Techniques for Intelligent Decision Support Systems

Abstract

Techniques for systems that support intelligent decision making are the new way of applying what is called artificial intelligence, which can assist in solving complex problems in program management. They embody human-like techniques to solve problems ranging from planning, scheduling, and optimization to expert decision making that are difficult to solve using standard mathematical modeling, as described in previous chapters. This chapter will look into knowledge-based systems (also called expert systems) and genetic algorithms which are both widely intelligent systems applied in the construction industry. Knowledge-based systems use computer programming to solve problems associated with human reasoning. They are much simpler than other artificial intelligence methods and can be used effectively in program management where many decisions need to be made, and where the logic can be structured and developed into a software program. Knowledge-based systems are described, together with their applications in the construction industry and especially from the viewpoint of program management. These are empty programs which users can apply to solve their unique problems, thus freeing the hand of the user from the programming. Genetic algorithms, however, are complex techniques that can optimize and find solutions for problems which standard optimization techniques fail to solve. They are search algorithms that mimic the way evolution has progressed by creating a never-ending supply of better generations.