ReviewFrontiers in behavioral neuroscience2026
The role of AI and team topologies in enhancing decision-making flexibility by reducing cognitive overload.
Review in Frontiers in behavioral neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Decision-making is a critical skill that impacts the performance of teams, particularly in high-stakes and complex environments, and is known to be affected by cognitive load. When teams face an overload of information and multiple decisions are needed, the process of decision-making becomes slower, performance becomes reduced, and, eventually, there is a burden and exhaustion of the team. This article provides an informed behavioral neuroscience perspective on how psychobiological constraints on behavior, particularly cognitive load, working memory limits, and decision-making under pressure, become relevant in socially organized team settings, and on how the combination of artificial intelligence (AI) with team topologies (TT) may reduce cognitive load and produce an applied framework for understanding the optimization of team architecture and performance by leveraging AI as a tool to reduce cognitive load. By combining a psychobiological perspective with an organizational and translational perspective, the future of the intersection of AI with TT may be generalized and impact teams well-being and performance.
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