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Title |
Processing with networks and group selection |
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Author |
Zajac Jaroslav |
| Citation |
Vol. 6 No. 2 pp. 132~141 |
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Abstract |
We analyze how the decisions of agents contribute to network formation. Incentives promote effort and performance, and there is a lot of evidence that they do. Given that incentives work quite effectively in many instances, and the agent who faces uncertainty about his payoff from taking a particular action. The agent will undertake the task only if he has sufficient confidence in his own ability to succeed, and in the project’s net return. Agents with a stake in his performance have incentives to manipulate signals relevant to his self-knowledge. We model the agent as an information processing network that is capable of learning a data set of environmental variables. |
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Keywords |
hierarchy, organization and learning, random walk |
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