Explore the forefront of economic theory with “Economic Complexity: Non-Linear Dynamics, Multi-Agents Economies, and Learning.” This collection, from the International Symposia in Economic Theory and Econometrics series, showcases sixteen peer-reviewed papers from the COMPLEXITY2000 workshop. Dive into innovative economic thinking inspired by fields like physics, biology, and computer science. Discover advanced contributions on chaotic dynamics, agent-based models, genetic algorithms, non-equilibrium macro-dynamics, and learning mechanisms. A must-read for economists and researchers seeking interdisciplinary insights into complex economic and social systems.