Tag: #TheInformationLens
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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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“CAUSEME” to benchmark causal methods
The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the…
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Prediction: multi-scale pattern completion of the future
The notion of the brain as a prediction machine has been extremely influential and productive in cognitive sciences.One prominent framework is of a “Bayesian brain” that explicitly generates predictions and uses resultant errors to guide adaptation. The prediction-generation component of this framework may involve little more than a pattern completion process. Brain-like systems can get…
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Over-reliance on English hinders
Several studies report a ‘bilingual advantage’ for cognitive control: the ability to plan, focus, and execute a wide array of tasks is better among bilinguals compared with monolinguals, in particular among older adult bilinguals. Nonetheless, this bilingual advantage is not replicated consistently, as the effect is heavily modulated by task, age of participants, and bilingual…
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Designing Ecosystems of Intelligence from First Principles
Karl Friston joins VERSES as Chief Scientist to Lead New Era in Artificial Intelligence.VERSES published its research paper to arxiv.org to explore the applications and implications of Active Inference on the future of Artificial Intelligence. “Designing Ecosystems of Intelligence from First Principles” lays out a vision of research and development in the field of artificial intelligence…
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Take your time to consider the possibilities and options
Representations of possible actions pervade human high-level cognition, and shape how we plan, attribute causal responsibility, comprehend language, and make moral judgments.There are too many ‘possible actions’ for us to consider them all. Recent studies offer a strikingly convergent picture of how we call to mind a limited, useful set of possible actions to consider.This…
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Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly increasing. Surprisingly, the development of theory and domain-specific applications often occur in isolation, risking an effective disconnect between theoretical and methodological advances and the way network science is employed in practice. . In this work, we will focus on three intimately related…
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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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“decrease the mental-self-processing & a synchronization with the interoceptive and exteroceptive-self-processing”.
I stated in a previous post the insight into our neurology of meditation, in order to attain our goal to keep it simple, but often fail to realize it. I already suggested, we need “to kill our darlings” in order to be open to the full context of the terrain we’re exposed to. A recent paper…
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Beliefs and Inference
Beliefs are propositions about the true states of the world.Active inference—a process theory based on the free energy principle—describes how an agent forms and updates beliefs.The active inference framework posits that the agent (i) observes the world, (ii) infers the causes of the observations, and (iii) forms beliefs about the external states of the world.…
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Statistics: Are you Bayesian or Frequentist?
Cats bring success – they are ket part of the internet traffic and enjoyment. So let me show a great pic: The real purpose of the cats-pics (delivered by a dog person) is the great video and article from Cassie Kozyrkov What is the difference between Bayesian and Frequentist statistics? (demonstrated with one single coin…
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Cynefin – Sensemaking
Het Cynefin® framework werd als “sensemaking” door Dave Snowden ontwikkeld vanuit een natuur-wetenschappelijke insteek, met als een doel projecten te laten evolueren vanuit de bestaande toestand, en de mogelijke evoluties in te schatten, in plaats van een vooraf gedefinieerd einddoel te fixeren. Cynefin® is in wezen een beslissingsondersteunend kader (framework), geen methode of model.Het is…
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Beslissen: FEP, AI, Bayes
“We sample the world to ensure our predictions become a self-fulfilling prophecy.” Karl Friston De beslissingswetenschappen en neurowetenschappen werden recent verrijkt door het principe van vrije energie (Free Energy Principle / FEP) van Karl Friston. FEP is misschien wel het meest allesomvattende idee sinds de theorie van natuurlijke selectie van Charles Darwin. Samenvattend is het…
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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…
