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Knowledge Representation and Reasoning

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Title: Knowledge Representation and Reasoning
Description: Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. - Authors are well-recognized experts in the field who have applied the techniques to real-world problems - Presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems - Offers the first true synthesis of the field in over a decade
Authors: Ronald Brachman, Hector Levesque
Resource Type: eBook.
Subjects: Reasoning, Knowledge representation (Information theory), Information theory
Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 196373
RelevancyScore: 992
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 991.891296386719
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  Data: Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. - Authors are well-recognized experts in the field who have applied the techniques to real-world problems - Presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems - Offers the first true synthesis of the field in over a decade
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.332
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Reasoning
        Type: general
      – SubjectFull: Knowledge representation (Information theory)
        Type: general
      – SubjectFull: Information theory
        Type: general
    Titles:
      – TitleFull: Knowledge Representation and Reasoning
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ronald Brachman
      – PersonEntity:
          Name:
            NameFull: Hector Levesque
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          Name:
            NameFull: Ronald Brachman
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          Name:
            NameFull: Hector Levesque
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2004
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781558609327
            – Type: isbn-print
              Value: 9781493303793
            – Type: isbn-electronic
              Value: 9780080489322
          Titles:
            – TitleFull: Knowledge Representation and Reasoning
              Type: main
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