Approximate Reasoning by Parts

Approximate Reasoning by Parts: An Introduction to Rough Mereology (Intelligent Systems Reference Library) (repost)

Lech Polkowski, "Approximate Reasoning by Parts: An Introduction to Rough Mereology (Intelligent Systems Reference Library)"
Publisher: S===ger | ISBN 10: 3642222781 | 2011 | PDF | 360 pages | 2.6 MB
Approximate Reasoning by Parts: An Introduction to Rough Mereology (Intelligent Systems Reference Library)

Lech Polkowski, "Approximate Reasoning by Parts: An Introduction to Rough Mereology (Intelligent Systems Reference Library)"
Publisher: S===ger | ISBN 10: 3642222781 | 2011 | PDF | 360 pages | 2.6 MB
Foundations of Computational Intelligence Volume 2: Approximate Reasoning (repost)

Foundations of Computational Intelligence Volume 2: Approximate Reasoning by Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera
English | ISBN: 3642015328 | 2009 | PDF | 310 pages | 10 mb

Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems.
Non-monotonic Reasoning: Formalization of Commonsense Reasoning by Witold Lukaszewicz

Non-monotonic Reasoning: Formalization of Commonsense Reasoning by Witold Lukaszewicz
English | 1 Sept. 1990 | ISBN: 0136244467 | 331 Pages | PDF | 13 MB

Progress within many areas of Artificial Intelligence, including natural language processing (NLP), vision and expert systems, depends heavily on the proper formalization of common- sense reasoning. A fundamental of this kind of reasoning is its nonmonotonicity, that is its ability to draw conclusions which can be invalidated by new information.
Data Representations, Transformations, and Statistics for Visual Reasoning by Ross Maciejewski

Data Representations, Transformations, and Statistics for Visual Reasoning (Synthesis Lectures on Visualization) by Ross Maciejewski
English | May 13, 2011 | ISBN: 1608456250 | 87 Pages | PDF | 1 MB

Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making.

Fuzziness and Approximate Reasoning (Repost)  

Posted by DZ123 at Feb. 4, 2015
Fuzziness and Approximate Reasoning (Repost)

Kofi Kissi Dompere, "Fuzziness and Approximate Reasoning: Epistemics on Uncertainty, Expectation and Risk in Rational Behavior"
English | 2009 | ISBN: 3540880860 | PDF | pages: 311 | 5 mb
Towards Justice and Virtue: A Constructive Account of Practical Reasoning by Onora O'Neill

Towards Justice and Virtue: A Constructive Account of Practical Reasoning by Onora O'Neill
English | Aug 28, 1996 | ISBN: 0521485592 | 244 Pages | PDF | 18,3 MB
Fuzzy Expert Systems and Fuzzy Reasoning by James J. Buckley [Repost]

Fuzzy Expert Systems and Fuzzy Reasoning by James J. Buckley
Wiley-Interscience; 1 edition | December 13, 2004 | English | ISBN: 0471388599 | 422 pages | PDF | 3 MB

Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in this domain.
Cognition and Chance: The Psychology of Probabilistic Reasoning by Raymond S. Nickerson [Repost]

Cognition and Chance: The Psychology of Probabilistic Reasoning by Raymond S. Nickerson
Psychology Press; 1 edition | June 4, 2004 | English | ISBN: 0805848991 | 532 pages | PDF | 33 MB

Lack of ability to think probabilistically makes one prone to a variety of irrational fears and vulnerable to scams designed to exploit probabilistic naiveté, impairs decision making under uncertainty, facilitates the misinterpretation of statistical information, and precludes critical evaluation of likelihood claims. Cognition and Chance presents an overview of the information needed to avoid such pitfalls and to assess and respond to probabilistic situations in a rational way.
Foundations of Computational Intelligence Volume 2: Approximate Reasoning (repost)

Foundations of Computational Intelligence Volume 2: Approximate Reasoning
Springer | English | 2009-07-01 | ISBN: 3642015328 | 314 pages | PDF | 12 MB