Tag: #DecisionIntelligence
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Cooperation versus social welfare
“Cooperation versus social welfare” Understanding and promoting cooperative behaviour among self-interested individuals is a critical concern in physical, biological, and social sciences. Numerous foundational mechanisms for the evolution of cooperation have been identified, and these mechanisms have served as the basis for developing tools and interventions designed to sustain and enhance cooperative behaviour. However, since…
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Modularisation & ITarchitecture complexity
“Modularisation and the management of IT architecture complexity” Managing IT architecture complexity is crucial for organisations striving for efficiency, flexibility, and agility. This paper examines modularisation as a strategy to address IT architecture complexity through a case study at a European bank. We explore three key design choices in modularisation: level of granularity, standardisation of…
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Neurocognitive Dynamics: Nonergodicity and Simpson’s paradox
“Nonergodicity and Simpson’s paradox in neurocognitive dynamics of cognitive control” Nonergodicity and Simpson’s paradox present significant, yet underappreciated challenges in cognitive neuroscience. Leveraging brain imaging and behavioral data from over 4000 individuals and a Bayesian computational model of cognitive dynamics, we investigated brain-behavior relationships underlying cognitive control at both between-subjects and within-subjects levels. Strikingly, brain-behavior…
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Origins and Evolution of Imagination
“Origins and Evolution of Imagination, From Australopithecus to Modern-Day Deep Learning” Where does imagination come from? How did it originate, and which organisms are capable of imagination? What deeper connections does imagination share with consciousness, survival, and the very essence of life? Across both scientific literature and public discourse, imagination is invoked to describe a…
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The body does not keep the score
“The body does not keep the score: trauma, predictive coding, and the restoration of metastability” For nearly a decade, the idea that “the body keeps the score” has shaped public and clinical understanding of trauma. It is an enticing metaphor—implying that experience is literally inscribed in flesh, that the body bears the scars of what…
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Top-down attention shifts event boundaries
“Top-down attention shifts behavioral and neural event boundaries in narratives with overlapping event scripts” • Default mode regions represent schematic event scripts during narrative perception • Attending to an event script impacts behavioral event segmentation and memory • Neural dynamics in the mPFC reflect the event structure of an attended script Understanding and remembering the…
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The role of context in continuity and segmentation
“The role of context in continuity and segmentation” Human experience intertwines continuity, the seamless flow of events, with segmentation, the spontaneous partitioning of experience into discrete units. Despite their cognitive significance, it is unclear whether these processes operate independently or share a common mechanism. Here we explored this question by examining the link between serial…
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Beyond Belief
“Beyond Belief: How Evidence Shows What Really Works” The remarkable story of the global movement championing the idea that evidence, not opinions, should guide our decisions. Published by Princeton University Press, April 2026. Today, more and more people around the globe are using scientific evidence to figure out what works—in health, government and business as…
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Athletes and other Animals
“Embodied decision making in athletes and other animals” Humans and other animals continuously make embodied decisions about ongoing or pending courses of action. Examples of embodied decisions include a hunting lioness’s decision of which gazelle to chase and a soccer player’s decision of which teammate to pass the ball to. The study of embodied decisions has recently…
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Persisting Human–AI Gap in Visual Creativity
“Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity“ While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non-Artists) and using an image-generation AI model (two prompting conditions with varying human input:…
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Social Observations, Decisions, Explore/Exploit
“Observational learning of exploration-exploitation strategies in bandit tasks” In decision-making scenarios, individuals often face the challenge of balancing between exploring new options and exploiting known ones—a dynamic known as the exploration-exploitation trade-off. In such situations, people frequently have the opportunity to observe others’ actions. Yet little is known about when, how, and from whom individuals…
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From reductionism to realism
“From reductionism to realism: holistic mathematical modelling for complex biological systems” At its core, the physics paradigm adopts a reductionist approach, aiming to understand fundamental phenomena by decomposing them into simpler, elementary processes. While this strategy has been tremendously successful in physics, it has often fallen short in addressing fundamental questions in the biological sciences.…
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Affective State as a central component to environmental changes
“Considering affective state as a central component of the response of animals to environmental changes” Current environmental changes are often considered as negatively impacting the affective state of animals. Yet, the interplay betweenenvironmental conditions and affective state should rather be viewed as a reciprocal and dynamic relationship, as variation in affective state likely determines how…
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Music as a scientific metaphor for mind and brain
“Music as a scientific metaphor for mind and brain” Metaphors have long played multiple roles in conceptualizing the mind and brain, guiding the development and refinement of theoretical models and empirical questions. Early analogies (comparing the brain to hydraulic systems, telephone exchanges, factories, or libraries) offered shortcuts to understanding aspects of cognition, memory, and brain…
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Active Construction of Past Episodes
“The active construction of past episodes” Episodic memories – declarative memories of past events, characterized by rich spatiotemporal context – play a central role in guiding perception and behaviour. Here, we advance a model that integrates episodic memories within the active inference framework. We describe how episodic memories are incorporated into the generative models used…
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MOPGA: Multidisciplinary science
“Multidisciplinary science funding is more than ever a planetary priority: Reflections from the Make Our Planet Great Again (MOPGA) program” Global change poses “wicked problems” that have become ever more complex, pervasive, and damaging. Developing innovative solutions increasingly require diverse research approaches. The Franco-German Make Our Planet Great Again (MOPGA) program was designed to create a unique…
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Wise Machines
“Imagining and building wise machines: the centrality of AI metacognition” Although artificial intelligence (AI) has become increasingly smart, its wisdom has not kept pace. In this opinion article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We introduce human wisdom as strategies for solving intractable problems—those outside…
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Linking fast and slow
“Linking fast and slow: The case for generative models” A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent hardware innovations and falling data storage costs enable longer, more naturalistic neuronal recordings. The implicit opportunity for understanding the self-organised brain…
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Robust Decision-Making Via Free Energy Minimization
“Robust Decision-Making Via Free Energy Minimization” html, pdf, video, Nature Communications Despite their groundbreaking performance, state-of-the-art autonomous agents can misbehave when training and environmental conditions become inconsistent, with minor mismatches leading to undesirable behaviors or even catastrophic failures. Robustness towards these training/environment ambiguities is a core requirement for intelligent agents and its fulfillment is a…
