"La Emergencia de classes en un model multiagent"

Robert L. Axtell, Joshua M. Epstein and H. Peyton Young
CSED Working Paper No. 9
February 2000

Abstract

La idea essencial és es

 The essential idea is to show how norms can emerge spontaneously at the social level from the decentralized interactions of many individuals that cumulate over time into a set of social expectations. Due to the self-reinforcing nature of the process, these expectations tend to perpetuate themselves for long periods of time, even though they may have arisen from purely random events and have no a priori justification. We show that social expectations gravitate to one of three conditions: i) an equity norm in which property is shared equally among claimants, and there are no "class" distinctions; ii) a discriminatory norm in which the claimants get different amounts based on observable characteristics that have become socially salient (but are fundamentally irrelevant); and iii) fractious states in which norms of distribution have failed to coalesce, resulting in constant disputes and missed opportunities.

 

 

 

 

How the model works

Each time period contains a number of matches. In each match, one pair of agents is drawn at random from the population to bargain with each other for a share of unspecified goods. To simplify the analysis, each agent can make just three possible demands: Low (30 percent of the pie), Medium (50 percent), and High (70 percent).

Agents remember their previous games and form according expectations about their opponent's demands. An agent will assume that the probability of the current opponent demanding a Low (L), Medium (M), or High (H) share is equal to the relative frequency with which her previous opponents made these demands, and plays accordingly. But with some relatively small probability, e, she selects her demand randomly. Her behavior is thus a kind of 'noisy best reply' to her past experience:

  • With probability 1 - e an agent makes a demand that maximizes her expected payoff given her expectations about the opponent's behavior. If several demands maximize expected payoff, they are chosen with equal probability.
  • With probability e the agent does not optimize, but chooses one of the three demands, H, M, or L, at random.

These rules for matching, belief formation, and behavior define a particular social dynamic as a function of the population size N, memory length m, and error rate e.

For more detailed information, see the paper.

 
Figure 2: Convergence to the Equity Norm

Suppose for example that N = 100, m = 10 and e = 0.2, and the initial state is random about the point of indifference between the three strategies. After 80 periods, all agents have encountered frequent demands of M in the past, and thus they expect their opponents to play M in the next period. Given this expectation, M is the best response. Hence most agents play M next period, which reinforces the expectation of M. However, by a process we do not model explicitly, agents occasionally deviate from best reply and play either H or L. This may occur due to random errors, conscious experimentation, simple imitation or for any number of other reasons. This is analogous to mutation in biological models and serves to create variety in the population.

If the process is allowed to continue, the probability is high that most agents will remain in the light gray region for quite a long period of time. This is because the equity norm has a large basin of attraction, and even substantial deviations caused by random 'mutations' in individual behavior may not be enough to tip society into a fundamentally different regime. Nevertheless such tipping events will eventually occur, and they can lead to regimes that have a fundamentally different character.

Figure 3: Emergence of a fractious state

In this fractious state, people at each instant are either aggressive or passive; they have not learned to compromise. But while this is an inefficient state, it does not exhibit classes, because agents frequently migrate between zones.

Figure 6: Equity between and within types
Intra-type (left); Inter-type (right)

At this point the process has reached a state where something close to the equity norm prevails both between and within groups. In particular, the process is in the basin of attraction of the equity norm for dark against dark, light against light, and light against dark. Average payoffs in this regime are high, because most agents succeed in dividing the pie rather than fighting over it.

 

Figure 7: Equity between, but not within, types
Intra-type (left); Inter-type (right)

This model begins from a different random initial conditions. Internally, the darks (black dots) come close to the equity norm while the lights (gray dots) are still in a fractious state. However, something close to the equity norm prevails between the lights and the darks.

 

Figure 8: Equity within, but not between, types
Intra-type (left); Inter-type (right)

In this case the process evolves fairly rapidly (after 225 periods) to a state in which the equity norm holds within each group, whereas a discriminatory norm governs relations between the two groups. When agents meet others of their own type, most of them expect to divide the pie in half. But when a dark agent meets a light agent, the darks act aggressively and the lights act passively. The result is that, on average, the payoff to dark agents (70) is over twice as high as it is to light agents (30). In other words, class distinctions have emerged endogenously.

 

Figure 9: Equity above, division below
Intra-type (left); Inter-type (right)

 

The final case is to us the most interesting. Starting from a different random initial state, society evolves after 260 periods to the state shown in Figure 9. As evident in the right (inter-type) simplex, the darks dominate the lights. However, from the left simplex, it is clear that the equity norm prevails within the dominant darks while the lights are a fractious society. This, then, is the picture of a divided underclass oppressed by a unified elite. This result seems particularly disturbing in that every individual is behaving rationally -- playing the best reply strategy -- and yet the social outcome is far from optimal.

 

Because these models run under JDK 1.1, they may not be compatible with your browser. If you have a problem, or if this is your first time running one of our JAVA models, see our main models page.

 

http://www.brook.edu/ES/dynamics/models/classes/