Decision-Making, Optimization, and Data Analysis: In Honor of Fuad Aleskerov’s 75th Birthday (en Inglés) - Boris Goldengorin

This book reflects on the pioneering research directions of Professor Fuad Aleskerov and his collaborators, showcasing cutting-edge mathematical modeling in social, economic, and political systems. From choice models to global trade networks and disaster response protocols, this volume explores collective and individual decision-making, game-theoretic models, and data analysis, offering a comprehensive view of their diverse applications.

Key concepts include the vulnerability of scoring run-off rules, the impact of irrelevant alternatives on choice behavior, and the robustness of paradoxes under scoring rules. The book also delves into logical aggregation rules, consensus methods, and the dynamics of Q-learning in repeated games. Readers will encounter a rich tapestry of topics, such as deterministic cooperative game theory, fair division, and the convergence of agent policies, all examined through the lens of expert contributors.

Ideal for researchers, scholars, and students in fields related to applied optimization and decision-making processes, this book serves as a valuable resource for understanding the complexities of human behavior in various contexts. Whether you're an undergraduate taking your first steps or a seasoned professional, this collection offers insights that will enhance your understanding of mathematical modeling and its real-world implications.