Tag: #TheInformationLens
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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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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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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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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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