Artikel

Incentives in supervised teams : an experimental and computational approach /

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Penilaian

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A carefully designed experimental procedure may be an invaluablesource for gathering empirical data and a key to grasp the heterogeneity of human behavior, which is of the utmost importance when modeling artificial agents. We consider a model of organization where heterogeneous agents interact in a supervised team. After providing a theoretical analysis of the agents' interaction, we describe the experimental setting we used to observe human subject interactions in a similiar situation. Finally, we consider an agent-based simulation wherethe agents exhibit some of the behavioral components emerged in human subject experiment. The results we obtain allow to emphasize the importance of incorporating experimental data when modeling artificial agents in order to shed light on the complexcity of human interactions.yo.

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Informasi Detail

Judul Seri

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No. Panggil

J 300 Soc

Penerbit

: .,

Deskripsi Fisik

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Bahasa

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Social Complexity3, Nomor 1, 200737-52

Subjek

bounded rationality
Experiments
Agent Behavior
Incentives
Grounded Theory

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