Presentation is loading. Please wait.

Presentation is loading. Please wait.

Conclusion.

Similar presentations


Presentation on theme: "Conclusion."— Presentation transcript:

1 Conclusion

2 Our approach: game theory + evolutionary dynamics = ultimate explanation for people’s puzzling preferences and ideologies Ask: why do we need each piece? Talk about proximate vs. ultimate distinction with examples

3 We started by learning to analyze games…

4 Components of a game: Players E. g
Components of a game: Players E.g., animals, people, firms, countries Strategies E.g., attack Syria, feed brother, have sons Payoffs E.g., offspring, $, happiness Depend on Your strategy Others’ strategies

5 For example… Prisoners’ Dilemma
b-c, b-c -c, b b, -c 0, 0 C D c>0 is the cost of cooperation b>c is the benefit if partner cooperates

6 We solve using Nash equilibrium Nash equilibrium specifies a strategy pair such that no one benefits from deviating… … provided no one else deviated I.e., ceteris parabus, or holding everyone’s actions fixed

7 C D Prisoners’ Dilemma b-c, b-c -c, b b, -c 0, 0
* * * * c>0 is the cost of cooperation b>c is the benefit if partner cooperates

8 So that we could apply those games to our applications, we also learned some dynamics…

9 We consider a large population, , of players Each period, a player is randomly matched with another player and they play a two-player game

10 Each player is assigned a strategy
Each player is assigned a strategy. Players cannot choose their strategies

11 We can think of this in a few ways, e.g.,:
Players are “born with” their mother’s strategy (ignore sexual reproduction) Players “imitate” others’ strategies Note that rationality and conscious deliberation don’t enter the picture

12 This is the replicator equation:
Growth rate of A Work through a numerical example. E.g., the "battle of the sexes" coordination game, with opera and soccer, payoffs (2,1) and (0,0) and (1,2) Current frequency of strategy Own fitness relative to the average This is our key property. More successful strategies grow faster

13 We are interested in states where since these are places where the proportions of A and B are stationary We will call such points steady states

14 Recall the payoffs of coordination game:
b c d A B a > c b < d

15

16 Next, let’s do a brief overview of the models we focused on: Hawk-Dove Costly Signaling Repeated-PD CWOL Higher Order Beliefs

17 Hawk-Dove Puzzle What do we mean by ‘mine’ and ‘thine’? Model Competing over scarce resource, simultaneously choose hawk or dove It is an equilibrium to attend to uncorrelated asymmetries, such as who arrived first Provided object not too valuable, uncorrelated asymmetry is evident Key insights ‘Mine’ = I play Hawk If expect other to use uncorrelated asymmetry, you should also

18 Costly Signaling Puzzle Why do North Indians find long fingernails beautiful? Why do we find white shoes beautiful? Where does our sense of beauty come from? Model Two kinds of senders: low/high Can’t convey quality; can send otherwise useless signals of different “strengths” Receivers decide whether to match w/ senders based on signal It is an equilibrium for senders to send these wasteful signals Key insight We find costly signals beautiful

19 Repeated Prisoner’s Dilemma
Puzzle Why do we give so much, but “weirdly”? Model Can pay cost c to benefit other by b; c < b Repeat w/ probability δ Any cooperative equilibrium has two traits: reciprocity and b/c < δ Key insight Altruistic preferences implement cooperative equilibrium; they exhibit these two traits AND not other traits, like efficiency

20 Cooperating Without Looking
Puzzle Why are people principled? Why do we care about thoughts, not just actions? Model (Envelope Game) Low or high temptation chosen Player 1 chooses whether to look at temptation Player 1 chooses whether to cooperate Player 2 chooses whether to continue CWOL/Attend to Looking is a Nash equilibrium Key Insight People that don’t look can be trusted. Principles, taboos, etc. keep us from looking ----- Meeting Notes (12/9/15 09:47) ----- Add conditions: large, rare, harmful

21 Higher Order Beliefs Puzzles Why do we consider omission less bad than commission? Why do we care so much about symbolic gestures? Why do we use innuendos? Why do we have norms against chemical weapons? Model In game with multiple equilibria, condition behavior based on higher order beliefs, not first order Can only condition behavior on events that are ‘evident’ (are sufficiently highly believed at higher orders) Key Insights An act of commission is evident but an act of omission is not Symbolic gestures are evident Innuendo is not evident Discrete norms condition behavior on events that are evident

22 We provided evidence for these explanations from a variety of sources For example…

23 Animal evidence

24 Examples from history, current events, literature, media

25 Laboratory experiments

26 Field experiments

27 Simulations

28 Taught us about… -rights -emotions -beauty -altruism -symbolism -ethics -communication Not just post-hoc explanation (clarity), but also… -novel predictions -prescriptions

29 Examples of debates the framework clarifies: Is beauty completely culturally construed? Can altruism ever be “authentic”? Or is it always self-interested? Why do people treat rights as inalienable? Who’s right? Deontologists or utilitarians?

30 Examples of new predictions: The uncorrelated asymmetries we condition rights on have to be evident (e.g., not size but who comes first) We will care if people are “principled” when temptation is rare and harmful

31 Examples of new policy implications: Taboos should not be respected in public policy Domestic law should ignore omission/commission

32 In short… game theory + evolutionary dynamics = awesome


Download ppt "Conclusion."

Similar presentations


Ads by Google