Evolutionary Game Dynamics: Agent Based Methods

-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.-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.-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.-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.-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.

• | Author: Jack Williams
• | Publisher: Knowledge Bakers
• | Publication Date: Dec 01, 2024
• | Number of Pages: 214 pages
• | Binding: Hardback or Cased Book
• | ISBN-10: 9390013291
• | ISBN-13: 9789390013296