Over the last decade research into design processes utilizing ideas and models drawn from artificial intelligence has resulted in a better understanding of design -- particularly routine design -- as a process. Indeed, most of the current research activity directly or indirectly deals only with routine design. Not surprisingly, many practicing designers state that the level of understanding represented by these models is only of mild interest because they fail to embody any ideas about creativity. This volume provides a set of chapters in the areas of modeling creativity and knowledge-based creative design that examines the potential role and form of computer-aided design which supports creativity. It aims to define the state-of-the-art of computational creativity in design as well as to identify research directions. Published at a time when the field of computational creativity in design is still immature, it should influence the directions of growth and assist the field in reaching maturity.

Over the last decade research into design processes utilizing ideas and models drawn from artificial intelligence has resulted in a better understanding of design -- particularly routine design -- as a process. Indeed, most of the current research activity directly or indirectly deals only with routine design. Not surprisingly, many practicing designers state that the level of understanding represented by these models is only of mild interest because they fail to embody any ideas about creativity. This volume provides a set of chapters in the areas of modeling creativity and knowledge-based creative design that examines the potential role and form of computer-aided design which supports creativity. It aims to define the state-of-the-art of computational creativity in design as well as to identify research directions. Published at a time when the field of computational creativity in design is still immature, it should influence the directions of growth and assist the field in reaching maturity.

This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.

This book provides theoretical and practical backgrounds for the digital creativity management and related Agent-Based Modeling (ABM) results on the basis of a set of realistic assumptions in which several topics such as knowledge network, diversity, individual creativity, team creativity, exploration and exploitation, and organizational creativity are discussed. Until now, there has been no clear-cut methodology by which creativity management can be articulated and materialized into the business process management within companies and corporate performance. Though many approaches have been proposed to tackle the creativity research issues, this book adopts a new approach which assumes that the network structure formulated by interrelationships among team members decides individual creativity and team creativity as well, and ABM-based simulations lead to robust analysis of corporate performance over time. Typical examples of network structure under consideration in this study are degree centrality and structural hole (an opportunity to broker the flow of information between people, and control the projects that bring together people from opposite sides of the hole). This book suggests detailed analysis of source code used in implementing a prototype digital creativity simulation engine with related snap-shots and ABM results, so that readers can understand hard core of how to design and implement ABM tasks related to target problems, and extract implications from the ABM results.

Computer technology has revolutionized many aspects of building design, such as drafting, management, construction - even building with robots. This revolution has expanded into the field of design creativity. Presented in this book is an up-to-date, comprehensive picture of research advances in the fast-growing field of informatics applied to conceptual stages in the generation of artifacts - in particular, buildings. It addresses the question how far and in what ways creative design can be intelligently automated.Among the topics covered are: the use of precedents; the relations between case-based, rule-based, and principle-based architectural design reasoning; product typology; artifact thesauruses; the inputting and retrieval of architectural knowledge; the visual representation and understanding of existing or projected built forms; empirical and analytical models of the design process and the design product; desktop design toolkits; grammars of shape and of function; multiple-perspective building data structures; design as a multi-agent collaborative process; the integration of heterogeneous engineering information; and foundations for a systematic approach to the development of knowledge-based design systems.The papers provide a link between basic and practical issues: - fundamental questions in the theory of artifact design, artifical intelligence, and the cognitive science of imagination and reasoning; - problems in the computerization of building data and design facilities; - the practical tasks of building conception, construction and evaluation. The automation of creative design is itself considered as an engineering design problem. The implications of current and future work for architectural education and research in architectural history, as well as for computer-integrated construction and the management of engineering projects are considered.

We are studying and modeling creative design processes. Our goals are two-fold. One is to make intelligent, computer-based design assistants more creative (e.g., able to suggest unusual but useful solutions and to bring up important issues that might not have been considered otherwise). The other is to build computational models that help us understand human creativity. This will have implications for design education and suggest ways of enhancing the creativity of human designers. To gain insights into the knowledge and reasoning involved in creative design, we performed an exploratory study of student mechanical engineers engaged in a seven-week undergraduate design project. In this study, we observed a great deal of the design process, including informal team meetings (e.g., while choosing materials at a store) as well as official meetings. This has given us insights into the processes underlying many creative design activities, particularly the following. How designers generate multiple alternative views of a problem through situation assessment and reformulation. How problem constraints, evaluation criteria, and preferences gradually emerge or become refined as ideas are proposed and critiqued. How designers serendipitously recognize solutions to pending problems, often seeing new functions and purposes for common design pieces in the process.