Meeting Links
Notes
These notes are by no means complete or even totally factual. Just stuff I jotted down when talking. It would be useful to have better notes & definitions. I'll come back to this when solving my exercise.
2.4 - Existence of a Nash Equilibrium
- You can prove that there must exist a Nash equilibrium if the game conforms to specific properties
- if every action profile is a convex set
- compact set: contains it’s limits points and it is bounded
this is considering infinity actions
some proofs prove that there is only one nash equilibrium
2.5 - Strictly Competitive Games
- maxminimizer— maxing your profit, minimizing their profit
- in a strictly competitive game, all actors will be maxminimizers
- Can be used to reason about properties of games if we know they are strictly competitive--super useful stuff!
2.6 - Bayesian Games 🎉
- Good video on Bayesian Games (mentions player types)
- [?] omega is [a set of...?...] which will influence player's strategies
- each player has a sense for other players choice depending on an external source of randomness
- [?] each player uses information coming from signals to deduce the probability that a specific result of omega has occurred
- if signal function has all the info, it is a complete view [is this called complete view?]