For dynamic games we consider the idea that a player, at every stage of the game, will
always believe that his opponents will choose rationally in the future. This is the basis for the …

The numerical methods of optimization start with optimizing functions of one variable,
bisection, Fibonacci, and Newton. Then, functions of several variables occupy the main part …

This study investigates strategies in reasoning about mental states of others, a process that
requires theory of mind. It is a first step in studying the cognitive basis of such reasoning, as …

We investigate the sustainability of vertical contracts between airports and airlines. We focus
on the case of Quantity Forcing contracts, with a theoretical model that accommodates …

This paper presents an attempt to bridge the gap between logical and cognitive treatments
of strategic reasoning in games. There have been extensive formal debates about the merits …

We argue in favor of a departure from the equilibrium approach in game theory towards the
less ambitious goal of describing only the actual behavior of rational players. The notions of …

Competitive Intelligence (CI) involves systematically gathering information about the
competitive landscape to anticipate rivals' decisions and secure a strategic advantage. As …

We investigate an extension of the notion of backward induction to dynamic games with
imperfect information and provide a doxastic characterization of it. Extensions of the idea of …

This paper presents a first attempt to bridge the gap between logical and cognitive
treatments of strategic reasoning in games. The focus of the paper is backward induction, a …

In this chapter we focus on the epistemic concept of common belief in future rationality
(Perea [37]), which describes a backward induction type of reasoning for general dynamic …