Bookbot

Cambridge Studies in Probability, Induction and Decision TheorySéries

Cette série se veut une plateforme pour les travaux les plus novateurs et stimulants dans la théorie de la décision rationnelle. Elle explore les développements contemporains de l'interaction entre philosophie, psychologie, économie et statistique. La collection aborde des questions théoriques fondamentales, souvent techniques, lui conférant ainsi un caractère résolument philosophique.

Causal Asymmetries
Decision Space
The Design Inference
The Design Inference

Ordre de lecture recommandé

  • The Design Inference

    • 262pages
    • 10 heures de lecture
    3,6(45)Évaluer

    How can we identify events due to intelligent causes and distinguish them from events due to undirected natural causes? If we lack a causal theory how can we determine whether an intelligent cause acted? This book presents a reliable method for detecting intelligent causes: the design inference. The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.

    The Design Inference

  • The Design Inference

    Eliminating Chance Through Small Probabilities

    • 264pages
    • 10 heures de lecture
    1,0(1)Évaluer

    Focusing on the concept of specified improbable events, the book argues that such occurrences indicate intelligent causes, challenging the explanatory power of undirected natural causes. It revitalizes classical design arguments and highlights the limitations of these causes in scientific contexts. The work appeals to philosophers of science and religion, as well as those interested in epistemology, logic, probability, complexity theory, and statistics, providing a thought-provoking exploration of the intersection between design and scientific inquiry.

    The Design Inference

  • Decision Space

    Multidimensional Utility Analysis

    • 288pages
    • 11 heures de lecture

    Multidimensional utility analysis enhances decision theory by integrating traditional and innovative evaluation methods into a cohesive framework. It formulates key decision principles like maximizing expected utility and addresses complex decision-making scenarios, particularly when an expert represents a group. This comprehensive approach accommodates various factors influencing an option's utility, making it a crucial resource for advanced students, professionals in decision theory, and social scientists.

    Decision Space

  • Causal Asymmetries

    • 320pages
    • 12 heures de lecture
    3,8(4)Évaluer

    This book offers an in-depth exploration of causal asymmetry, presenting a thorough analysis from a leading philosopher of science. It delves into the complexities of cause and effect relationships, examining their implications across various scientific disciplines. The author provides critical insights and arguments, making it an essential resource for those interested in the philosophical underpinnings of causation and its impact on scientific understanding.

    Causal Asymmetries