The design inference : eliminating chance through small probabilities /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dembski, William A., 1960-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 1998.
Colección:Cambridge studies in probability, induction, and decision theory.
Temas:
Experimental design.
Probabilities.
Research Design
Probability
Plan d'expérience.
Probabilités.
probability.
REFERENCE > Questions & Answers.
Experimental design
Probabilities
Acceso en línea:Texto completo
Tabla de Contenidos:
  • I. Introduction : Historical overview
  • The man with the golden arm
  • Intellectual property protection
  • Forensic science and detection
  • Data falsification in science
  • Cryptography (and SETI)
  • Randomness
  • II. Overview of the design inference : The explanatory filter
  • The logic of the inference
  • Case study, the creation-evolution controversy
  • From design to agency
  • III. Probability theory : The probability of an event
  • Events
  • Background information
  • Likelihood
  • The best available estimate
  • Axiomization of probability
  • IV. Complexity theory : The complexity of a problem
  • Problems and resources
  • Difficulty and its estimation
  • Axiomization of complexity
  • Calibration through complexity bounds
  • Information measures
  • RMS measures
  • Technical supplement on RMS measure
  • V. SSpecification : Patterns
  • The requisite precondition
  • Detachability
  • Specification defined
  • Pyramids and presidents
  • Information tucked within information
  • Prediction
  • Increasing the power of a complexity measure
  • Caputo revisited
  • Randomness revisited
  • VI. Small probability : Probabilistic resources
  • The generic chance elimination argument
  • The magic number 1/2
  • Statistical signigcance testing
  • Local and universal small probabilities
  • The inflationary fallacy
  • The law of small probability.

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