Economic agents are not always rational or farsighted and can make decisions according to
simple behavioral rules that vary according to situation and can be studied using the tools of …

Perfect rationality (PR) has been widely used in modeling travel behavior. As opposed to
PR, bounded rationality (BR) has recently regained researchers' attention since it was first …

Regularized learning is a fundamental technique in online optimization, machine learning,
and many other fields of computer science. A natural question that arises in this context is …

A systematic, rigorous, comprehensive, and unified overview of evolutionary game theory.
This text offers a systematic, rigorous, and unified presentation of evolutionary game theory …

Throughout history, networks have provided the foundations by which humans have
conducted their economic activities. Transportation and logistical networks make possible …

An analysis of the loss in performance caused by selfish, uncoordinated behavior in
networks. Most of us prefer to commute by the shortest route available, without taking into …

Abstract Dynamic Traffic Assignment (DTA) has evolved substantially since the pioneering
work of Merchant and Nemhauser. Numerous formulations and solutions approaches have …

This paper considers a simultaneous route and departure (SRD) time choice equilibrium
assignment problem in network with queues. The problem is modeled on discrete-time basis …

We investigate a class of reinforcement learning dynamics where players adjust their
strategies based on their actions' cumulative payoffs over time—specifically, by playing …

Under relatively general assumptions a unique deterministic departure-time user equilibrium
with a finite departure rate exists in the bottleneck model with drivers who differ in their unit …