Category: Decision Intelligence
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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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Friston: The Genius Neuroscientist Who Might Hold the Key to True AI, WIRED says.
Karl Friston’s free energy principle might be the most all-encompassing idea since Charles Darwin’s theory of natural selection. But to understand it, you need to peer inside the mind of Friston himself. Wired has a great article on this idea and researcher.Some inspiring exerpts and quotes: He realized that [it] had no larger purpose, at…
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