Knowledge Representation, Reasoning, and the Design of Intelligent Agents
The Answer-Set Programming Approach
Nonfiction, Computers, Advanced Computing, Natural Language Processing, General Computing, Health & Well Being, Psychology
| Author: | Michael Gelfond, Yulia Kahl | ISBN: | 9781107779464 |
| Publisher: | Cambridge University Press | Publication: | March 10, 2014 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Michael Gelfond, Yulia Kahl |
| ISBN: | 9781107779464 |
| Publisher: | Cambridge University Press |
| Publication: | March 10, 2014 |
| Imprint: | Cambridge University Press |
| Language: | English |
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.
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.
