Chapter 10 discusses intelligent decision support systems and expert systems. It describes the basic concepts of artificial intelligence including symbolic processing, machine learning, and heuristic reasoning. The key components of expert systems are described as the knowledge base, inference engine, and user interface. Expert systems are most suitable for problems that require interpretation, prediction, diagnosis, design, planning, monitoring, debugging, repair, and instruction. The benefits of expert systems include increased productivity and decision quality while capturing scarce expertise. Limitations include difficulties extracting expertise from humans and potential for providing wrong recommendations.