SURVEY ON APPLICATIONS OF SEMI-TENSOR PRODUCT METHOD IN NETWORKED EVOLUTIONARY GAMES | Zendy

Guodong Zhao | Zendy; Haitao Li | Zendy; Peiyong Duan | Zendy; Fuad E. Alsaadi | Zendy

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SURVEY ON APPLICATIONS OF SEMI-TENSOR PRODUCT METHOD IN NETWORKED EVOLUTIONARY GAMES

Author(s) -

Guodong Zhao,

Haitao Li,

Peiyong Duan,

Fuad E. Alsaadi

Publication year - 2020

Publication title -

journal of applied analysis and computation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.55

H-Index - 21

eISSN - 2158-5644

pISSN - 2156-907X

DOI - 10.11948/20180201

Subject(s) - computer science , tensor product , evolutionary game theory , evolutionary algorithm , theoretical computer science , game theory , artificial intelligence , mathematics , mathematical economics , pure mathematics

Semi-tensor product (STP) method of matrices has received more and more attention from the communities of both engineering and economics in recent years. This paper presents a comprehensive survey on the applications of STP method in the theory of networked evolutionary games. In the beginning, some preliminary results on STP method are recalled. Then, the applications of STP method in many kinds of networked evolutionary games, such as general networked evolutionary games, networked evolutionary games with finite memories, networked evolutionary games defined on finite networks, and random networked evolutionary games, are reviewed. Finally, several research problems in the future are predicted.

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