Tag: #DecisionIntelligence
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Novel beings, novel goals
Every now and then there is the opportunity to get the a clear overview on the actual state of research on biology, intelligence, the artificial and it’s overlap towards future capabilities. “Novel beings, novel goals: evolution & engineering of the agential material of life | Dr. Mike Levin‘ is available on youtube. Dr. Michael Levin…
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Limitarism – A bliss
Ingrid Robeyns’s Limitarianism: The Case Against Extreme Wealth, a powerful case for limitarianism–the idea that we should set a maximum on how much resources one individual can appropriate. A must-read! (so says Thomas Piketty). Ingrid Robeyns’ Limitarianism is a recent addition in a long line of critiques – such as Thomas Piketty’s Capital and Branko Milanovic’s Visions of Inequality – of the…
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Equality is essential for sustainability.
In following, I resume 3 recent articles on this most valuable topic, related to the survival of our environment, societies and species. Why the world cannot afford the rich Equality is essential for sustainability. The science is clear — people in more equal societies are more trusting and more likely to protect the environment than…
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The Elephant and the Blind: The Experience of Pure Consciousness
Thomas Metzinger’s latest book from MIT Press is focused on the experience of “pure awareness” as an investigation of the most basic fundamental nature of consciousness This specific experience, is the most important thing I have ever experienced in my life, as a personal attestation It is available for free here or also as pdf…
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Bayesian model: prior–cost
Sohna and Jazayeri discuss in “Validating model-based Bayesian integration using prior–cost metamers” the two competing views on how humans make decisions under uncertainty. Bayesian decision theory (BDT) posits that humans optimize their behavior by establishing and integrating internal models of past sensory experiences (priors) and decision outcomes (cost functions). An alternative hypothesis posits that decisions…
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Representation of priors and decisions
The PLOS article by Marshall, Ruesseler, Hunt, O’Reilly “representation of priors and decisions in the human parietal cortex” discusses how both humans and animals actively sample the environment using their sensory organs, far from being passive recipients of sensory information. In rodents, active sampling processes include whisking and sniffing; in primates, the most important and…
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Dynamic task-belief is an integral part of decision-making
Natural decisions involve two seemingly separable processes: inferring the relevant task (task-belief) and performing the believed-relevant task. The assumed separability has led to the traditional practice of studying task-switching and perceptual decision-making individually. In this study, “Dynamic task-belief is an integral part of decision-making”, Xue, Kramer and Cohen used a novel paradigm to manipulate and…
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It Takes Two To Think
The title refers to the recent article by Yanai & Lercher. (Itai Yanai is a Professor at the NYU School of Medicine. Martin Lercher is Professor at Heinrich Heine University Düsseldorf at both the Institute for Computer Science and the Department of Biology. ) At the heart of science is a creative ‘night science‘ process,…
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Penguin Update 12/2023
The Leif Penguinson article I wrote a while ago refers to an article in Nature, which got updated. Of course, you always can have your regular “Can you spot the penguin?” when you follow the Nature Briefings
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An New Law Needed?
On the roles of function and selection in evolving systems - by Michael L. Wong, et al. (2023) Systems of many interacting agents display an increase in diversity, distribution, and/or patterned behavior when numerous configurations of the system are subject to selective pressure. The universe is replete with complex evolving systems, but the existing macroscopic physical laws…
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Generating meaning – AI²: predicting wor(l)ds
I would like to quote some of the great insights and statements from the opinion by G. Pezzulo, T. Parr, P. Cisek, A Clark, and K. Friston published in TICS: “Generating meaning: active inference and the scope and limits of passive AI“. Does ChatGPT ‘understand‘ what it talks about in the way we do, or…
