This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising. It developed from a series of targeted research projects s- ported both by the European Commission and Czech grant bodies. The source text has served as a common basis of communication for the research team. When accumulating and re?ning the material we found that the text could also serve as - a grand example of the strength of dynamic Bayesian decision making, - a practical demonstration that computational aspects do matter, - a reference to ready particular solutions in learning and optimization...

This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising. It developed from a series of targeted research projects s- ported both by the European Commission and Czech grant bodies. The source text has served as a common basis of communication for the research team. When accumulating and re?ning the material we found that the text could also serve as - a grand example of the strength of dynamic Bayesian decision making, - a practical demonstration that computational aspects do matter, - a reference to ready particular solutions in learning and optimization...

This book explores ways to decrease gaps between prescriptive theory and real-life decision making. Shows how imperfect decision makers can outperform experts, how emotions influence rationality and how to decrease imperfection by reducing knowledge available.