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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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We do not only need multi-stakeholder, there is also an urgent need to reflect about future generations: “Being a Good Ancestor.”
I just finished a nice reading on how we might motivate ourselves to think about a sustainable future. “The Good Ancestor” from Roman Krznaric is great in helping us to understand the urgent need to stop living in the tiranny of the now, and working toward long term thinking and intergenerational justice. Roman has strong…
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The magic of walking ….
I already suggested once: “Maybe – in this upcoming world of AI – we should not just walk on our own, but also ask our AI system to take a break and reflect on the good nature of its activities.” This suggestion is maybe more challenging for the AI and relevant for humans, according to…
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Ready, Steady, Go AI
AI is a potential solution to the challenge of turning big phenomics data into insights. Ready, Steady, Go AI is an interactive tutorial for disease classification that has been of significance as the foundation for achieving digital phenomics. It is designed as an open-source, freely available code via virtual lab notebooks to empower not only…
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The impact of technology on the human decision-making process
Interesting article available in open access from Human Behavior and Emerging Technologies open access: https://onlinelibrary.wiley.com/doi/full/10.1002/hbe2.257 The significant contribution … is that it analyzes the biases that may arise during the decision-making process as a result of technology adoption.
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The most interesting design problem is your life.
This blog is based on “How to use design thinking to create a happier life for yourself“, which combines the great tools and mindset of design thinking for making life choices. At Stanford, Dave Evans and Bill Burnett teach a class called “Designing Your Life,” which led the book Designing Your Life, Designing Your Work Life and a…
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Skills in Space
Mind in Motion: How Action Shapes Thought is a great book by Barbara Tversky. In this book, she argues that spatial thinking is the foundation of all thought, including abstract thinking. When there are too many thoughts to hold in mind, we put those thoughts into the world in various ways, and the way we put…
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Reimagining Capitalism
Interesting session on maye one of the biggest challanges modern world is experiencing.
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Does the quality of “Smart Information Processing” connect with the Default Mode Network ?
I was triggered by an article in Nature, explaining the atypical connectome hierarchy in ASD (Autism Spectrum Disorder). ASD is characterized by atypical sensory processing, while and deficits in high-level cognitive and social functions, including impairments in Theory of Mind and predictive abilities. The article points out that ASD might emerge from disturbances in macroscale cortical…
