| authors |
Stefik, M. |
| year |
1994 |
| title |
Knowledge Systems |
| source |
Morgan Kaufmann Publishers Inc., San Francisco. p. 295 |
| summary |
Digital systems cannot act reliably and intelligently in ignorance. They need to know how to act intelligently. Computer systems that use knowledge are called knowledge-based systems, or simply, knowledge systems. Knowledge systems first came to the public's attention in the 1980s as a successful application of artificial intelligence. Since then their use has spread widely throughout industry, finance and science. But what are the principles behind knowledge systems? What are they useful for? How are they built? What are their limitations? How can they connect with human activities for creating and using knowledge? Addressing these questions is the purpose of this book. The art of building knowledge systems is inherently multidisciplinary, incorporating computer science theory, programming practice and psychology. The content of this book incorporates these varied fields covering topics ranging from the design of search algorithms and representations to techniques for acquiring the task specific knowledge required for developing successful systems. It discusses common representations for time, space, uncertainty, and vagueness. It also explains the knowledge-level organizations for the three most widespread knowledge-intensive tasks: classification, configuration, and diagnosis. In a university setting, this book is intended for use at the advanced undergraduate levels and beginning graduate levels. For students outside of computer science, this book provides an introduction that prepares them for using and creating knowledge systems in their own areas of specialization. For computer science students, this book provides a deeper treatment of knowledge systems than is possible in a general introduction to artificial intelligence. |
| series |
other |
| references |
Content-type: text/plain
|
| last changed |
2003/04/23 15:14 |
|
