: Implementing genetic algorithms and basic neural networks to create learning digital entities. Versions and Platforms
: Simulating forces such as gravity, wind, and friction. The Nature of Code: Simulating Natural Systems ...
: Exploring cellular automata, fractals, and self-organization. : Implementing genetic algorithms and basic neural networks
is a seminal book and educational project by Daniel Shiffman , an Assistant Arts Professor at NYU’s ITP. It explores the intersection of computer programming and the natural world, teaching readers how to create digital simulations of complex phenomena like physics, evolution, and emergence. Core Concepts and Subjects and friction. : Exploring cellular automata
: Modeling flocking birds, steering behaviors, and pathfinding.
The book bridges the gap between creative expression and scientific simulation. Key topics include:
: Using vectors, trigonometry, and oscillations to create lifelike movement.