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Multimodality in architecture : Collaboration, technology and education
Examines multimodality in architecture and its impacts on collaborative, technical and educational processes or systems. Multimodality is becoming increasingly critical in contemporary architectural practice and education. Creative design teams face new challenges when they embrace new modes of communication, technology, and knowledge development processes. From diverse online modes of communication to shared digital environments, generative AI and advanced hardware solutions, new modes of information creation, sharing, and application are changing the ways architects and designers work. The book presents new research which empowers international researchers and designers to work more effectively in a diverse range of digital environments. Whether the readers are architects, teachers, students, or scholars, this book provides critical insights and practical tools for understanding and optimising processes in architecture and design.
Congruency, Expectations and Consumer Behavior in Digital Environments
A progress in technologies, the increasing expansion and use of digital environments lead to remarkable shifts of business activities. These transformations not only impact business but also affect consumers’ attitudes, beliefs, and practices. Thus, Frederic Nimmermann sheds light on consumer behavior in central subareas in digital environments such as advertising.
Applied and computational mathematics for digital environments
Contains the 11 papers that were accepted and published in the Special Issue “Applied and Computational Mathematics for Digital Environments” of the MDPI Mathematics journal. The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments; The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments; Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments; The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments.
