Econ 223: week 5 2012
Lecture 13: Offically scheduled day and time not yet known (at Jan 2012) Combining Sequential
& Simultaneous Games: The problem of deterrence - resolve and restraint in military responses (3 of 3)
- Topic and reading :Myerson
on Deterrence (paper for the US army on deterring aggression
using resolve and restraint;
- handout | video
on UC server | strategic
econ videos on uctv
Lecture 14 : Offically scheduled day and time not yet known (at Jan 2012) Risk, Uncertainty
and Information in strategic Games. ( 1 of 6)
- Topic: Introducing
uncertainty through contingent actions, events, and payoffs in
a simple sequential card game; the idea of an uncertain but expected payoff using subjective probabilities like TAB sports betting odds
- handout | video
on UC server | strategic
econ videos on uctv
- read: ch
7: 186-194 (omit last para p 191);omit minimax on pages 194-198 unless
you're keen; read section 3 198-199; skip sections 4 and 5; 212-217;
omit exercises : [but if you're
keen try 7.6 and 7.7]; read appendix 221-231 but only for the concepts...this
is not a course in probability theory - and Gigerenzer, above,
is better for ubderstanding of concepts related to beliefs, uncertainties,
probabilities ...;you might also like to read a
short article I've written on the sports betting bookies at
the TAB which "explains" this idea of probabilities as
prices;
- view :Short video
clip (made in 2004 but relevant in 2009 too) about measuring probabilities
as prices ...
Lecture 15 : Offically scheduled day and time not yet known (at Jan 2012) Risk, Uncertainty
and Information in strategic Games. ( 2 of 6)
- Topic: Using imperfect diagnostic information strategically
to learn and to coherently change your beliefs: inverse probability reasoning
and "learning" in game trees; natural frequency reasoning
- handout | video
on UC server | strategic
econ videos on uctv
- read: ; Gigerenzer pp26-51
[all of gigierenzer is worthwhile- you'll enjoy the first chapter,
but the key ideas we need for game theory are on pp26-51 -we'll work
thru the example in chapter 4 in class); Dixit and Skeath Appendix to CH 7 (skip math details - if you understand and can work with material in class on probability you'll be fine)
- Download, view play : click here for a webcast tutorial explaing some ideas about how to obtain and use the M.I.T (Mathematica Inference Tool) software program to explore what inference to make from tests of different sensitivity , specificty and base rates (all this will be clear!)