Relational Drawings in Couple Therapy

In couple therapy sessions, partners often get into long and drawn-out discussions, heavy with pain, resentment, and blame. It is vital for the therapist to avoid becoming entangled in these escalating interactions. In this article, as one way of avoiding these interactions, a protocol is proposed of using relational drawings in couple therapy for opening space for new stories. This approach is strongly rooted in extensive therapeutic experience, as well as in dialogical ideas. Not the content of the partners' imagery is central, but rather the dialogical exchange about the drawings. In particular, the focus of the therapist is on the partners' interactions, their hesitations and their surprises. Working in this way opens space for the partners to reflect on what they experience as crucial in their bond. The protocol is illustrated with two detailed case examples.     

Have Your Cake and Eat It Too: The Old Principal Principle Reconciled with the New*

David Lewis (1980) proposed the Principal Principle (PP) and a “reformulation” which later on he called ‘OP’(Old Principle). Reacting to his belief that these principles run into trouble, Lewis (1994) concluded that they should be replaced with the New Principle (NP). This conclusion left Lewis uneasy, because he thought that an inverse form of NP is “quite messy”, whereas an inverse form of OP, namely the simple and intuitive PP, is “the key to our concept of chance”. I argue that, even if OP should be discarded, PP need not be. Moreover, far from being messy, an inverse form of NP is a simple and intuitive Conditional Principle (CP). Finally, both PP and CP are special cases of a General Principle (GP); it follows that so are PP and NP, which are thus compatible rather than competing.     

Decomposition,Interdependence and Precision in Multiattribute Utility Measurements

Traditionally, parameters of multiattribute utility models, representing a decision maker's preference judgements, are treated deterministically. This may be unrealistic, because assessment of such parameters is potentially fraught with imprecisions and errors. We thus treat such parameters as stochastic and investigate how their associated imprecision/errors are propagated in an additive multiattribute utility function in terms of the aggregate variance. Both a no information and a rank order case regarding the attribute weights are considered, assuming a uniform distribution over the feasible region of attribute weights constrained by the respective information assumption. In general, as the number of attributes increases, the variance of the aggregate utility in both cases decreases and approaches the same limit, which depends only on the variances as well as the correlations among the single-attribute utilities. However, the marginal change in aggregate utility variance decreases rather rapidly and hence decomposition as a variance reduction mechanism is generally useful but becomes relatively ineffective if the number of attributes exceed about 10. Moreover, it was found that utilities which are positively correlated increase the aggregate utility variance, hence every effort should be made to avoid positive correlations between the single-attribute utilities. We also provide guidelines for determining under what condition and to what extent a decision maker should decompose to obtain an aggregate utility variance that is smaller than that of holistic assessments. Extensions of the current model and empirical research to support some of our behavioural assumptions are discussed. © 1997 John Wiley & Sons, Ltd.     

Our Personal and Professional Lives: Learning Positive Connotation and Circular Questioning

The work of the Center for the Study of the Family in Milan has had wide influence. We describe its influence on us--the positive connotation of many car journeys, our self-training, and changes in how we view, and function in, our personal and professional lives.     

GAIA,OCKHAM'S RAZOR,THE SCIENCE OF COMPLEXITY

In this article, the author describes his sense of synchronicity with Edgar Morin's concepts of complexity. Although Morin only briefly addresses Gaia per se, the implications of Morin's work may reveal the Gaia concept as an element of the general breakthroughs of complexity science. Morin demonstrates a phase transition that is gaining momentum right now, whereby the new, more benign science is overwhelming the old Cartesian world.