- We will send in 10–14 business days.
/images/books/15081311/9789390013296.jpg)
- Author: Jack Williams
- Publisher: Knowledge Bakers
- ISBN-10: 9390013291
- ISBN-13: 9789390013296
- Format: 21.6 x 27.9 x 1.3 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
-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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 14d.17:43:56
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Jack Williams
- Publisher: Knowledge Bakers
- ISBN-10: 9390013291
- ISBN-13: 9789390013296
- Format: 21.6 x 27.9 x 1.3 cm, hardcover
- Language: English English
-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.
Reviews