Scalable probabilistic reasoning is the key to unlocking the full potential of the age of big data. From untangling the biological processes that govern cancer to effectively targeting products and advertisements, probabilistic reasoning is how we make sense of noisy data and turn information into understanding and action. Unfortunately, the algorithms and tools for sophisticated structured pro...

This chapter reviews the history and current status of information-processing approaches to cognitive development. Because the approach is so pervasive, it is useful to characterize research in terms of distinctive features, and to organize the features according to whether they are "soft-core" or "hard-core" aspects of the information processing approacn, as follows: Features of soft-core info...

trypsin is a serine protease found in the digestive system of many vertebrates, where it hydrolyses proteins. trypsin has been used widely in various biotechnological processes. in this study trypsin was purified using two precipitation cut, 35% and 75% as saturation percent of ammonium sulfate solutions, tca precipitation (2.5% w/v), ph precipitation and finally affinity chromatography. this m...

multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. one of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...

Scalable probabilistic reasoning is the key to unlocking the full potential of the age of big data. From untangling the biological processes that govern cancer to effectively targeting products and advertisements, probabilistic reasoning is how we make sense of noisy data and turn information into understanding and action. Unfortunately, the algorithms and tools for sophisticated structured pro...

We study a dynamic coordination process in which agents are uncertain about the actions of their fellow agents, and anticipate strategically relevant information. Because of the uncertainty and learning, (ir)reversibility of actions has important strategic consequences. We find that the reversibility option can either enhance or hamper efficient coordination, and we characterize the direction o...

We extend Post’s programme to finite levels of the Ershov hierarchy of ∆2 sets, and characterise, in the spirit of Post [9], the degrees of the immune and hyperimmune d.c.e. sets. We also show that no properly d.c.e. set can be hh-immune, and indicate how to generalise these results to n-c.e. sets, n > 2.