A characteristic feature of the global climate change dilemma is interdependence between the underlying economic development that drives anthropogenic climate change-typically modelled as a common pool resource dilemma-and the subsequent dilemma arising from the need to mitigate the negative effects of climate change, often modelled as a public goods dilemma. In other words, in a carbon-based economy, causal responsibility for climate change is a byproduct of economic development, and is therefore endogenous to it. To capture this endogeneity, we combine these two dilemmas into a 'compound climate dilemma' and conduct a series of incentivized experiments in the United States and China to test its implications for cooperation and prosocial behaviour.
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January 2016
Many algorithms for scientific visualization and image analysis are rooted in the world of continuous scalar, vector, and tensor fields, but are programmed in low-level languages and libraries that obscure their mathematical foundations. Diderot is a parallel domain-specific language that is designed to bridge this semantic gap by providing the programmer with a high-level, mathematical programming notation that allows direct expression of mathematical concepts in code. Furthermore, Diderot provides parallel performance that takes advantage of modern multicore processors and GPUs.
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