While probabilistic logics in principle might be applied to solve a range of problems, in practice they are rarely applied - perhaps because they seem disparate, complicated, and computationally intractable. This programmatic book argues that several approaches to probabilistic logic fit into a simple unifying framework in which logically complex evidence is used to associate probability intervals or probabilities with sentences. Specifically, Part I shows that there is a natural way to present a question posed in probabilistic logic, and that various inferential procedures provide semantics for that question, while Part II shows that there is the potential to develop computationally feasible methods to mesh with this framework. The book is intended for researchers in philosophy, logic, computer science and statistics. A familiarity with mathematical concepts and notation is presumed, but no advanced knowledge of logic or probability theory is required.
| ISBN: | 9789400734432 |
| Publication date: | 27th January 2013 |
| Author: | Rolf Haenni, JanWillem Romeijn, Gregory Wheeler, Jon Williamson |
| Publisher: | Springer an imprint of Springer Netherlands |
| Format: | Paperback |
| Pagination: | 155 pages |
| Series: | Synthese Library |
| Genres: |
Philosophy of science Philosophy: epistemology and theory of knowledge Philosophy: logic Maths for computer scientists Stochastics Probability and statistics |
While probabilistic logics in principle might be applied to solve a range of problems, in practice they are rarely applied - perhaps because they seem disparate, complicated, and computationally intractable. This programmatic book argues that several approaches to probabilistic logic fit into a simple unifying framework in which logically complex evidence is used to associate probability intervals or probabilities with sentences. Specifically, Part I shows that there is a natural way to present a question posed in probabilistic logic, and that various inferential procedures provide semantics for that question, while Part II shows that there is the potential to develop computationally feasible methods to mesh with this framework. The book is intended for researchers in philosophy, logic, computer science and statistics. A familiarity with mathematical concepts and notation is presumed, but no advanced knowledge of logic or probability theory is required.
Probabilistic Logics and Probabilistic Networks features in the following genres: Philosophy of science, Philosophy: epistemology and theory of knowledge, Philosophy: logic, Maths for computer scientists, Stochastics, Probability and statistics
Probabilistic Logics and Probabilistic Networks is available in Paperback
Probabilistic Logics and Probabilistic Networks was written by Rolf Haenni, JanWillem Romeijn, Gregory Wheeler, Jon Williamson and published by Springer an imprint of Springer Netherlands
Probabilistic Logics and Probabilistic Networks has 155 pages
Yes it is part of Synthese Library series