This paper presents a novel data-driven Topic Switch Model based on a cognitive representation of a limited set of topics that are currently in-focus, which determines what utterances are chosen next. The transition model was statistically learned from a large set of transcribed dyadic interactions. Results show that using our proposed model results in interactions that on average last 2.17 tim...

objective: the aim of this study was to determine the associates of marital relationship in mustard exposed veterans. materials and methods: two hundred ninety two married iranian mustard exposed veterans, who had been exposed to single high dose mustard gas in iraq-iran war, were assessed for marital adjustment with revised dyadic adjustment scale (rdas). census sampling was done. the patients...

Few studies have assessed the relative importance of morphological, ecological and phylogenetic factors in the evolution of social behaviour. We examine the role of these factors in social evolution among blaberid cockroaches. We first analyse and compare behavioural interactions in 13 species. We then ask how the nature of these interactions relates to body shape, phylogeny and habitat. We sho...

In recent years, the application of network analysis to neuroimaging data has provided useful insights about the brain's functional and structural organization in both health and disease. This has proven a significant paradigm shift from the study of individual brain regions in isolation. Graph-based models of the brain consist of vertices, which represent distinct brain areas, and edges which ...

Understanding factors affecting social interactions among animals is important for applied animal behavior research. Thus, there a need to elicit statistical models analyze data collected from pairwise behavioral interactions. In this study, we propose treating interaction as dyadic observations and model their analysis. We performed posterior predictive checks of the through different validati...