Category: Decision Intelligence
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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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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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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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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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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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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…
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The Information Lens – helping to correct the failure of the Perceptron
In the rich history of information processing, the idea of the perceptron occurred, based on the founding ideas of the artificial neuron (McCulloch and Pitts, 1943). Including the available knowledge of learning, Frank Rosenblatt constructed the perceptron devices, building the first of artificial learning machines, and as such creating the first neural nets in 1957. As referenced in “Calling Bullshit” (Ch. 8, intro),…
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AI: Analogy Included ?
There is a great Quanta article on Melanie Mitchell, discussing her effort to include analogy into AI. Some quotes: “Today’s state-of-the-art neural networks are very good at certain tasks, but they’re very bad at taking what they’ve learned in one kind of situation and transferring it to another” — the essence of analogy. “Analogy isn’t…
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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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Six problem-solving mindsets for very uncertain times
McKinsey has a nice article helping to solve undecidability under uncertainty.And since a picture is worth so many words: Six mutually reinforcing approaches underly their success: (1) being ever-curious about every element of a problem;Think of the never-ending “whys”. Natural human biases in decision making, including confirmation, availability, and anchoring biases, often cause us to shut down…
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Decision Intelligence – some basics
Google’s chief decision scientist Cassie Kozyrkov says that the ultimate business advantage in using AI is decision intelligence — the automation of the full action-to-outcome process. “Decision intelligence is the discipline of turning information into better actions at any scale.” If you think that AI takes the human out of the equation, think again! Cassie Kozyrkov, Introduction to Decision…
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Nice quote ..
I do like followin quote from “How decision intelligence supported by AI and analytics help businesses?“, since it is putting the human capabilities in front … Decision intelligence substantially works on major steps, including collecting and observing information, investigating the data collected, modeling actions, and contextualizing and executing the model…Incorporating both human and machine capabilities…
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