Motivation and the gift relationship

This thesis proposes a theory of Motivation to Work, as a particular condition of general motivation, using the Maussian concept of the Gift to explain the operation of Lacanian Desire. Specifically, it argues that de-motivation stems from Gift rejection. However, as the arguments are not paradigmatically commensurable with managerialist theories, it has been necessary to establish the epistemological tradition of which this work is representative, namely, Critical Theory and Post-Structuralism/Post- Modernism. In distinction to the managerialist explanations of motivation, management and work, behaviourist theories of motivation are characterised as more properly a concern with psychological incentives, management in its current socio-historic institutionalised form as a process of social domination and work as a social experience of domination, but also as a forum for social life generally. However, as such a view receives little theoretical or empirical confirmation from managerialist literature, it is argued that it is necessary to broaden the catchment area of relevant writing, and that the literary arts have more insight than orthodox science. This is supported by reference to modern literary theory in terms of the Form/Content distinction. Central to this argument is the ontological concept of Difference and its `political' use in maintaining social domination by privileging certain forms over others. Having established the basis on which to articulate this theory of motivation, the Lacanian concept of Desire is explored, together with its relevance to motivation and management/organisation theory. The theory of the Gift Relationship is then explicated and developed, together with some of its popular sociological conceptualisations, and an argument made for an understanding in terms of its psychological signficance in explaining the operationalisation of Lacanian Desire. This is related to the work situation and to its relevance for organisational management. In conclusion, its utility is considered, as are some potential criticisms of the arguments put forward.

Advanced mean field methods:theory and practice

A major problem in modern probabilistic modeling is the huge computational complexity involved in typical calculations with multivariate probability distributions when the number of random variables is large. Because exact computations are infeasible in such cases and Monte Carlo sampling techniques may reach their limits, there is a need for methods that allow for efficient approximate computations. One of the simplest approximations is based on the mean field method, which has a long history in statistical physics. The method is widely used, particularly in the growing field of graphical models. Researchers from disciplines such as statistical physics, computer science, and mathematical statistics are studying ways to improve this and related methods and are exploring novel application areas. Leading approaches include the variational approach, which goes beyond factorizable distributions to achieve systematic improvements; the TAP (Thouless-Anderson-Palmer) approach, which incorporates correlations by including effective reaction terms in the mean field theory; and the more general methods of graphical models. Bringing together ideas and techniques from these diverse disciplines, this book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling.