2Fundamentals PRZEMYSŁAW SZUFEL 2.1Building your first tree 2.1.1Software requirements 2.1.2First steps 2.1.3Important notes 2.1.4Shortcuts for creation of a decision tree 2.2SilverDecisions: Tips & Tricks 2.2.1SilverDecisions application settings 2.2.2Tree branch folding 2.2.3Optimization modes 2.2.4Saving and exporting a decision tree 2.2.5Tree details 2.2.6Managing tree edit process 2.2.7Context menu actions 2.2.8Layout options 2.3Working with variables and functions 2.3.1Working with variables 2.3.2Name scopes 2.3.3Variable types 2.3.4Functions 2.3.5Text interpolation 3Mathematical foundations of decision trees BOGUMIŁ KAMIŃSKI PAWEŁ PRAŁAT 3.1Formal model of a decision tree and associated payoffs 3.1.1Decision trees 3.1.2Payoffs 3.2Introduction to Monte Carlo simulation 3.2.1Example decision tree 3.2.2Theoretical foundations of probabilistic sensitivity analysis 3.2.3Estimation of statistical parameters 3.2.4Common Random Numbers 3.3Sensitivity analysis of decision trees 4Advanced topics MICHAŁ JAKUBCZYK 4.1The value of real option & of information 4.1.1The value of real option 4.1.2The value of perfect information 4.1.3Imperfect information, working with conditional probabilities 4.2Multiple criteria 4.2.1Defining the problem with two criteria 4.2.2Interpreting the league table 4.2.3Interpreting the CE-plane 4.3Discounting 4.3.1Standard (exponential) discounting 4.3.2Hyperbolic discounting and time inconsistency 4.3.3Discounting in two-criteria problems 5Case studies CARMINE SPAGNUOLO MARIA ANGELA PELLEGRINO ALESSIA ANTELMI DANIEL KASZYŃSKI 5.1Social impact of epidemic control strategies 5.1.1Investing in a tracing application 5.1.2The impact of lockdown policies 5.2Banana trees 5.3Machine rental 5.4Transport company 5.5Sale of cosmetics 6Concluding remarks BOGUMIŁ KAMIŃSKI MICHAŁ JAKUBCZYK PRZEMYSŁA W SZUFEL A Random distributions available in SilverDecisions PRZEMYSŁAW SZUFEL B SilverDecisions quick user reference PRZEMYSŁAW SZUFEL