Category: Decision Intelligence
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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…
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Metacognition accompanying decision-making
Decision-making is usually accompanied by metacognition, through which a decision maker monitors uncertainty regarding a decision and may then consequently revise the decision. These metacognitive processes can occur prior to or in the absence of feedback. The neural mechanisms of metacognition remain controversial. A novel “decision–redecision” paradigm to investigate the neural metacognitive processes involved in…
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Enriched Environment helps decision
Inter-Individual Differences in Cognitive Tasks: Focusing on the Shaping of Decision-Making Strategies is a recent publication about the Mouse Gambling Task. It revealed about 30% of healthy mice displaying risk-averse choices while about 20-25% of mice make risk-prone choices. These strategies are accompanied by different brain network mobilization and individual levels of regional -prefrontal and…
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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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