Category: Decision Intelligence
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Machine Learning Article deserves to have the best ‘Plain Language Summary’
I share the opinion that “all plain language summaries should aspire to the glorious heights of this piece of literary art.”I also like the conclusion presented 🙂
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Why Can the Brain (And Not a Computer) Make Sense of the Liar Paradox?
Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? This paper addresses this question by defining the Strange Loop Model, which features causal feedback between two brain modules,…
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Characteristics, potentials, and challenges of transdisciplinary research
Resolving the grand challenges and wicked problems of the Anthropocene will require skillfully combining a broad range of knowledge and understandings—both scientific and non-scientific—of Earth systems and human societies. One approach to this is transdisciplinary research, which has gained considerable interest over the last few decades, resulting in an extensive body of literature about transdisciplinarity.…
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Complex Data and Models lead to Ascendency Analysis
When making decisions, data might not be overlooked, nor the methodology to collect and interprete them. Especially in complex matteras as sustainability and circular economy, data, the collection and interpretation is key in helping our understanding and guiding our decisions. The EU JRC just published a great overview report on “Domestic Footprint of the EU…
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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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“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. –…
