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Computation and complexity in economic behavior and organization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computation and complexity in economic behavior and organization // Kenneth R. Mount, Stanley Reiter.
其他題名:	Computation & Complexity in Economic Behavior & Organization
作者:	Mount, Kenneth R.,
其他作者:	Reiter, Stanley,
面頁冊數:	1 online resource (ix, 237 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Computational complexity. -
電子資源:	https://doi.org/10.1017/CBO9780511754241
ISBN:	9780511754241 (ebook)

Computation and complexity in economic behavior and organization /
Mount, Kenneth R.,

Computation and complexity in economic behavior and organization /Computation & Complexity in Economic Behavior & OrganizationKenneth R. Mount, Stanley Reiter. - 1 online resource (ix, 237 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This book presents a model of computing and a measure of computational complexity which are intended to facilitate analysis of computations performed by people, machines, or a mixed system of people and machines. The model is designed to apply directly to models of economic theory, which typically involve continuous variables and smooth functions, without requiring analysis of approximations. The model permits analysis of the feasibility and complexity of the calculations required of economic agents in order for them to arrive at their decisions. The treatment contains applications of the model to game theory and economics, including comparison of the complexities of different solution concepts in certain bargaining games, and the trade-off between communication and computation in an example of an Edgeworth Box economy.

ISBN: 9780511754241 (ebook)Subjects--Topical Terms:

527777
Computational complexity.

LC Class. No.: HB135 / .M744 2002

Dewey Class. No.: 330/.01/51

Computation and complexity in economic behavior and organization /
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520 $a This book presents a model of computing and a measure of computational complexity which are intended to facilitate analysis of computations performed by people, machines, or a mixed system of people and machines. The model is designed to apply directly to models of economic theory, which typically involve continuous variables and smooth functions, without requiring analysis of approximations. The model permits analysis of the feasibility and complexity of the calculations required of economic agents in order for them to arrive at their decisions. The treatment contains applications of the model to game theory and economics, including comparison of the complexities of different solution concepts in certain bargaining games, and the trade-off between communication and computation in an example of an Edgeworth Box economy.
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