Partial Information, Noise and Network Topology in 2x2 Games with Memory

Partial Information, Noise and Network Topology in 2x2 Games with Memory
Author :
Publisher :
Total Pages : 102
Release :
ISBN-10 : OCLC:773348982
ISBN-13 :
Rating : 4/5 (82 Downloads)

Book Synopsis Partial Information, Noise and Network Topology in 2x2 Games with Memory by : Mathis Aurelius Antony

Download or read book Partial Information, Noise and Network Topology in 2x2 Games with Memory written by Mathis Aurelius Antony and published by . This book was released on 2011 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Partial Information, Noise and Network Topology in 2x2 Games with Memory Related Books

Partial Information, Noise and Network Topology in 2x2 Games with Memory
Language: en
Pages: 102
Authors: Mathis Aurelius Antony
Categories: Algorithms
Type: BOOK - Published: 2011 - Publisher:

DOWNLOAD EBOOK

Fundamentals of Evolutionary Game Theory and its Applications
Language: en
Pages: 223
Authors: Jun Tanimoto
Categories: Business & Economics
Type: BOOK - Published: 2015-10-23 - Publisher: Springer

DOWNLOAD EBOOK

​This book both summarizes the basic theory of evolutionary games and explains their developing applications, giving special attention to the 2-player, 2-stra
The Mathematics of Chip-Firing
Language: en
Pages: 296
Authors: Caroline J. Klivans
Categories: Computers
Type: BOOK - Published: 2018-11-15 - Publisher: CRC Press

DOWNLOAD EBOOK

The Mathematics of Chip-firing is a solid introduction and overview of the growing field of chip-firing. It offers an appreciation for the richness and diversit
Information, Physics, and Computation
Language: en
Pages: 584
Authors: Marc Mézard
Categories: Computers
Type: BOOK - Published: 2009-01-22 - Publisher: Oxford University Press

DOWNLOAD EBOOK

A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information th
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti