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This book deals with the most fundamental and essential
techniques to simulate complex systems, from the dynamics of molecules to the
spreading of diseases, from optimization using ant colonies to the simulation
of the Game of Life.
Several natural systems found in physics, biology and
engineering can be considered complex systems, because their behaviour is not
easily predictable and is the result of complex interactions among their
constituents. Examples of complex systems are a cell with its organelles, an organ,
the human brain, social networks, transportation and communication systems, the
stock market, ecosystems, systems with prey and predators, a swarm of bees.
There are several specialized books focusing on different
simulation methods, but there is not one fully devoted to complex systems. The
“bottom-up” approach is innovative and allows the reader to conduct numerical
experiments to explore the system’s behaviour.
Key Features
1.
Composed of self-contained,
independent chapters
2.
Illustrates simulation
techniques in a broad range of fields from physics and biology to engineering,
social science and economics
3.
Provides a hands-on
approach with guided exercises
4.
Covers the fundamental
numerical techniques in complex systems
5.
Ideal for self-study
6.
Contains supplementary
example codes and video tutorials
