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Hybrid intelligence as artificial life in design: selected notions for investigating generative artificial intelligence (GenAI) systems in relation to architectural and urban studies

Authors: Ciric, Dragana; Park, Sun;

Hybrid intelligence as artificial life in design: selected notions for investigating generative artificial intelligence (GenAI) systems in relation to architectural and urban studies

Abstract

The paper will analyse the most recent modes of hybrid intelligence and generative design principles for possible application in architectural and urban studies. Such an objective follows the question of contributions to the body of work on hybrid algorithmic design arising from these studies and their influence on the way the field can evolve as a consequence of various responses to urban and architectural requirements. Due to the inherent transdisciplinarity of the topic and the fact that explanation requires the convergence of a larger number of areas external to architectural and urban studies, adjacent scientific fields from where these studies have drawn primary sources of operative knowledge will enter a discussion. Considering the range of algorithmic AI and evolutionary attributes that support their advanced hybrid algorithmic structures and performances as either a major condition for achieving design goals or a key means to trace their way forward, it becomes important to properly explain the relationship that makes such design approach viable, involving: major concepts of human-machine interaction, human agents, and artificial agency of various abstract and technical character (abstract and real machines). Having considered the fact that generative principles from nature constitute the basis of all their machine-related interpretations and artificial life, through references explaining this view, the major part of the study will focus on the most recent algorithmic forms and forms of human-machine collaboration grounded in computer sciences, cognitive sciences, biotechnologies, and neurosciences, which result in the argued form of hybrid generative artificial intelligence (hybrid GenAI). With different algorithmic structures and types in mind, the study will try to establish a proper equivalent between the current algorithmic evolutionary and non-evolutionary strategies and generative design strategies, arriving at the latest design application of advanced computational practices related to postulated hybrid intelligence—hybridisation of artificial intelligence with human intelligence in a generative framework

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Keywords

Hybrid Artificial Intelligence, Hybrid Intelligence, Human-Machine Intelligence, Architectural and Urban Studies, Hybrid GenAI, GenAI, Computational Design, Generative Design, Architectural Design, Evolutionary AI, Generative Artificial Intelligence, Algorithmic Design, Architectural and Urban Design, Human-Machine Interaction, Artificial Life, Urban Design

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green