Tag: technology
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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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Wise Machines
“Imagining and building wise machines: the centrality of AI metacognition” We examine the why and the how of building wise artificial intelligence. Wisdom helps humans navigate intractable problems through object-level strategies (for managing problems) and metacognitive strategies (for managing object-level strategies). Wise metacognition includes strategies such as intellectual humility, perspective-taking, and context adaptability. Wise artificial…
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Why collective behavioursself-organize to criticality
“Why collective behaviours self-organize to criticality: a primer on information-theoretic and thermodynamic utility measures” Collective behaviours are frequently observed to self‑organize to criticality. Existing proposals to explain these phenomena are fragmented across disciplines and only partially answer the question. This primer compares the underlying, intrinsic, utilities that may explain the self‑organization of collective behaviours near…
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Stubborn Goals: the adaptive value
“The adaptive value of stubborn goals” Humans show strong attachment to goals they have selected. While often framed as a maladaptive bias, we outline three adaptive functions leading to stable goals: efficient cognitive resource allocation, shielding from interference, and scaffolding motivation in the absence of immediate and tangible reward signals. These considerations shape the algorithmic…
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Fast, slow, & metacognitive
“Fast, slow, and metacognitive thinking in AI” Inspired by the ”thinking fast and slow” cognitive theory of human decision making, we propose a multi-agent cognitive architecture (SOFAI) that is based on ”fast”/”slow” solvers and a metacognitive module. We then present experimental results on the behavior of an instance of this architecture for AI systems that…
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Towards embodied intelligence
“Intelligent soft matter: towards embodied intelligence” Intelligent soft matter lies at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field aims to create materials with life-like capabilities, such as perception, learning, memory, and adaptive behavior. Unlike traditional materials, which typically perform static…
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Known and Unknown Biases
“Known and Unknown Biases: A Framework for Contextualising and Identifying Bias in Animal Behaviour Research“ (This article discusses the bias in animal behaviour research, but – as known to most readers, I hope – humanes too are members of the animal kingdom 🙂 Biases in animal behaviour research are inevitable consequences of our societal and…
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Horizon Scanning
EU policy lab released a set of “signal cards“. More information available at “In the mood for the future with Horizon Scanning Cards“ The Signal Cards come out of the ESPAS Horizon Scanning activity, in which we present and analyse emerging trends, technologies or generally signs of new which we identified through the horizon scanning…
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Complexity data science
“Complexity data science: A spin-off from digital twins “ Digital twins offer a new and exciting framework that has recently attracted significant interest in fields such as oncology, immunology, and cardiology. The basic idea of a digital twin is to combine simulation and learning to create a virtual model of a physical object. In this paper,…
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The power of mathematical models for better policy decisions
“Harnessing the power of mathematical models for better policy decisions” sets out four practical recommendations to help policymakers across a wide range of policy areas effectively capitalise on, and sidestep pitfalls of, using mathematical models for decision-making. Decision-makers are often keen to “follow the science” in highly-charged contexts such as climate policy, pandemic response, economic…
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Humans rationally balance abstract world models
This work adds to a growing body of research showing that the brain arbitrates between approximate decision strategies. The current study extends these ideas from simple habits into usage of more sophisticated approximate predictive models, and demonstrates that individuals dynamically adapt these in response to the predictability of their environment. How do people model the…
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Defining intelligence: Bridging the gap
“Defining intelligence: Bridging the gap between human and artificial perspectives“ Proposes unified definitions for human and artificial intelligence. Distinguishes between artificial achievement/expertise and artificial intelligence. Advocates for AI metrics to ensure good quality AI system evaluations. Describes artificial general intelligence (AGI) mirroring human general intelligence. Evidence currently favours presence of artificial achievement over intelligence. Achieving…
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regulation of motivated behavior
in “A unified theoretical framework underlying the regulation of motivated behavior“, Yu-Been Kim, Young Hee Lee, Shee-June Park and Hyung Jin Choi explain that multiple psychological components have evolved in order to orchestrate behaviors for survival. Despite several theories regarding behavior regulation, these theories do not clearly distinguish distinct components and do not explain the…
