Focusing on the dynamics of complex systems, this book introduces agent-based modeling as a technique to explore how individual agents' behaviors contribute to overarching patterns in biological and social contexts. It equips students and scientists with the necessary skills to design, implement, and analyze these models, fostering a deeper understanding of system interactions and emergent phenomena.
Focusing on individual-based models, this book delves into how these computational tools enhance our understanding of ecological systems by examining the interactions among individuals and their environments. It offers a comprehensive exploration of individual-based modeling, presenting it as a vital method for developing theoretical insights into population and ecosystem ecology. The authors introduce the concept of "individual-based ecology," emphasizing its significance in advancing ecological research and theory.