Category: Decision Intelligence
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Technology readiness levels for machine learning systems
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical debt, scope creep and misaligned objectives, model misuse and failures, and expensive consequences. Engineering systems, on the other hand, follow well-defined processes and testing standards…
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Statistics: Are you Bayesian or Frequentist?
Cats bring success – they are ket part of the internet traffic and enjoyment. So let me show a great pic: The real purpose of the cats-pics (delivered by a dog person) is the great video and article from Cassie Kozyrkov What is the difference between Bayesian and Frequentist statistics? (demonstrated with one single coin…
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Cynefin – Sensemaking
Het Cynefin® framework werd als “sensemaking” door Dave Snowden ontwikkeld vanuit een natuur-wetenschappelijke insteek, met als een doel projecten te laten evolueren vanuit de bestaande toestand, en de mogelijke evoluties in te schatten, in plaats van een vooraf gedefinieerd einddoel te fixeren. Cynefin® is in wezen een beslissingsondersteunend kader (framework), geen methode of model.Het is…
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Beslissen: FEP, AI, Bayes
“We sample the world to ensure our predictions become a self-fulfilling prophecy.” Karl Friston De beslissingswetenschappen en neurowetenschappen werden recent verrijkt door het principe van vrije energie (Free Energy Principle / FEP) van Karl Friston. FEP is misschien wel het meest allesomvattende idee sinds de theorie van natuurlijke selectie van Charles Darwin. Samenvattend is het…
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Rethinking Computational Approaches to the Mind
Rethinking Computational Approaches to the Mind Fundamental Challenges and Future Perspectives One-day Online Symposium21st October 2022 REGISTER HERE This one-day online event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches…
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Begin with the decision-maker
I enjoyed the article “The first step in AI might surprise you” on AI, ML, Data Science from Cassie so much, I decided to steal some quotes: Leaders, figure out who’s calling the shots. If it’s you, then let’s designate you “The Decision-Maker“ for this project. Otherwise, delegate the position to someone else and ask them to read the…
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David – Big Ideas
“Big ideas come from the unconscious. This is true in art, in science and in advertising. But your unconscious has to be well informed, or your idea will be irrelevant. Stuff your conscious mind with information, then unhook your rational thought process. You can help this process by going for a long walk, or taking…
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Who does (not) decide – about decisions & data
Decision-driven data I like data-driven decisions, but I like decision-driven data more. Decision-driven data is what you get when: Tech founders make a decision about– what kind of data to collect and NOT to collect Tech owners make a decision about– what kind of data to use and NOT to use Tech users make a…
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Exploite to explore mentation while growing old
Changes in cognition, affect, and brain function combine to promote a shift in the nature of mentation in older adulthood, favoring exploitation of prior knowledge over exploratory search as the starting point for thought and action. In humans, the exploration versus exploitation trade-off has been extensively studied in young adults. Yet there is growing evidence that the determinants and…
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Are Dogs outsmarting human primates?
I just love the intelligence of nature, behaving as a complex adaptive system, working with minimal effort to a beneficial solutions. As such, nature often behaves smarter than self-conscious human primates, without going into difficult reasoning and decision making processes. A great text putting this fact into evidence is the 2012 lecture “The dog and…
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Where the senses fail us, reason must step in
It is true that the unique human ability to reason is what allows for science, technology, and advanced problem-solving. But there are limitations to reason. Highly deliberative people tend to be less empathetic, are often perceived as less trustworthy and authentic, and can undermine their own influence. Ultimately, the supposed battle between head and heart is overblown.…
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task-related information and form functional networks encode both sensory input and behavioral choice.
Cortical processing of task-relevant information enables recognition of behaviorally meaningful sensory events. How task-related information is represented within cortical networks by the activity of individual neurons and their functional interactions was investigates. A subset of neurons transiently encode sensory information used to inform behavioral choice. These neurons form functional networks in which information transmits sequentially.…
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Fractal Organization
A recent BCG article “The Organization of the Future Is Fractal” has a clear description of what John Seely Brown expresses as “we’ve moved from the age of enlightenment to the age of entanglement where sense-making aided by imagination is now more critical than ever.” Over the past 50 years or more, as the global…
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Nos mythologies économiques
Économie : la raison économique ou comment déconstruire les idées reçues Éloi Laurent est économiste à l’Observatoire français des conjonctures économiques. Pour lui le discours économique actuel est parcouru de fausses assertions, comme par exemple “la protection sociale est ce qui empêche la croissance économique”. Dans “La raison économique et ses monstres, volume 3”, il s’efforce de…
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Plan with “value-guided construal”
When people plan, they do so by constructing a simplified mental representation of a problem that is sufficient to solve it—a process that we refer to as value-guided construal. An ideal, cognitively limited decision-maker should construe a task so as to balance complexity and utility. Preregistered predictions of this model explain people’s awareness, ability to…
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The Why, How, and When of Representations for Complex Systems
Complex systems, composed at the most basic level of units and their interactions, describe phenomena in a wide variety of domains, from neuroscience to computer science and economics. The wide variety of applications has resulted in two key challenges: the generation of many domain-specific strategies for complex systems analyses that are seldom revisited, and the…
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Will it ever happen?
Evolution of Brains and Computers: The Roads Not Taken – Can machines ever achieve true intelligence? , is a perspective article in entropy by Ricard Solé and Luís F. Seoane, has a great discussion on intelligence. When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and…
