Evolutionary Game Dynamics

<p>•Provides an overview of the book and introduces the concept of agent-based modeling in the context of evolutionary game dynamics and introduces the reader to the basics of agent-based modeling and evolutionary game dynamics.</p><p>•Explores the behaviour of agents when they are connected in a network rather than a grid. This chapter examines the impact of different revision protocols and payoff functions on the behavior of agents.</p><p>•Focuses on the formation of networks as an endogenous process that arises from the interactions among agents and also deals with games involving more than two populations.</p><p>•Introduces a technique for solving the mean dynamics of a system at runtime also provides a summary of the models presented in the book including their key features and results.</p><p>•It is primarily aimed at researchers students and professionals interested in the fields of game theory evolutionary dynamics and agent-based modeling. It is also relevant to those working in related areas such as computational social science artificial intelligence and complexity science.</p>