Tag: technology
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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 exhibit a striking tendency to persist with chosen goals. This strong attachment to goals can often appear irrational – a perspective captured by terms such as perseverance or sunk-cost biases. In this review, we explore how goal commitment could stem from several adaptive mechanisms, including those that optimise…
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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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