Phys.org August 15, 2024 Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. The Hopfield neural network (HNN) is a simple model known for its biological plausibility in storing and retrieving neuron patterns. Researchers Germany implemented certain modifications to HNN as a step toward the larger framework of creative thinking-based association. The modifications included introducing pattern weights control, which provides a robust representation for content addressable memory and conceptual links in stored data. They identified two mechanisms controlling the transition from analytical to associative-based thinking, namely, the activation threshold of neurons, which acts as […]
Tag Archives: Creativity
Study: ‘Exploring’ inventors thrive in workplaces with open communications
Phys.org October 12, 2022 Drawing upon the notion of boundaryless organizations and upon the information processing perspective of organizational design a team of researchers in the US (University of South Florida, University of Nebraska, University of Missouri) investigated the decompartmentalization of internal communication as a unique organizational context that moderates the relationship between R&D employees’ exploration behaviors and their individual inventive performance. They tested their hypotheses using a novel combination of survey and archival data. They found that R&D employees who explored more generated inventions that were more valuable only when in workplaces characterized by high communication decompartmentalization. Such workplaces […]