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Agent-Based Modeling (ABM) as a category for books encompasses works that explore the computational modeling technique used to simulate the actions and interactions of autonomous agents, with a view to assessing their effects on the system as a whole. This genre includes theoretical foundations, practical applications, and case studies across various fields such as economics, social sciences, ecology, and complex systems. Books in this category often delve into the methodologies for designing, implementing, and analyzing agent-based models, offering insights into how individual behaviors and decision-making processes can lead to emergent phenomena at the macro level. Readers can expect to find both introductory texts that explain the basic principles and advanced works that discuss sophisticated modeling techniques and applications in real-world scenarios.

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