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Groups of Agents with a Leader
# u5 E! b/ @" b1 I% B Journal of Artificial Societies and Social Simulation vol. 10, no. 4 part35 共292字,请翻译。( f* _* y$ k3 L8 k% }
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4.13 Leadership has many different aspects and functions. We have defined a leader as an individual whose behavior tends to be imitated by followers. In this sense, leadership is a quantitative variable. In each cycle of our simulations, followers move in a direction which is exactly halfway between the direction they would have taken in the absence of the leader and the direction to which leader has moved. In this case, therefore, "leadership" has a value of 50%. If followers imitated the leader too closely, i.e., if the value of leadership were too close to 100%, this would have a detrimental effect: the group of agents would behave as if it were a single agent, i.e., the leader, and would no longer spread out to explore the space of possible solutions. 7 C: M- {. P3 O) V7 M4 S
4.14 But leaders are not only individuals that are imitated by their followers. For example, they can also be individuals that tell other individuals what to do—and are obeyed—even if what followers have to do is different from what the leader does. Another difference between our simulations and the real world is the way agents cooperate. In the simulations, cooperation is guaranteed. Given that individual agents are only rewarded if all the agents in the group reach the target and that movement has no cost, there is no possibility of free riding. But if an agent can get some reward by individually reaching the target or movement has a cost, free riding is a real possibility: an agent may fail to communicate the location of the target to the other agents or may wait to learn the location of the target before moving. In these conditions, one of the role of the leader would be to discover and punish free riding. |