Machine learning methods for commonsense reasoning processes
Subtitle: interactive models
By: Xenia Naidenova
Publisher: Information Science Reference
Published: 2010
Place of publication: Hershey, PA
Language: eng
Number of pages: 410
ISBN-13: 9781605668109; 9781605668116
Description: "The main purpose of this book is to demonstrate the possibility of transforming a large class of machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences are not separated one from another but moreover they are correlated and support one another"--Provided by publisher.
Notes: Includes bibliographical references (p. 400-401) and index.
Table of contents: title: Knowledge in the psychology of thinking and mathematics; title: Logic-based reasoning in the framework of artiticial intelligence; title: The coordination of commonsense reasoning operations; title: The logical rules of commonsense reasoning; title: The examples of human connonsense reasoning processes; title: Machine learning (ML) as a diagnostic task; title: The concept of good classification (diagnostic) test; title: The duality of good diagnostic tests; title: Towards an integrative model of deductive-inductive commonsense reasoning; title: Towards a model of fuzzy commonsense reasoning; title: Object-oriented technology for expert system generation; title: Case technology for psycho-diagnostic system generation; title: Commonsense reasoning in intelligent computer systems.