This book publishes the reviewed and revised texts of the papers delivered at the Tenth International Conference on Design Computing – DCC’24 held at Concordia University in Montreal, Canada. These papers the range of design research from artificial intelligence, cognitive science, cognitive neuroscience and computational theories applies to design. The papers are published in two volumes and are grouped under the following headings: Design Processes, Design Creativity, Design Cognition, Shape and Form, Design Technology, AI and Design, Design and Brain Behaviors, and Design AI Applications. These two volumes form an archival record of then current cutting-edge research studying design scientifically. They demonstrate the range of approaches being used to characterize designing as a process. At the same time they show that there is a commonality in designing independent of design discipline. These volumes will be of interest to design researchers in both academia and industry and to anyone who needs to obtain a better understanding of designing.

Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.