According to Jim Rutt, an attractor can be described as a fundamental concept within the realm of dynamical systems theory, where it represents a set of numerical values toward which a system tends to evolve over time, regardless of the system's starting conditions. Rutt emphasizes that attractors can be visualized in various forms such as points, loops, and intricate fractal structures known as strange attractors. These attractors are pivotal in understanding the long-term behavior of complex systems, from weather patterns and planetary orbits to ecosystems and economic models. By studying attractors, Rutt articulates, researchers can uncover the underlying order within seemingly chaotic processes, providing critical insights into the predictability and stability of dynamical systems.

See also: emergence, evolutionary computing, antifragile, prigogine