Tag: #DecisionIntelligence
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“don’t hate the players, change the game” – The dark side of competition in AI
Competition. It’s a fundamental part of human nature. […] When it’s done right, it can drive us to incredible feats in sports and innovation, […] healthy competition, because even though individual companies might come and go, in the long run, the game between them creates win-win outcomes where everyone benefits in the end. But sometimes…
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Interoception and Active Inference for mental health
Interoception refers to the process by which the nervous system senses and integrates signals originating from within the body, providing a momentary mapping of the body’s internal landscape and its relationship to the outside world. Active inference is based on the premise that afferent sensory input to the brain is constantly shaped and modified by…
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Human society is currently undergoing a socio-cultural ETI
An evolutionary transition in individuality (ETI) occurs when a previously independent organism becomes a lower level unit within a higher hierarchical level (for example, cells in an organism, ants in a colony). Based on archaeological and historical accounts from the last 12000 years, this article “Human societal development: is it an evolutionary transition in individuality?”…
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The Future of Artificial Intelligence by Melanie Mitchell
AI is all around us recognizing our faces in photos, transcribing our speech, constructing our news feeds, navigating our driving routes, answering our search queries, and much more. But rapidly improving AI is poised to play a much bigger role in all of our lives. In this lecture, AI expert Melanie Mitchell demystifies how current-day…
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EXplore-versus-EXploit problems
Trade-offs between producing costly movements for gathering information (‘explore’) and using previously acquired information to achieve a goal (‘exploit’) arise in a wide variety of problems, including foraging, reinforcement learning and sensorimotor control. Determining the optimal balance between exploration and exploitation is computationally intractable, necessitating heuristic solutions. In “Mode switching in organisms for solving explore-versus-exploit…
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Conceptual Bootstrapping (human cognition)
To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive resources. This article presents a computational model of conceptual bootstrapping. This model uses a dynamic conceptual repertoire that can cache and later reuse elements of…
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How adults understand what young children say
When babies first begin to talk, their vocabulary is very limited. Often one of the first sounds they generate is “da,” which may refer to dad, a dog, a dot, or nothing at all. How does an adult listener make sense of this limited verbal repertoire? A new study “How adults understand what young children…
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Bayesian models of perception and action (free e-book)
Bayesian models of perception and action An introduction By Wei Ji Ma, Konrad Kording, and Daniel Goldreich An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic — or Bayesian — inference, a method used to draw conclusions from…
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The computational power of the human brain
Peter J. Gebicke-Haerter published a great review article with this title. I selected some snippets and the key conclusion: At the end of the 20th century, analog systems in computer science have been widely replaced by digital systems due to their higher computing power. Nevertheless, the question keeps being intriguing until now: is the brain…
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Harris Hawks Optimization
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. A review research focuses on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer…
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Wicked7 – looking for “Regenerative” solution
12 jul 2022, TedX@Athens. Christian Sarkar makes bold statements: Globalization has failed. Income inequality has exploded. COVID hasn’t disappeared yet. And War is at the gate. What can be done in your neighborhood, in your city? We learn the lessons of regeneration from Palermo, Sicily – and the (website and) book by Christian Sarkar, Philip…
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What If – Causal Inference (free)
Miguel Hernán made a revision of book “Causal Inference: What If” is available for download. The book provides a cohesive presentation of concepts of, and methods for, causal inference. Much of this material is currently scattered across journals in several disciplines or confined to technical articles. The authors expect that the book will be of…
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A top-down, bottom-up model of circuit function for anxiety and depression.
A great review article describes the bottom-up and top-down processing from Marr’s computational-algorithmic-implementation perspective to understand depressive and anxious disease states. The review illustrate examples of bottom-up processing as basolateral amygdala signaling and projections and top-down processing as medial prefrontal cortex internal signaling and projections. Understanding these internal processing dynamics can help us better model…
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“Fitness” Beats “Truth”
The “Fitness-Beats-Truth Theorem” provides a quantitative measure of the extent to which the fitness-only strategy dominates the truth strategy, and of how this dominance increases with the size of the perceptual space. The FBT Theorem supports the Interface Theory of Perception. The Interface Theory of Perception is discussed and described in detail in 2015 by…
