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“Nocebo” calls for vaccination side effects.
Most of the side effects that people experience after a COVID-19 vaccination can be blamed on the ‘nocebo’ effect. The nocebo effect is like the evil twin of the placebo effect — for example, it heightens pain if a person anticipates that something will hurt. Researchers reviewed 12 randomized clinical trials of COVID-19 vaccines and…
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DLT decisions, 5 lessons from Walmart
I could not resist to summarize the HBR Article on “How Walmart Canada Uses Blockchain to Solve Supply-Chain Challenges”Walmart Canada applied blockchain to solve a common logistics nightmare: payment disputes with its 70 third-party freight carriers. To solve the problem it built a blockchain network. The system has not only virtually eliminated the payments problem;…
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“active learning conditions” stimulate common processes that become part of the representations
There is an emerging consensus on the virtues of active learning methods for improving student performance. Such learning methods can be any instruction or technique that requires students to actively engage in the learning process, as compared to more traditional, passive ways of learning.One form of active learning is retrieval practice (RP), where the activity…
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9 out of 10 fail, but ACM and AIT might help… recalibrating/updating stress responsivity patterns
Future-Proofing Startups: Stress Management Principles Based on Adaptive Calibration Model and Active Inference Theory Adaptive Calibration Model (ACM) and Active Inference Theory (AIT) are related to future-proofing startups. – ACM encompasses the allocation of energy by the stress response system to alternative options for action, depending upon individuals’ life histories and changing external contexts. –…
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Break the wall of disciplines: Internal and external transformation for sustainability and climate
The growing need to respond the quest for sustainability, raises the importance of good decision making. A great article just published, relates good sustainable decisioning to internal and external transformations needed. The authors propose an integrated model of change as an agenda and roadmap for future research, policy and practice. Some intersting text snippets: From…
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What Does It Mean for AI to Understand?
Melanie Mitchell has a great article, she just announced at Complexity Digest: Language models can generate uncannily humanlike prose (and poetry!) and seemingly perform sophisticated linguistic reasoning. How can we test if these machines actually understand what they’re doing? Read the full article at: www.quantamagazine.orghttps://www.quantamagazine.org/what-does-it-mean-for-ai-to-understand-20211216/# Understanding language requires understanding the world, and a machine exposed only…
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Refocus your “Information Lens” everytime again…
A great comment appeared today on the site of Nature:Decision makers need constantly updated evidence synthesis “Science does not stand still; neither should its synthesis and translation into action.” Startin with a focus on COVID-19, it clearly states the wider importance: Evidence synthesis .. helps to tackle questions in education, economics, environment, criminal justice, global…
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Binary “Space-Time decisions” accumulate
There was this great article in PNAS, recently: The geometry of decision-making in individuals and collectives. Luis M. Rocha posted a perfect summary on twitter: In biology, complex dynamics so often lead to binary (thresholded/critical) decision: “we predict that the brain repeatedly breaks multichoice decisions into a series of binary decisions in space–time”.
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“it’s a walk in the park”
“It’s not rocket science” and “It’s not brain surgery” The phrases “It’s not rocket science” and “It’s not brain surgery” are commonly and interchangeably used for tasks or concepts that are easy Using such phrases suggests that both specialties are put on a pedestal of being difficult or requiring exceptional cognitive abilities Whether they are…
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World Model – “Free Energy” Selections of Perception & Policy
During their lives humans constantly interact with the physical environment, as well as with themselves and others.World model learning and inference are crucial concepts in brain and cognitive science, as well as in AI and robotics. The outstanding challenges of building a generalpurpose AI needs world modelling and probabilistic inference, needed to realise a brain-like…
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Designing for Human-AI interaction is hard. (So steal like an artist :-)
Following is and interesting article/blog , and just “stolen like an artist” from https://www.simonoregan.com/short-thoughts/the-design-difficulties-of-human-ai-interaction Designing for Human-AI interaction is hard. Here Yang et al. catalog where designers run into problems when applying the traditional 4Ds process to designing AI systems. These difficulties can be broadly attributed to two sources: This uncertainty and complexity combination then…
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Bernard Haitink – The orchestral master in “magic of true leadership”
Next to information sciences, I’ve also a passion for orchestral music.As such, I feel sad about the end of a living legend. Luckily, the recordings will remain, and I had the pleasure to attend (at the BPO concert hall) his last performance of Bruckner 7 with the Berliner Philharmoniker. Conductors have the great power of…
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VVUQ your model and twin – should we trust ?
The world is moving towards digital twins. I recently came across a insightfull article: A probabilistic graphical model foundation for enabling predictive digital twins at scale, available at Arxiv – & published Nature The digital twin is a set of coupled computational models that evolve over time to persistently represent the structure, behavior, and context…
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Learning: Brain vs xNN
The neural and cognitive architecture for learning from a small sample is a nice article I would like to recommend. It highlights how human learners avoid generalization issues found in machine learning, proposes a general model explaining how the brain may simplify complex problems. Synergy between cognitive functions and reinforcement learning allows simplification.Recurrent loops between…
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Less = More, “Lets Kill”
One of the great readings recently was the article from Adams, G.S., Converse, B.A., Hales, A.H. et al. in Nature: People systematically overlook subtractive changes. The summary video, clearly marks the point: Experiments show that people default to adding as a solution in various situations. It appears to be an uncommon insight. When solving problems, people prefer adding…
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Can we get human nature right?
For years, I have the pleasure to follow the great blog site of Deric Brownd. I would like to share with you this post on the recent perspective on ‘Can we get human nature right?‘. Iris Berent does an interesting Perspective artice in PNAS that considers the strong intuitions that laypeople hold about human nature. People’s attitudes…
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