MA402: Game Theory I 2009/10
General information about MA402: Game Theory I
| Teachers: |
Prof Steve Alpern (weeks 1-5)
Prof Bernhard von Stengel (weeks 6-10)
|
| Office: |
B407, Extension 7620
B412, Extension 6438 |
| E-mail: |
s.alpern@lse.ac.uk
stengel@nash.lse.ac.uk |
| Office hours: |
(see
Office hours
page) |
| |
|
| Departmental office: |
B401, Extension 7925 |
| |
|
| Lectures: |
|
| Tuesdays 12:00-13:00 |
D1 (Hong Kong Theatre, Clement House) |
| Tuesdays 16:00-17:00 |
D1
|
| |
|
Classes start on Wednesdays in week 2.
Please check the
Timetabling
Webpage.
Course format
This is a half unit course, with lectures in the Michaelmas term. There
will also be revision lectures in the Summer term.
Note:
This half-unit course Game Theory I MA402 has the
same lectures as the undergraduate half-unit course MA301
Game
Theory I.
The course materials for that course are also quite similar to those
for
MA402. However, the classes for MA402 are taught by the
lecturers, Prof Steve Alpern and Prof Bernhard von Stengel, and
homework is marked more
comprehensively than for the undergraduate course.
The exam for MA402 will be similar in format to MA301, but more
difficult. When looking at the past exam papers for MA402, you should
note that
in the past, MA402 papers were identical to MA301 except that one or
two questions on that exam were mandatory.
(Past exam papers for MA402 are available below.)
Homework
Exercise sheets will be given out in the second lecture each
Tuesday (16:00-17:00),
to be submitted into a designated pigeonhole of your
class teacher (Prof Alpern or Prof Bernhard von Stengel)
for MA300/MA301 on the ground floor of Columbia House, by
Tuesday 5pm the following week.
This is a sharp deadline, as teachers pick
up the homework at that time, and solutions are posted on
the web. The topic will be discussed in the next class on Monday or
Tuesday. If possible, homework will be marked and return in time
for the class.
No late homework will be accepted.
Prerequisites
Basic familiarity with calculus, linear algebra and probability. See
also the
Calendar
entry.
The course is not available to students who have taken Game
Theory (MA300) or Game Theory I (MA301).
Assessment
There will be a formal 2-hour examination in the Summer term.Textbook
see reading list.
Course description of MA402: Game Theory I
What is game theory?
Game theory studies formal models of conflict and cooperation. The
theory
started with questions like how to play optimally in chess or poker.
The
resulting mathematical approaches have been further developed such that
they now form a cornerstone of mathematical economics.
Overview
MA402 is an introduction to game theory. At the end of this half-unit
course,
the student should be familiar with the main concepts of
non-cooperative
game theory, and know how they are used in modeling and analysing an
interactive
situation.
The key concepts are:
-
Players are assumed to act out of self-interest (hence the term
"non-cooperative" game theory). This is not identical to monetary
interest,
but can be anything subjectively desirable. Mathematically, this is
modeled
by a utility function.
-
Players should act strategically. This means that playing well
does
not mean being smarter than the rest, but assuming that everybody else
is also "rational" (acting out of self-interest). The game theorist's
recommendation
how to play must therefore be such that everybody would follow it. This
is captured by the central concept of Nash equilibrium.
-
It can be useful to randomize. In antagonistic situations, a
player
may play best by rolling a die that decides what to do next. In poker,
for example, it may be useful to bet occasionally high even on a weak
hand
("to bluff") so that one's opponent will take the bet even if you have
a strong hand.
Is this the right course for me?
Prerequisite is some basic familiarity with calculus, linear algebra
and
probability (see also the
Calendar
entry).
For the mathematical theory of combinatorial games, studied
in the beginning lectures, the student should know what the binary
system
(the base 2 number system) is, e.g. that 1001 in binary is 9 in
decimal.
The course is mathematical, and theorems will be
stated and proved. Nash equilibria with randomized
strategies will be described geometrically, which is best
understood when knowing the geometry of vectors.
Aims
To familiarise students with formal methods for strategic analysis. To
develop the mathematical theory of games as used in economics.
Learning Outcomes
Knowledge of fundamental concepts of non-cooperative game
theory. Ability to apply solution concepts to examples of games and to
state
and explain them precisely. Ability to solve unseen games that are
variants
of known examples.
Reading list
Complete lecture notes for the course will
be made available online.
Historically, some course material for Game
Theory I relates to
- Fun and Games: A Text on Game Theory by Ken Binmore.
D C Heath (1991); ISBN: 0669246034
Library number: QA269 B61
This book is now out of print and has a successor,
Playing for Real: A Text on Game Theory by Ken Binmore,
Oxford University Press (2007), ISBN: 0195300572.
The course roughly follows the first 7 chapters of "Fun and Games".
The book is rather slow-paced, with lots
of examples. A more compact text is
- A Course in Game Theory by Martin J. Osborne, Ariel
Rubinstein. 352 pages (1994) ISBN: 0262650401
Library number: HB144 O81
A comprehensive, more mathematical book on non-cooperative game theory
is
- Game Theory : Analysis of Conflict by Roger B.
Myerson.
Paperback
- 584 pages Reprint edition (1997) Harvard Univ Pr; ISBN:
0674341163
Library number: H61.25 M99
Economic applications, which are particularly relevant to Part II of
Game
Theory (MA300.2), are treated in
- A Primer in Game Theory by Robert Gibbons.
Paperback
- 278
pages (January 1992) Prentice Hall / Harvester Wheatsheaf; ISBN:
0745011594
Library number: HB144 G44
- Game Theory by Drew Fudenberg, Jean Tirole. 616
pages (1991) ISBN: 0262061414
Library number: HB144 F95
Past exam papers for this course
Please note: students are advised not to rely too heavily on past exam
papers when revising for their exams, as they can only offer a limited
indication of what might be covered in a future exam. For further information,
please see the guidance here:
http://www.maths.lse.ac.uk/examinations_in_mathematics.html#past_papers
Exam
paper of 2007
Solutions
to 2007 Exam
Exam
paper of 2008
Solutions
to 2008 Exam
Exam
paper of 2009
Solutions
to 2009 Exam
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of Economics & Political Science 2010
Last change: 6 May 2010
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