Expert Systems in Construction Industry: Requirements, Features, and Relevance

Running head: EXPERT SYSTEMS
Expert Systems
Name of the Student
Name of the University
Author Note

1EXPERT SYSTEMS
System requirements and features (advanced capabilities)
Expert Systems have been the latest technological advancement implementation in the
Construction Industry. It utilizes the current advancement in the technological world of Artificial
Intelligence to enhance the solutions witnessed in the construction industry based on knowledge
specific techniques that are at par with the level of human expertise (Heckerman, Horvitz and
Nathwani 2016). The study of Artificial Intelligence has developed the ides of knowledge based
expert system.
The advanced capabilities of the technology used for Expert Systems require high quality
knowledge in a task based on a specific domain. The system requirements and features for
Expert Systems belong to the high quality of knowledge but it still is somewhat estranged from
the way it processes the knowledge. The knowledge base as well as the inference engine is split
up.
The architecture for the features that comprises the Expert System are an inference
engine, knowledge base, knowledge acquisition, explanation factory and a GUI or graphical user
interface. A knowledge base comprises the heart of the expert system consisting of the different
information, both heuristic and factual, about the problem domain. However, in this particular
case of Expert Systems, heuristic data is less discussed since these are more biased and
judgmental. The next in the architecture is the inference engine which is the reasoning process
for the artificial intelligence (Adeli 2014). It makes use of the available data acquired through the
knowledge base to provide answer based on the suggestions and predictions almost like the
intellect of a human being. The next architecture base of the Expert System, the knowledge
acquisition facility which facilitates the transfer of knowledge based on the acquired data to the
expert system. The explanation factory then provides the user with a solution and the user