Eco514 Game Theory Lecture 16: Applications of Sequential and Perfect Bayesian Equilibrium Marciano Siniscalchi November 16, 1999 Introduction The purpose of this lecture is to help you familiarize with the workings of sequential equi- librium and \sequential equilibrium lite, i.e. perfect Bayesian equilibrium. The main focus is the \reputation\ result of Kreps and Wilson(1982). You should refer

Eco514 Game Theory Lecture 14: General Extensive Games Marciano Siniscalchi November 10, 1999 Introduction [By and large, I will follow OR, Chapters 11 and 12, so I will keep these notes to a minimum.] Games with observed actions and payoff uncertainty Not all dynamic models of strategic interaction fit within the category of games with observed actions we have developed in the previous lectures. In particular, no allowance was made

Eco514 Game Theory Lecture 12: Repeated Games(1) Marciano Siniscalchi October 26, 1999 Introduction [By and large, I will follow OR, Chap. 8, so I will keep these notes to a minimum.] The theory of repeated games is double-edged sword. On one hand, it indicates how payoff profiles that are not consistent with Nash equilibrium in a simultaneous-move game might be achieved when the latter is played repeatedly, in a manner consistent with Nash or

Eco514 Game Theory Lecture 10: Extensive Games with (Almost)Perfect Information Marciano Siniscalchi October 19, 1999 Introduction Beginning with this lecture, we focus our attention on dynamic games. The majority of games of economic interest feature some dynamic component, and most often payoff uncertainty as well. The analysis of extensive games is challenging in several ways. At the most basic level describing the possible sequences of events (choices)which define a particular game form is not problematic per se; yet, different formal definitions have been proposed, each with its pros and cons

INTRODUCTION Level five Complex Systems, Function Units from levels Two through Four Level four More complex Function Logic Units, e.g. microprocessor Third IC level (VLSI) Level three Function Logic Units, e.g. adders, Second IC level counters, multiplexers (MSI and LSI) Level two Function Logic Units, e.g. gates, NOT, AND, NAND, EX-OR First IC level (SSI)

Chapter 0 Objectives After you have read and studied this chapter,you should be able to State briefly a history of computers. Name and describe four major components of the computer. Convert binary numbers to decimal numbers and vice versa. State the difference between the low-level and high-level programming languages

Digital Signal Processing Theory, method, algorithm Digital Signal Processor A kind of microprocessor used to implement digital signal processing algorithm

6.1 Introduction The convolution sum description of an LTI discrete-time system can, in principle, be used to implement the system For an IR finite-dimensional system this approach is not practical as here the impulse response is of infinite length · However, direct implementation of the IIR finite-dimensional system is practica

A Simple Binomial Model of Stock Price Movements In a binomial model, the stock price at the BEGINNING of period can lead to only 2 stock prices at the END of that period

The Nature of Derivatives derivative(衍生产品/工具) is an instrument whose value depends on the values of other more basic underlying(标的/原 生) variables