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Ein Kurs in Netzwerken und Märkten: Spieltheoretische Modelle und Argumentation (Mit Press-
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“LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.”
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Standort: McKeesport, Pennsylvania, USA
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eBay-Artikelnr.:267422945420
Artikelmerkmale
- Artikelzustand
- Neuwertig
- Hinweise des Verkäufers
- “LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.”
- ISBN
- 9780262039789
Über dieses Produkt
Product Identifiers
Publisher
MIT Press
ISBN-10
0262039788
ISBN-13
9780262039789
eBay Product ID (ePID)
24038283167
Product Key Features
Number of Pages
264 Pages
Language
English
Publication Name
Course in Networks and Markets : Game-Theoretic Models and Reasoning
Publication Year
2019
Subject
Game Theory, Web / Social Media, Networking / General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
27.1 Oz
Item Length
9.3 in
Item Width
8.2 in
Additional Product Features
Intended Audience
Trade
LCCN
2018-034823
TitleLeading
A
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
330.01/5193
Synopsis
A graduate-level, mathematically rigorous introduction to strategic behavior in a networked world. This introductory graduate-level text uses tools from game theory and graph theory toexamine the role of network structures and network effects in economic and information markets. The goal is for students to develop an intuitive and mathematically rigorous understanding of how strategic agents interact in a connected world. The text synthesizes some of the central results in the field while also simplifying their treatment to make them more accessible to nonexperts. Thus, students at the introductory level will gain an understanding of key ideas in the field that are usually only taught at the advanced graduate level. The book introduces basic concepts from game theory and graph theory as well as some fundamental algorithms for exploring graphs. These tools are then applied to analyze strategic interactions over social networks, to explore different types of markets and mechanisms for networks, and to study the role of beliefs and higher-level beliefs (beliefs about beliefs).Specific topics discussed include coordination and contagion on social networks, traffic networks, matchings and matching markets, exchange networks, auctions, voting, web search, models of belief and knowledge, and how beliefs affect auctions and markets. An appendix offers a "Primer on Probability." Mathematically rigorous, the text assumes a level of mathematical maturity (comfort with definitions and proofs) in the reader., A graduate-level, mathematically rigorous introduction to strategic behavior in a networked world. This introductory graduate-level text uses tools from game theory and graph theory to examine the role of network structures and network effects in economic and information markets. The goal is for students to develop an intuitive and mathematically rigorous understanding of how strategic agents interact in a connected world. The text synthesizes some of the central results in the field while also simplifying their treatment to make them more accessible to nonexperts. Thus, students at the introductory level will gain an understanding of key ideas in the field that are usually only taught at the advanced graduate level. The book introduces basic concepts from game theory and graph theory as well as some fundamental algorithms for exploring graphs. These tools are then applied to analyze strategic interactions over social networks, to explore different types of markets and mechanisms for networks, and to study the role of beliefs and higher-level beliefs (beliefs about beliefs). Specific topics discussed include coordination and contagion on social networks, traffic networks, matchings and matching markets, exchange networks, auctions, voting, web search, models of belief and knowledge, and how beliefs affect auctions and markets. An appendix offers a "Primer on Probability." Mathematically rigorous, the text assumes a level of mathematical maturity (comfort with definitions and proofs) in the reader.
LC Classification Number
HB144.P37 2019
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