CTYI Game Theory Course


Game theory is the study of strategic interactions. This course is about asking what happens when people or things with different incentives or motivations interact \textit{against} one another to achieve their own best outcome. It has become the underpinning of evolutionary theory, economics, business processes, international relations and is the subject of major motion pictures, like `A Beautiful Mind'. In this course we will discover the laws underpinning every game and study specific examples of different types of games taken using examples from literature, the movies, board games, economics, molecular biology, international politics, business studies, dating, game shows, government funding opportunities and, of all things, fuel injection mechanisms in cars and the songs of the Dunes in the Sahel. Students who like mathematics will enjoy the course, and those who are less adept at maths but who enjoy playing constructively will benefit from taking this course.


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Course Outline Ver 0.2.pdf

Search and Selection in the Goodwin Growth Model


The Goodwin growth model is a particular dynamical system exhibiting limit cycle behaviour. I wish to add a measure of search and selection into the basic model by adapting one of the parameters of the model to be affected by an operator, such that the search process itself is a function of the relative slackness of the labour market summarised by the Phillips curve relationship modelled within the Goodwin model, and a new operator defined below, following Kauffman (1993) NK model of search and selection along fitness landscapes. The results of simulations show simply that the dynamics of the augmented Goodwin economy are essentially unchanged, though the search process itself is determined more by the macro-dynamics than the microeconomic conditions imposed on the actors in the system by the ruggedness of the landscape.


Mathematica as a Foundation for Economic Analysis

Lecture notes for the Mathematica Course for the Newschool are here in mathematica notebook format and in .pdf format. The main set of notes is in .nb, as people may need access to some of the code I've written in the appendices for other thingsĀ  they might like to do. The lecture notes are in .pdf because I think you should go through the tedium of typing the functions in to learn the syntax, as opposed to just shift-entering your way through a notebook in 10 seconds and not learning anything about the system

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