Tag: #TheInformationLens
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Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
This post is a pointer to a great article from Michael Levin, just published in Frontiers in Systems Neurosciences All known cognitive agents are collective intelligences, because we are all made of parts; biological agents in particular are not just structurally modular, but made of parts that are themselves agents in important ways. There is…
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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. –…
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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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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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Biological thinking – BCG
I want to share this BCG article on Biological Thinking, messy management for a complex world. Biological thinking matters for several important reasons: First, in complex adaptive systems, there is no single formula or framework that always works. In fact, the very defiance of formulaic problem solving is what makes CAS management so challenging initially.…
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Information Lens – More than IT
The Information Lens principle is showing clear in the economics of recent times. A shift from the current globalized capitalism towards more value-based and stakeholder driven economies is happening slowly. In order to make this happen, the economies have to bring in the insights and information on these stakeholders and values, including a data-economy. “Globalization…
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Mitchell on AI: key misunderstandings
4 key misunderstandings in AI is an interesting blog entry, discussing following topics:– Narrow AI and general AI are not on the same scale– The easy things are hard to automate – Anthropomorphizing AI doesn’t help – AI without a body– Common sense in AI The blog is based on a great paper from Melanie…
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Information Lens – Workshop
The “information century” was launched by Turing’s 1936 invention of a hardware-independent notion of computing, a “universal computer” that could be programmed to simulate any other computer; and by Shannon’s 1948 discovery of a mathematical theory of communications independent of their physical form and even their meaning. Arguably, we are today in the midst of…
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