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{ "item_title" : "Knowledge Engineering", "item_author" : [" Gheorghe Tecuci", "Dorin Marcu", "Mihai Boicu "], "item_description" : "This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/10/712/256/1107122562_b.jpg", "price_data" : { "retail_price" : "104.00", "online_price" : "104.00", "our_price" : "104.00", "club_price" : "104.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Knowledge Engineering|Gheorghe Tecuci

Knowledge Engineering : Building Cognitive Assistants for Evidence-Based Reasoning

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Overview

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.

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Details

  • ISBN-13: 9781107122567
  • ISBN-10: 1107122562
  • Publisher: Cambridge University Press
  • Publish Date: September 2016
  • Dimensions: 10.4 x 7.09 x 1.03 inches
  • Shipping Weight: 2.56 pounds
  • Page Count: 480

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