Autor: Miroslav Karny

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 …

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal …

Due to the rapid increase in readily available computing power, a corre- sponding increase in the complexity of problems being tackled has occurred in the field of systems as a whole. A plethora of n …

This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers.The chapters are written by leading exper …

Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory …

The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net- works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted resear …