Building Large Knowledge-based Systems - Info and Reading Options
Representation and Inference in the Cyc Project
By Douglas B. Lenat and R. V. Guha


"Building Large Knowledge-based Systems" was published by Addison-Wesley Pub. Co. in 1989 - Reading, Mass, the book is classified in Computers genre, it has 372 pages and the language of the book is English.
“Building Large Knowledge-based Systems” Metadata:
- Title: ➤ Building Large Knowledge-based Systems
- Authors: Douglas B. LenatR. V. Guha
- Language: English
- Number of Pages: 372
- Is Family Friendly: Yes - No Mature Content
- Publisher: Addison-Wesley Pub. Co.
- Publish Date: 1989
- Publish Location: Reading, Mass
- Genres: Computers
“Building Large Knowledge-based Systems” Subjects and Themes:
- Subjects: ➤ Artificial intelligence - Expert systems (Computer science) - Knowledge representation (Information theory) - System design
Edition Specifications:
- Pagination: xix, 372 p. ;
Edition Identifiers:
- Google Books ID: 55NQAAAAMAAJ
- The Open Library ID: OL2195562M - OL4782499W
- Online Computer Library Center (OCLC) ID: 19981533
- Library of Congress Control Number (LCCN): 89015091
- ISBN-10: 0201517523
- All ISBNs: 0201517523
AI-generated Review of “Building Large Knowledge-based Systems”:
Snippets and Summary:
Chapter one presents the Cyc "philosophy" or paradigm.
"Building Large Knowledge-based Systems" Description:
Google Books:
Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.
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