Machine learning methods for commonsense reasoning processes interactive models
Title:
Machine learning methods for commonsense reasoning processes interactive models
Author:
Naidenova, Xenia, 1940-
ISBN:
9781605668116
Personal Author:
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2010.
Physical Description:
electronic texts (xiv, 410 p. : ill.) : digital files.
Contents:
Knowledge in the psychology of thinking and mathematics -- Logic-based reasoning in the framework of artificial intelligence -- The coordination of commonsense reasoning operations -- The logical rules of commonsense reasoning -- The examples of human commonsense reasoning processes -- Machine learning (ML) as a diagnostic task -- The concept of good classification (diagnostic) test -- The duality of good diagnostic tests -- Towards an integrative model of deductive-inductive commonsense reasoning -- Towards a model of fuzzy commonsense reasoning -- Object-oriented technology for expert system generation -- Case technology for psycho-diagnostic system generation -- Commonsense reasoning in intelligent computer systems.
Abstract:
This book suggests that classification is a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications, presenting an effective classification of logical rules used in the modeling of commonsense reasoning.
Added Corporate Author:
Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-810-9