Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning /
This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber secur...
| मुख्य लेखकों: | , , , |
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| स्वरूप: | |
| भाषा: | eng |
| प्रकाशित: |
New York, NY : Cambridge University Press,
2016
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| विषय: |
| _version_ | 1826468711396016128 |
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| author | Tecuci, Gheorghe, author Marcu, Dorin, author Boicu, Mihai, author Schum, David A., author |
| author_facet | Tecuci, Gheorghe, author Marcu, Dorin, author Boicu, Mihai, author Schum, David A., author |
| author_sort | Tecuci, Gheorghe, author |
| collection | OCEAN |
| description | This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education. |
| first_indexed | 2024-03-05T16:22:31Z |
| format | |
| id | KOHA-OAI-TEST:557047 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T16:22:31Z |
| publishDate | 2016 |
| publisher | New York, NY : Cambridge University Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5570472020-12-19T17:21:04ZKnowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / Tecuci, Gheorghe, author Marcu, Dorin, author Boicu, Mihai, author Schum, David A., author New York, NY : Cambridge University Press,2016engThis book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education.Includes bibliographical references and index.1. Introduction; 2. Evidence-based reasoning: connecting the dots; 3. Methodologies and tools for agent design and development; 4. Modeling the problem-solving process; 5. Ontologies; 6. Ontology design and development; 7. Reasoning with ontologies and rules; 8. Learning for knowledge-based agents; 9. Rule learning; 10. Rule refinement; 11. Abstraction of reasoning; 12. Disciple agents; 13. Design principles for cognitive assistants.This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education.PSZJBLExpert systems (Computer science) Knowledge, Theory ofComputational learning theory A prioriURN:ISBN: 9781107122567 |
| spellingShingle | Expert systems (Computer science) Knowledge, Theory of Computational learning theory A priori Tecuci, Gheorghe, author Marcu, Dorin, author Boicu, Mihai, author Schum, David A., author Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title | Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title_full | Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title_fullStr | Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title_full_unstemmed | Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title_short | Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning / |
| title_sort | knowledge engineering building cognitive assistants for evidence based reasoning |
| topic | Expert systems (Computer science) Knowledge, Theory of Computational learning theory A priori |
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