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Norms and Development: Interdisciplinary Approach

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Title: Norms and Development: Interdisciplinary Approach


1
Norms and DevelopmentInterdisciplinary Approach
  • Week 2
  • Explaining Social Norms I
  • Evolutionary Perspective

2
A Story of Mr. RATIONAL
  • One day, he had his wallet (50) stolen on the
    street. As he is a very busy and successful
    businessman, its just a waste of time to try to
    get it back. He quickly estimated the cost for
    recovering the wallet is more than 200. He is so
    clever and rational, he didn't chase the thief.

3
  • If the thief realizes that hes a rational
    person, he will be a sucker for the thief in
    future

4
A Story of Mr. EMOTIONAL
  • He is a successful businessman but known as very
    quick-tempered person. When he had his wallet
    stolen, his temper flared up and started to chase
    the thief. He is not calculating the cost of
    chasing anymore. Hes like an animal just driven
    by anger

5
  • If the thief knows that he never gives up
    chasing until he gets a wallet recovered, hell
    never be a sucker for the thief.

6
Passions Within Reason by Robert H. Frank (1989)
  • In the world, there are many situations in which
    it is worse to try to be rational.
  • Emotion, that are considered to be a
    representative of human irrationality, can
    maximize self-interest that cannot be achieved by
    rational individuals

7
  • Huh?
  • Being irrational is rational?
  • Being rational is irrational?

8
The Limit of Rationality
Action
Consequence at time t
  • Total consequences of an action
  • the sum of consequence at each time

9
Forward vs. Backward Rationality
  • Rationality maximization of self-interest
  • Forward Rationality evaluation of the action
    before the action is taken ? with practical and
    logical reasons, the range of maximization is
    myopically limited.
  • Backward Rationality evaluation of the action
    long after the action was taken.

10
Action
11
Some Terminological Issues
  • The term optimization implicitly assumes
    forward rationality.
  • Backward rationality seems to be optimizing. But,
    remember that, when an agent with backward
    rationality takes the action that was optimum in
    the past, it may not be optimum anymore in future
    (e.g., what if the consequence of the action is
    evaluated at the time t 200?).

12
Mechanisms of Backward Rationality
  • Genetic Evolution
  • Successful genotypes spread in a population via
    Darwinian selection.
  • Individual Learning
  • Trial and error increases the proportion of
    successful behaviors within individuals.
  • Social Learning
  • Successful behaviors/traits spread in a
    population via imitation.

13
  • Evolutionary processes are the mechanisms
    acquiring the behaviors that are backwardly
    rational and emancipate us from the myopic
    forward rationality.
  • This is exactly the reason why we pay attention
    to the evolutionary processes as initial
    candidates explaining human behaviors that
    contradict with the principle of
    forward-rationality.

14
  • We do NOT argue that all the human behaviors are
    genetically encoded and selected by genetic
    evolution.
  • We do NOT believe in that evolutionary processes
    (in general) can explain everything in the world.
  • We are just arguing that, when we find human
    behaviors that look like conflicting with
    self-interest, it is a simple and parsimonious
    research strategy to check the possibility that
    such behaviors are the product of backward
    rationality.

15
Roadmap
  • Key issues in evolutionary processes
  • Report on Axelrod (1986)
  • What lacks in evolutionary perspective?
  • Discussion

16
Social Learning Random Imitation
  • Lets consider social learning.
  • Individuals in the population has a trait (A or
    B). A is more beneficial than B.
  • An individual (social learner) randomly picks
    another individual (target) and just imitate the
    targets trait.

17
Random social learning does not increase an
adaptive trait in a population.
18
Social Learning Majority-Biased Imitation
  • Lets consider social learning.
  • Individuals in the population has a trait (A or
    B). A is more beneficial than B.
  • Imagine that an individual (social learner)
    randomly picks three other individuals (targets).
    If majority of the targets has the trait X, the
    learner just imitates it. Otherwise, dont
    imitate.

19
Majority-biased social learning just increases
initially popular trait (but not an adaptive
trait in this case).
20
Social Learning Payoff-Biased Imitation
  • Lets consider social learning.
  • Individuals in the population has a trait (A or
    B). A is more beneficial than B.
  • Imagine that an individual (social learner)
    randomly picks another individual (target) and
    imitate the targets trait only when the benefit
    of the target received in the past is larger than
    the benefit the learners received. Otherwise, he
    doesn't imitate the trait.

21
Payoff-biased social learning increases the
proportion of an adaptive trait.
22
  • Social learning is a catch-all word. Be careful
    when you use this word. When we say evolution is
    an analogy of social learning, it means
    payoff-biased social learning.
  • Other types of social learning and their roles
    are discussed next week

23
Equilibrium and Path Dependency
  • As a result of evolutionary processes, a society
    may reach at stable states in which no one can
    get better outcome by changing the behaviors
    evolutionarily stable equilibrium.
  • There may be multiple equilibriums existing. In
    such a case, history matters path dependency.

24
An Example Coordination Game
  • Individuals are randomly matched with another
    individual and play the game.
  • Evolutionary processes increase the proportion of
    adaptive strategy.

25
Very small initial difference results in totally
different society. Once a society is set on a
different path, it cannot escape from the
self-reinforcing processes
26
Implications of Multiple Equilibriums
  • Individuals with totally identical mentality or
    psychology may create totally different
    societies.
  • Differences between societies cannot be easily
    reduced into the differences in the psychological
    mechanisms.
  • Consider the article in the Guardian. Why the
    people, who are considered to be kind and nice,
    are so messy in queuing?

27
When Socially Harmful Norms Persist or Disappear
An Evolutionary Explanation
Equilibrium B
Equilibrium A
1. Because a society is in stable equilibrium,
small perturbation cannot easily move it to
another equilibrium.
Stable equilibrium
28
When Socially Harmful Norms Persist or Disappear
An Evolutionary Explanation
Equilibrium B
Equilibrium A
1. Because a society is in stable equilibrium,
small perturbation cannot easily move it to
another equilibrium.
Stable equilibrium
29
2. If a norm that was socially beneficial in the
past is transformed into socially harmful norm,
the equilibrium may become less stable. This will
enhance a society moves to another stable
equilibrium.
Equilibrium A
Equilibrium B
30
3. However, a society continues to stay in the
same place until when accumulated perturbation
creates very large shock. It is just because a
harmful norm is still a stable equilibrium.
Equilibrium A
Equilibrium B
31
Summary
  • Evolutionary processes have a potential for
    explaining 1) seemingly irrational behaviors and
    2) cultural/societal differences with the single
    principle of backward rationality.
  • Thus, evolutionary processes may save us from the
    tyranny of infinite numbers of cultural-specific
    psychological concepts
  • We focus on evolutionary processes not because it
    can explain everything but because it is a simple
    and parsimonious starting point.

32
Game Theory vs. Evolutionary Game Theory?
  • Q. Forward rationality assumed in game theory is
    like Laplacean-demon. Does game theory make the
    same prediction with evolutionary game theory
    that assumes backward rationality?
  • A. Yes (but not always). Just remember that
    evolutionary game theory investigates the dynamic
    processes in which a society changes, and game
    theory investigates where a society reaches as a
    result of dynamic evolutionary processes.

33
  • Lets move to Axelrod (1986) that first applied
    evolutionary perspective for explaining WHY
    social norms exist.

34
Whats Wrong About Axelrod (1986)?
  • The model makes the critical assumption that a
    players vengefulness against nonpunishment is
    the same as the players vengefulness against an
    original defection. (p. 1102, left column).
  • ? If this linkage is removed, social norms cannot
    evolve.

35
FF
PP
Step 1 Step 2 Step 3
cooperate punish punish
cooperate free ride free ride
  • PP is better than FF as FF is punished in both
    steps 2 and 3.
  • However, PF is better off than PP at step 3. If
    PF dominates PP, then FF can invade and this
    results in the evolution of free riders at the
    step 1.

36
A Basic Model of Social Norm
  • Step 1. Norm-obedience
  • Step 2. Punishment of norm violators
  • Even if a social norm is beneficial to everyone
    (functional), it cannot solve the free-rider
    problem.

37
What Have We Learned?
  • Some mechanism that makes punishment (at least)
    less disadvantageous is necessary.

38
Why Free-Rider Problem Was Solved in Kameda et
al. (2003)?
  • The game structure is slightly different from a
    standard game of social norms ? the cost of
    punishment is very small in communal sharing
    norm.
  • Punishment results in the increase of immediate
    benefit ? non-acquirers can get a portion of
    resource from an acquirer (i.e., looting). This
    does not happen in standard game of social norms.

39
  • Another solution is to stop interacting with
    norm-violators (Aoki, 2001).
  • If people live in a small group and cannot escape
    to the outside, like small villages in mountains,
    punishment is cheap as it is sufficient to break
    the relations (i.e., helping in danger) with
    norm-violators.
  • It doesn't work, however, if mobility gets higher
    or group size gets larger. It is difficult to
    imagine other cases (except for the above two) in
    which punishment is so cheap

40
  • Summary and Conclusion

41
What Is Evolutionary Perspective?
  • This is a powerful and parsimonious perspective
    that can explain several (seemingly) conflicting
    phenomena with the single principle.
  • As three mechanisms composing evolutionary
    processes (individual/social learning and
    evolution) are important forces, evolutionary
    processes can be a kind of first-order
    approximation of social dynamics. See my talk at
    Ringberg.

42
What Lacks in Evolutionary Perspective?
  • However, it cannot explain the existence of
    punishment of norm-violators in many situations
    and thus insufficient for explaining social
    norms.
  • Furthermore, this approach tends to ignore
    psychological mechanisms underlying social norms.
    For instance, where's a room for (seemingly
    maladaptive) emotion, such as guilt/shame, that
    seem to be crucial for maintaining social norms?

43
Towards Cultural-Evolutionary Perspective
  • We tried to explain seemingly irrational
    behaviors only with the single principle. In the
    real world, however, several other forces are
    working.
  • Cultural-evolutionary perspective is the
    second-order approximation that provides answers
    to the above questions by incorporating other
    forces. Keep in mind that, however, this
    perspective has the strong basis on
    evolutionary-perspective.
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