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Decision making with imperfect decision makers

Tatiana Valentine Guy, Miroslav Karny, David H. Wolpert, editors ([Springer, ], 2012)

 Abstrak

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.
To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.

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 Metadata

No. Panggil : e20398180
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Berlin: [Springer, ], 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xiv, 194 pages : illustration
Tautan: http://link.springer.com/book/10.1007%2F978-3-642-24647-0
Lembaga Pemilik:
Lokasi:
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No. Panggil No. Barkod Ketersediaan
e20398180 02-17-133707711 TERSEDIA
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