A New Course on Creativity in an Engineering Program: Foundations and Issues

The importance of innovation in the world's economy, now undeniable, draws great attention to the need to improve organizations' creative potential. In the last 60 years, hundreds of books have been written on the subject and hundreds of webpages display information on how to be more creative and achieve innovation. Several North American and European universities offer graduated programs in creativity. However, building an effective and validated creativity training program is not without challenges. Because of the nature of their work, engineers are often asked to be innovative. Without aiming for a degree in creativity, could future engineers benefit from training programs in creativity? This article presents the conceptual framework and pedagogical elements of a new course in creativity for engineering students.Comment: 10 pages, Intl Conf on Innovative Design and Manufacturing (pp. 270-275). Aug 13-15, Montreal. IEEE Conference Proceeding

How Insight Emerges in a Distributed, Content-addressable Memory

We begin this chapter with the bold claim that it provides a neuroscientific explanation of the magic of creativity. Creativity presents a formidable challenge for neuroscience. Neuroscience generally involves studying what happens in the brain when someone engages in a task that involves responding to a stimulus, or retrieving information from memory and using it the right way, or at the right time. If the relevant information is not already encoded in memory, the task generally requires that the individual make systematic use of information that is encoded in memory. But creativity is different. It paradoxically involves studying how someone pulls out of their brain something that was never put into it! Moreover, it must be something both new and useful, or appropriate to the task at hand. The ability to pull out of memory something new and appropriate that was never stored there in the first place is what we refer to as the magic of creativity. Even if we are so fortunate as to determine which areas of the brain are active and how these areas interact during creative thought, we will not have an answer to the question of how the brain comes up with solutions and artworks that are new and appropriate. On the other hand, since the representational capacity of neurons emerges at a level that is higher than that of the individual neurons themselves, the inner workings of neurons is too low a level to explain the magic of creativity. Thus we look to a level that is midway between gross brain regions and neurons. Since creativity generally involves combining concepts from different domains, or seeing old ideas from new perspectives, we focus our efforts on the neural mechanisms underlying the representation of concepts and ideas. Thus we ask questions about the brain at the level that accounts for its representational capacity, i.e. at the level of distributed aggregates of neurons.Comment: 17 pages; 2 figure