Tag: #Uncertainty
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Was I fooled or wasn’t I?
“What Is the Name of This Book?-The Riddle of Dracula and Other Logical Puzzles, by Raymond M. Smullyan” My introduction to logic was at the age of six. It happened this way: On April 1, 1925, I was sick in bed with grippe, or f lu, or something. In the morning my brother Emile (ten…
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The ‘made-up mind’.
“The ‘made-up mind’. Deriving new hypotheses on delusions from general psychological models of belief maintenance” Highlights Contemporary definitions of delusions highlight their resistance to conflicting evidence as the core feature, but there has been little progress in understanding why even explicit confrontation with contradicting evidence seldom leads to belief revision. This review aims to generate…
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Responsible Modeling
Responsible modelling and the ethics of mathematics for decision support Mathematical models are used to inform decisions across many sectors including climate change, finance, and epidemics. But models are not perfect representations of the real world – they are partial, uncertain and often biased. What, then, does responsible modelling look like? And how can we…
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misguidedly radical ideas?
“Is bad philosophy holding back physics?“ Carlo Rovelli states:“My hunch is that it is at least partly because physicists are bad philosophers. Scientists’ opinions, whether they realize it or not (and whether they like it or not), are imbued with philosophy. And many of my colleagues — especially those who argue that philosophy is irrelevant…
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Is Ockham’s razor losing its edge?
Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models for scientific inquiry (e.g., for 3D…
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Predecisional information search adaptively reduces uncertainty
“Predecisional information search adaptively reduces three typesof uncertainty“ How do people search for information when they are given the opportunity to freely explore their options? Information search is an integral part of the decision-making process. Every choice we make is based on information that must first be obtained. In many cases, information search is inherently…
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Will We Ever Have Conscious Machines?
The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of being really self-aware or merely a clever imitation cannot be answered without access to knowledge about the mechanism’s…
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Insight –> selection of ideas
“Insight and the selection of ideas” describes the mechanisms underlying Eureka heuristic, explained within an active inference framework. Perhaps it is no accident that insight moments accompany some of humanity’s most important discoveries in science, medicine, and art. Here we propose that feelings of insight play a central role in (heuristically) selecting an idea from…
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It Takes Two To Think
The title refers to the recent article by Yanai & Lercher. (Itai Yanai is a Professor at the NYU School of Medicine. Martin Lercher is Professor at Heinrich Heine University Düsseldorf at both the Institute for Computer Science and the Department of Biology. ) At the heart of science is a creative ‘night science‘ process,…
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Stats don’t show enough
Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing has some great figures I want to share. They show datasets which are identical over a number of statistical properties, yet produce dissimilar graphs, are frequently used to illustrate the importance of graphical representations when exploring data. As a geo-scientists,…
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Information theory: A foundation for complexity science
Amos Golan and John Harte published a perspective paper, consolidating the insights and research on knowledge and models from incomplete information in complex environments, based on MaxEnt Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting…
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Rethinking Computational Approaches to the Mind
Rethinking Computational Approaches to the Mind Fundamental Challenges and Future Perspectives One-day Online Symposium21st October 2022 REGISTER HERE This one-day online event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches…
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Where the senses fail us, reason must step in
It is true that the unique human ability to reason is what allows for science, technology, and advanced problem-solving. But there are limitations to reason. Highly deliberative people tend to be less empathetic, are often perceived as less trustworthy and authentic, and can undermine their own influence. Ultimately, the supposed battle between head and heart is overblown.…
