Author: walterstiers
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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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Only then we will be on the right track.
This is more a kind of “look what is available for you all”,Open Acces and available as pdf download: Luiz Pessoa published his latest book “The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together” And, yes, the conclusion is very valuable: Ultimately, to explain the cognitive-emotional brain, we need to dissolve boundaries within the…
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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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Technology readiness levels for machine learning systems
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical debt, scope creep and misaligned objectives, model misuse and failures, and expensive consequences. Engineering systems, on the other hand, follow well-defined processes and testing standards…
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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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Commons
Garett Hardin 1 had – volgens velen – het laatste woord over de commons in zijn essay uit 1968, “The Tragedy of the Commons” 2.Aan de hand van het voorbeeld van grazende koeien betoogde hij dat iedereen die zijn eigen belang nastreeft altijd zou leiden tot overexploitatie van de gedeelde hulpbron. Elke winst die we…
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Inquisitive but not discerning
Deprivation curiosity is associated with excessive openness to inaccurate information. New psychology research reveals a dark side of curiosity states: “highly deprivation curious people have an excessive openness to information. More deprivation curious people are more likely to see meaning in meaningless gibberish sentences, and they are more likely to entertain pretty blatant disinformation”. “So…
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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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How nature nurtures … as the result of a one-hour walk in nature
I do stress the importance of walking for decision making, thinking and well-being in a variety of post.The latest article I just found suggest that going for a walk in nature can have salutogenic effects on stress-related brain regions, and consequently, it may act as a preventive measure against mental strain and potentially disease. Given rapidly…
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Begin with the decision-maker
I enjoyed the article “The first step in AI might surprise you” on AI, ML, Data Science from Cassie so much, I decided to steal some quotes: Leaders, figure out who’s calling the shots. If it’s you, then let’s designate you “The Decision-Maker“ for this project. Otherwise, delegate the position to someone else and ask them to read the…
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Walk The Thinking Path
Software “tools for thought” can amplify your thinking, but sometimes the secret to a creative workflow is as low-tech as it gets: going for a stroll. This refers to the free edition of Adjacent Possible, a newsletter about innovation (and its discontents) from Steven Johnson. The blog refers to “On the Link Between Great Thinking and…
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David – Big Ideas
“Big ideas come from the unconscious. This is true in art, in science and in advertising. But your unconscious has to be well informed, or your idea will be irrelevant. Stuff your conscious mind with information, then unhook your rational thought process. You can help this process by going for a long walk, or taking…
