1# Library to Find Best eBook for Read
Author : Michael Gelfond. Yulia Kahl
Release : 2014
Genre :
Kind : eBook
Book Rating : 464/5 ( reviews)
Book Synopsis Knowledge Representation, Reasoning, and the Design of Intelligent Agents by : Michael Gelfond. Yulia Kahl
Download or read book Knowledge Representation, Reasoning, and the Design of Intelligent Agents written by Michael Gelfond. Yulia Kahl. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael Gelfond
Release : 2014-03-10
Genre : Computers
Kind : eBook
Book Rating : 872/5 ( reviews)
Book Synopsis Knowledge Representation, Reasoning, and the Design of Intelligent Agents by : Michael Gelfond
Download or read book Knowledge Representation, Reasoning, and the Design of Intelligent Agents written by Michael Gelfond. This book was released on 2014-03-10. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.
Author : Michael Gelfond
Release : 2014-03-10
Genre : Computers
Kind : eBook
Book Rating : 562/5 ( reviews)
Book Synopsis Knowledge Representation, Reasoning, and the Design of Intelligent Agents by : Michael Gelfond
Download or read book Knowledge Representation, Reasoning, and the Design of Intelligent Agents written by Michael Gelfond. This book was released on 2014-03-10. Available in PDF, EPUB and Kindle. Book excerpt: This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.
Author : Ronald Brachman
Release : 2004-05-19
Genre : Computers
Kind : eBook
Book Rating : 326/5 ( reviews)
Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman
Download or read book Knowledge Representation and Reasoning written by Ronald Brachman. This book was released on 2004-05-19. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
Author : Gheorghe Tecuci
Release : 1998-06-23
Genre : Computers
Kind : eBook
Book Rating : 250/5 ( reviews)
Book Synopsis Building Intelligent Agents by : Gheorghe Tecuci
Download or read book Building Intelligent Agents written by Gheorghe Tecuci. This book was released on 1998-06-23. Available in PDF, EPUB and Kindle. Book excerpt: Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the theory. The second part of the book presents complex and detailed case studies of building different types of agents: an educational assessment agent, a statistical analysis assessment and support agent, an engineering design assistant, and a virtual military commander. Also featured in this book is Disciple, a toolkit for building interactive agents which function in much the same way as a human apprentice. Disciple-based agents can reason both with incomplete information, but also with information that is potentially incorrect. This approach, in which the agent learns its behavior from its teacher, integrates many machine learning and knowledge acquisition techniques, taking advantage of their complementary strengths to compensate for each others weakness. As a consequence, it significantly reduces (or even eliminates) the involvement of a knowledge engineer in the process of building an intelligent agent.
