3. Fundamental Concepts

The chapter begins by discussing the general use of models in isolating aspects of processes or things through abstraction and generalization. It then focuses on modeling choices, specifically discrete choice analysis, which is distinguished by its behavioral foundations. The text explores the concept of utility maximization as a decision-making rule, where the decision-maker chooses the alternative that gives the highest utility. It also introduces the idea of random utility and the use of probability distribution functions to make probabilistic statements about choices. The chapter highlights the importance of understanding the random components in decision-making processes and how they can be modeled using different probability distribution functions. Additionally, it discusses other plausible choice mechanisms such as lexicographic choice and satisficing behavior, providing a well-rounded view of the field. The chapter concludes with exercises that reinforce the understanding of key concepts, making it a valuable resource for those interested in the intricacies of choice modeling.