Screen LibraryMachine learning methods for commonsense reasoning processes : interactive models /
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.
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
IGI Global,
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| Publisher Address: | Hershey, Pa. : |
| Publication Dates: | 2010. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-810-9 |
| Summary: |
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. |
| Carrier Form: | PDFs (xiv, 410 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 400-401) and index. |
| ISBN: | 9781605668116 (ebook) |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
| Index Number: | Q325 |
| CLC: | TP181 |
| 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. |