Reseña

This volume, Foundations of Heuristic Decision-Making, introduces
the core principles and methodologies for understanding and managing
uncertainty in decision-making systems. It serves as an accessible
yet comprehensive resource for students, researchers, and
practitioners seeking to understand how decisions are made when
faced with incomplete information, probabilistic outcomes, or complex
trade-offs.
The book assumes a basic understanding of probability, calculus,
and algorithmic thinking. It is designed to provide both theoretical
grounding and practical insights into how heuristic methods are used
to navigate uncertainty, approximate optimal solutions, and support
rational decision-making.