cameras. To solve this problem, there is a need for representing the dynamic and noisy data in the tracking tasks, and dealing with them at different levels of detail. We employ the Abstract Hidden Markov Models (AHMM), an extension of the well-known Hidden Markov Model (HMM) and a special type of Dynamic Probabilistic Network (DPN), as our underlying representation framework. The AHMM allows us to explicitly encode the hierarchy of connected spatial locations, making it scalable to the size of the environment being modeled. We describe an application for tracking human movement in an office-like spatial layout where the AHMM is used to track and predict the evolution of object trajectories at different levels of detail.

On the recognition of abstract Markov policies

Abstraction plays an essential role in the way the agents plan their behaviours, especially to reduce the computational complexity of planning in large domains. However, the effects of abstraction in the inverse process – plan recognition – are unclear. In this paper, we present a method for recognising the agent’s behaviour in noisy and uncertain domains, and across multiple levels of abstraction. We use the concept of abstract Markov policies in abstract probabilistic planning as the model of the agent’s behaviours and employ probabilistic inference in Dynamic Bayesian Networks (DBN) to infer the correct policy from a sequence of observations. When the states are fully observable, we show that for a broad and often-used class of abstract policies, the complexity of policy recognition scales well with the number of abstraction levels in the policy hierarchy. For the partially observable case, we derive an efficient hybrid inference scheme on the corresponding DBN to overcome the exponential complexity.

New cinema history and the computational turn

This paper outlines how the digitisation of both the film industry and contemporary research practices bear on the work of the new cinema historian. How might the opportunities presented by an unprecedented proliferation of data for example, also challenge the unspoken assumptions and ordinary practices of conventional film studies research? And how might the 'computational turn' present opportunities (and challenges) for a revisionist cinema history at the intersection of qualitative historiographies (focussed on the social experience of the cinema) and quantitative research approaches such as data mining, empirical analysis and digital visualisations?

Untitled : live cinema performance

Over the last 30 years Melbourne-based film-maker, writer and academic Dirk de Bruyn has made numerous experimental, documentary and animation films and videos, continuing to maintain a no-budget, independent, self-funded focus for much of his work. De Bruyns distinctive style entails cut-up collages that draw on animation, found footage and fragments of dialogue - dyeing, painting, incising and stencilling the film strip. Live De Bruyn’s anarchic multi projection performances can involve performance, freeform vocal workouts and De Bruyn, ‘bent over and mouthing into a microphone like a demented seagull, totally involved in the relentlessly unravelling collage of home-processed footage’.Penny Webb. Ian Helliwell provided a live electronic soundtrack.