1st Edition
Modeling Practical Problems in Complex Systems Simulation, Forecasting, and Management
Chapter 1 COMPLEX SYSTEMS AND PREDICTABILITY Chapter 2 NONLINEAR DYNAMICS Chapter 3 EVOLUTIONARY DYNAMICS Chapter 4 POPULATION DYNAMICS APPROACHES TO ECONOMICS AND FINANCE Chapter 5 A PROBABILISTIC FRAMEWORK FOR PREDICTABILITY BASED ON INFORMATION THEORY Chapter 6 FORECASTING METHODS FOR COMPLEX SYSTEMS Chapter 7 CONTROL AND MANAGEMENT OF COMPLEX SYSTEMS: PRACTICAL EXAMPLES IN AGRICULTURE & ENVIRONMENTAL SCIENCE Chapter 8 THE LIMITS OF PREDICTABILITY THROUGH MATHEMATICS AND COMPUTATION
Biography
Hugo Fort is a professor at the Department of Physics of the Faculty of Sciences at the University of the Republic (Montevideo, Uruguay) and the Head of the Complex Systems Group. After earning his PhD in Physics from the Autonomous University of Barcelona in 1994, he conducted research in quantum field theory. Since 2001, his scientific interests have evolved from theoretical physics to complex systems and mathematical modeling applied to problems in biology, with a focus on ecology and evolution. Professor Fort is currently involved in several international research collaborations pursuing user-inspired basic science applied to problems of production optimization and conservation. He has written two books, Ecological Modelling and Ecophysics (2020) and Forecasting with Maximum Entropy: The interface between physics, biology, economics and information theory (2022); he is also the author of over 100 articles in scientific journals and book chapters in diverse fields including agricultural sciences, applied mathematics, biology, ecology, physics, and social sciences modeling. Professor Fort has taught several courses in mathematical modeling, complex systems, nonlinear dynamics, and statistical physics. He has also been collaborating on different projects with national agencies as a senior scientific consultant.
