A Treatise on Probability | John Maynard Keynes & K.R. Gupta

A Treatise on Probability — John Maynard Keynes (with Contribution by K.R. Gupta)

Book Description

A Treatise on Probability is the foundational mathematical and philosophical work of John Maynard Keynes, originally published in 1921. While Keynes is globally celebrated for his revolutionary economic frameworks, this treatise represents his most significant contribution to mathematics, logic, and the history of science. Moving far beyond traditional numerical calculations, Keynes introduces a groundbreaking "logical-relationist" theory that redefines how we understand risk, evidence, and decision-making under conditions of human uncertainty.

This specialized edition, published by Atlantic Publishers and featuring expert input from Dr. K.R. Gupta, has been carefully adapted to serve modern academic needs. While preserving Keynes's core arguments against classical probability theory, this volume adapts the original text into an accessible narrative framework and integrates crucial developments that have occurred in the field since the early 20th century. Complete with dedicated practice problems, solved exercises, and un-solved self-tests, this comprehensive text bridges the gap between pure philosophical logic and real-world statistical inference.

Key Features & Themes

• Logical-Relationist Approach: Argues that probability is not merely about numerical frequencies, but a strictly objective logical relationship between given evidence and a hypothesis.
• Five-Part Structure: Universally covers the fundamental ideas of probability, core theorems, induction and analogy, philosophical applications, and the structural foundations of statistical inference.
• Enhanced Academic Adaptation: Modernized layout by Dr. K.R. Gupta includes updated bibliographies, revised indices, and freshly incorporated chapters dedicated to "Practice Problems" and "Test Yourself" segments.
• Overcoming Skepticism: Demonstrates how theoretically grounded hypotheses with small finite probabilities can be logically converted into practical certainty through comprehensive, repetitive observations.

Praise for the Work

Historically hailed by contemporary giants like Bertrand Russell as "undoubtedly the most important work on probability that has appeared for a very long time," Keynes's treatise continues to be a seminal text. Modern scholars and reviewers note its enduring relevance to contemporary debates surrounding behavioral economics and artificial intelligence.

About the Authors

John Maynard Keynes (1883–1946) was a towering British economist, mathematician, and civil servant whose theories fundamentally altered the practice of macroeconomics and state economic policies worldwide. He was a foundational member of the intellectual Bloomsbury Group and remains celebrated as one of the most influential thinkers of the 20th century.

Dr. K.R. Gupta is a well-known academic, editor, and author who has written and contributed to numerous textbooks across the disciplines of economics, statistics, and social sciences, helping adapt classic intellectual texts for modern university students.

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