000 | 02483ntdaa2200325 ab4500 | ||
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003 | UnInEc | ||
005 | 20240104145327.0 | ||
006 | a||||g ||i| 00| 0 | ||
008 | 140501s9999 mx ||||f |||| 00| 0 spa d | ||
020 | _a9781107122567 | ||
040 | _aCIBESPAM MFL | ||
041 | _aeng | ||
082 |
_a006.3 _bT255 |
||
100 | _aTecuci, Gheorghe | ||
245 | _aKnowledge Engineering: Building Cognitive Assistants for Evidence-based Reasoning. | ||
260 |
_aNew York _bCambridge University Press _c2016 |
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300 |
_axxiii, 455pages; _bFigures, tables; |
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505 | _a-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 -References -Appendixes | ||
520 | _aThis 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. | ||
650 | _aExpert systems | ||
650 | _aIntelligent agents | ||
650 | _aMachine Learning | ||
650 | _aComputer Sicence | ||
700 | _aMarcu, Dorin | ||
700 | _aBoicu, Mihai | ||
700 | _aSchum, David A. | ||
912 |
_c2024-01-04 _dPaúl Villacreses |
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913 |
_aTIC _bCC _dSCSAS |
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942 |
_2ddc _cBK |
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999 |
_c13033 _d13033 |