Tag: #DecisionIntelligence
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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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“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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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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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…
Surtil : 