Artificial Intelligence (AI) versus Computational Intelligence (CI) for treatment of complexity in design

The complexity of design tasks has a number of aspects. Three of them are the vagueness of objectives, conflicting nature of objectives, as well as the large amount of possible solutions. This paper considers two major approaches addressing treatment of these complexity aspects, namely approaches based on methods from the domain of classical artificial intelligence (AI) and approaches using methods from the emerging paradigm of computational intelligence (CI). Challenges of the methodologies in treating complexity issues are pinpointed, and alleviation is exemplified by means of an approach that is based on two CI methodologies addressing an architectural design problem.