KNOWLEDGE ENGINEERING The Applied Side of Artificial!ntelligence by Edward A. Feigenbaum

The Most Important Gain: New Knowledge 18 10 Problems of Knowledge Engineering 19 10.1 The Lack of Adequate and Appropriate Hardware 19 10.2 Lack of Cumulation of Al Methods and Techniques 19 10.3 Shortage of Trained Knowledge Engineers 20 10.4 The Problem of Knowledge Acquisition 21 10.5 The Development Gap 21 11 Acknowledgments 22 1 1 Introduction: Symbolic Computation and Inference This paper will discuss the applied artificial intelligence work that is sometimes called "knowledge engineering". The work is based on computer programs that do symbolic manipulations and symbolic inference, not calculation. The programs I will discuss do essentially no numerical calculation. They discover qualitative lines-of-reasoning leading to solutions to problems stated symbolically.