Agents, Games, and Evolution: A Comprehensive Guide to the Dynamics of Intelligent Systems
In the realm of artificial intelligence (AI),agents are autonomous entities designed to interact with their environment and make decisions based on their goals. The study of agents and their interactions is known as agent-based modeling, which has gained significant traction in various research domains, including biology, economics, and social sciences.
Agents Games And Evolution is a comprehensive book that delves into the fascinating world of agents, games, and evolution. Authored by leading experts in the field, this book offers readers a deep understanding of the underlying principles and applications of this multifaceted topic.
4 out of 5
Language | : | English |
File size | : | 14071 KB |
Screen Reader | : | Supported |
Print length | : | 512 pages |
Fundamentals of Agent-Based Modeling
The book commences by laying a solid foundation in the fundamentals of agent-based modeling. It introduces the concept of agents and their different types, such as autonomous, semi-autonomous, and reactive agents. Readers are guided through the key elements of agent-based models, including the environment, interactions, and decision-making processes.
Detailed explanations are provided on agent-based modeling techniques, such as cellular automata and agent-based simulation. These techniques are widely employed in diverse fields, and the book offers practical insights into their applications.
Game Theory and Agent Interactions
Game theory plays a crucial role in understanding the interactions between agents. Agents Games And Evolution provides a comprehensive overview of game theory concepts, including cooperative and non-cooperative games, Nash equilibrium, and evolutionary game theory. Readers gain a profound understanding of how agents make decisions in strategic environments and the implications of their choices.
The book explores various types of games, including zero-sum, non-zero-sum, and multi-player games. It also examines the emergence of cooperation and altruism in agent-based models, shedding light on the evolution of complex social behaviors.
Evolution and Adaptation in Agent Systems
Evolutionary processes are central to the development and adaptation of agent systems. The book provides an in-depth analysis of evolutionary algorithms, genetic algorithms, and other evolutionary techniques used to optimize agent behavior and performance.
Readers are introduced to concepts of fitness landscapes, selection pressure, and genetic drift. The book demonstrates how evolutionary algorithms can enhance the problem-solving capabilities of agents and enable them to adapt to changing environments.
Applications and Case Studies
To illustrate the practical applications of agent-based modeling, Agents Games And Evolution presents a diverse collection of case studies from various domains. These case studies showcase the use of agents in simulating biological systems, economic markets, social networks, and multi-agent systems.
Readers gain hands-on insights into how agent-based models can be applied to address real-world challenges, such as disease spread, economic forecasting, and social policy analysis.
Agents Games And Evolution is an authoritative and comprehensive resource for anyone interested in the dynamics of intelligent systems. This book provides a deep understanding of agent-based modeling, game theory, and evolutionary algorithms, equipping readers with the knowledge and tools to design, analyze, and implement intelligent systems.
Whether you are a researcher, practitioner, or student, this book is an invaluable addition to your library. It offers a comprehensive exploration of the fascinating world of agents, games, and evolution, empowering you to harness the power of intelligent systems to solve complex problems and gain valuable insights into the behavior of dynamic systems.
4 out of 5
Language | : | English |
File size | : | 14071 KB |
Screen Reader | : | Supported |
Print length | : | 512 pages |
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4 out of 5
Language | : | English |
File size | : | 14071 KB |
Screen Reader | : | Supported |
Print length | : | 512 pages |