An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems.

Key Features
* Expert systems techniques and applications are presented for a diverse array of topics including:
* Experimental design and decision support
* The integration of machine learning with knowledge acquisition for the design of expert systems
* Process planning in design and manufacturing systems and process control applications
* Knowledge discovery in large-scale knowledge bases
* Robotic systems
* Geograhphic information systems
* Image analysis, recognition and interpretation
* Cellular automata methods for pattern recognition
* Real-time fault tolerant control systems
* CAD-based vision systems in pattern matching processes
* Financial systems
* Agricultural applications
* Medical diagnosis