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Bulo and Pelillo [18] describes hypergraph clustering using evolutionary games.
First, an algebraic expression is formulated for the given networked evolutionary games, based on which, the behavior of corresponding evolutionary games is analyzed.
Finally, the obtained results are applied to the strategy consensus of networked evolutionary games with memories.
To understand it, we must extend our attention to evolutionary games.
Moreover, the semitensor product method has also been applied to networked evolutionary games [24, 25] and feedback shift registers [26].
Combining evolutionary games with adaptive networks, an entangled model between strategy evolution and structure adaptation is researched in this paper.
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This third way is evolutionary game-theory.
Artificial Intelligence 171 (7) (2007) 365 377, this issue] from the perspective of evolutionary game theory.
We briefly discuss the concepts of evolutionary game theory, and examine the main conclusions from [Y.
There are two approaches to evolutionary game theory.
Much work in evolutionary game theory embodies this approach.
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