Category: #Sensemaking
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AI can distort human beliefs
Without a zone of uncertainty plus other troubling features, generative AI is poised to amplify bias and falsehoods, distort human perception. Individual humans form their beliefs by sampling a small subset of the available data in the world. Once those beliefs are formed with high certainty, they can become stubborn to revise. Fabrication and bias…
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Facts are not enough
Claude Garcia & Patrick Waeber developed a framework based on behavioural and cognitive sciences, game theory, and set theory that helps us understand decisionmaking in the context of uncertainty. It was published recently in a nice article on the researchfeatures of researchoutreach. Every single day we make thousands of decisions. Even if it is unclear…
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Decoding reward–curiosity conflict in decision-making from irrational behaviors
Humans and animals are not always rational. “Decoding reward–curiosity conflict in decision-making from irrational behaviors” discusses the fact humans not only rationally exploit rewards but also explore an environment owing to their curiosity. However, the mechanism of such curiosity-driven irrational behavior is largely unknown. The article develops a decision-making model for a two choice task…
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Creativity in Motion
Some publications related to this topic: Embodiment and Human Development It is becoming increasingly accepted that the study of cognitive, social, and emotional processes must account for the embodiment of these processes in living, acting people. Within cognitive science, how bodily factors play a role in mental life is often considered through the lens of…
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Social and Affective Neuroscience of Everyday Human Interaction
I found – rather serendipitous – this recent, open access and very interesting book “Social and Affective Neuroscience of Everyday Human Interaction“, edited by Springer 2023. This Open Access book presents the current state of the art knowledge on social and affective neuroscience based on empirical findings. Some highlights as appetiser: Molecular Imaging of the…
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Avoid the Hijack – Be Emotionally Intelligent
An 80-Year Harvard Study Shows Emotionally Intelligent People Use the Wiser Model to Handle Strong Emotions Don’t let your emotions hijack your actions.Slow down and choose better with the Wiser model. What follows is based on the original text of an Inc.com article by Jessica Stillman, dated May 4, 2023.The opinions expressed here by Inc.com columnists are…
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Ten tips for facilitating emergent processes
I just discovered a nice medium article/blog entry from Sonja Blignaut on working towards emergent solutions for wicked situations. I just summarise, but details are in the article. Facilitating emergent group processes requires a different kind of facilitation. When you’re not working towards a predetermined outcome, following a pre-designed agenda, the following principles are helpful…
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Size and Weight
I already referred to “You Are Not Expected to Understand This”, in which two chapters refer to space & information correctness: This book was meant to be a review of the human stories behind programming, enabling those of us who don’t think much about code to recognize its importance, and those who work with it every…
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Can Creativity Be Stored? Yes, and It Should Be
For those of us who are not creative, it is difficult to imagine how creative people work.The explanation for the messy creative person and the uncreative brainstorming session can be found in research by Poornika Ananth and Sarah Harvey published in Administrative Science Quarterly. They had a big study of creative individuals in theatre and architecture, and…
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The evolution of universal cooperation
Humans work together in groups to tackle shared problems and contribute to local club goods that benefit other group members. Whereas benefits from club goods remain group bound, groups are often nested in overarching collectives that face shared problems like pandemics or climate change. Such challenges require individuals to cooperate across group boundaries, raising the…
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Brain-Behavior relationships
“Improving the study of brain-behavior relationships by revisiting basic assumptions” discusses how scientific communities tacitly agree on assumptions about what exists (called ontological commitments), what questions to ask, and what methods to use. All assumptions are firmly rooted in a philosophy of science that need not be acknowledged or discussed but is practiced nonetheless. In…
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The Art of Abduction
Abductive reasoning typically begins with an incomplete set of observations and proceeds to the likeliest possible explanation for the set. Abductive reasoning yields the kind of daily decision-making that does its best with the information at hand, which often is incomplete. A medical diagnosis is an application of abductive reasoning: given this set of symptoms,…
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As a human it would be quite easy to spot
Man beats machine at Go in human victory over AI A human player has comprehensively defeated a top-ranked AI system at the board game Go, in a surprise reversal of the 2016 computer victory that was seen as a milestone in the rise of artificial intelligence. Kellin Pelrine beat the machine by taking advantage of…
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The complexities of knowledge co-production
Practical wisdom and virtue ethics for knowledge co-production in sustainability describes how since antiquity, philosophers in the Western tradition of virtue ethics have declared practical wisdom to be the central virtue of citizens involved in public and social life. Practical wisdom is of particular importance when values are conflicting, power is unequal and knowledge uncertain.…
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“Average is good, extremes are bad”
Traditionally, studies emphasize differences in neural measures between pathological and healthy groups, assuming a binary distinction between the groups, and a linear relationship between neural measures and symptoms. A continuous relation across the divide of normal and pathological states between neural measures and mental functions shows a relation which can be characterized by a nonlinear…
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Beware the “lure of models”
Scientists cannot help but use models says Mark Buchanan. Models help to clarify the consequences of theoretical assumptions, or to draw out complex lines of cause and effect … Without simplified conceptual models, scientific communication itself would be largely impossible.Of course, mathematical models also underlie some of the sciences’ most impressive achievements, like e.g. today’s…
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How mathematics invented new realities
Although Euclid’s ideas about geometry in 300 BC were rooted in physical reality, the field became ever more abstract throughout the twentieth century.In her new book, historian Alma Steingart reveals how this push for abstraction was mirrored by, and often triggered, parallel trends in economics, sociology, psychology and political science. (Axiomatics: Mathematical Thought and High Modernism…
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“CAUSEME” to benchmark causal methods
The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the…
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Prediction: multi-scale pattern completion of the future
The notion of the brain as a prediction machine has been extremely influential and productive in cognitive sciences.One prominent framework is of a “Bayesian brain” that explicitly generates predictions and uses resultant errors to guide adaptation. The prediction-generation component of this framework may involve little more than a pattern completion process. Brain-like systems can get…
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Designing Ecosystems of Intelligence from First Principles
Karl Friston joins VERSES as Chief Scientist to Lead New Era in Artificial Intelligence.VERSES published its research paper to arxiv.org to explore the applications and implications of Active Inference on the future of Artificial Intelligence. “Designing Ecosystems of Intelligence from First Principles” lays out a vision of research and development in the field of artificial intelligence…
