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Evolutionary Game Dynamics: Agent Based Methods
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Evolutionary Game Dynamics: Agent Based Methods in Franklin, TN
Current price: $70.00
Barnes and Noble
Evolutionary Game Dynamics: Agent Based Methods in Franklin, TN
Current price: $70.00
Loading Inventory...
Size: OS
-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.
-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.
-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.
-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.
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