Explore the latest books of this year!
Bookbot

Itzhak Gilboa

    Itzhak Gilboa delves into the complexities of decision theory and other branches of economic theory, including game theory and social choice. His primary focus lies in decision-making under uncertainty, exploring fundamental concepts such as the definition of probability, notions of rationality, and non-Bayesian decision models. Gilboa's work critically examines the theoretical underpinnings of how individuals and groups make choices when faced with incomplete or ambiguous information. His research offers profound insights into the nature of rationality and the construction of probability.

    Rational Choice
    Theory of Decision under Uncertainty
    • This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions – first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.

      Theory of Decision under Uncertainty
    • Rational Choice

      • 176 pages
      • 7 hours of reading

      A nontechnical, concise, and rigorous introduction to the rational choice paradigm, focusing on basic insights applicable in fields ranging from economics to philosophy.

      Rational Choice