Playing with 'peng' in Tai-chi Boxing

'Peng' (pronounced 'pung'), or 'ward-off,' as it roughly translates, is one ofthe thirteen 'shi' or core postureslprinciples ofthe Chinese meditative, selfhealing and martial art ofTaijiquan (T'ai-chi Ch'uan). This paper describes a particular 'peng' training drill, simply called the 'peng-drill', created by a small group ofTaiji Boxing practitioners in Australia. The analysis draws on the work ofcultural theorist Paul Willis, and recent scholarship within the sociology ofthe body that builds on Willis' work, most notably the work ofAIan Radley. It is argued that 'peng-dril/' evidences a particular opening out ofor 'playing with' the 'objective possibilities' ofTaijiquan as a practice. 'Peng-drill' is depicted as afonn of 'sensuous meaning making'-body-out as it were-through which practitioners generate and conftgure meanings and hence salient body-self-identities, or rather bodily sensibilities: as Taiji practitioners-

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

As an alternative to traditional evolutionary algorithms (EAs), population-based incremental learning (PBIL) maintains a probabilistic model of the best individual(s). Originally, PBIL was applied in binary search spaces. Recently, some work has been done to extend it to continuous spaces. In this paper, we review two such extensions of PBIL. An improved version of the PBIL based on Gaussian model is proposed that combines two main features: a new updating rule that takes into account all the individuals and their fitness values and a self-adaptive learning rate parameter. Furthermore, a new continuous PBIL employing a histogram probabilistic model is proposed. Some experiments results are presented that highlight the features of the new algorithms.