Tag: artificial-intelligence

• The power of mathematical models for better policy decisions

  “Harnessing the power of mathematical models for better policy decisions” sets out four practical recommendations to help policymakers across a wide range of policy areas effectively capitalise on, and sidestep pitfalls of, using mathematical models for decision-making. Decision-makers are often keen to “follow the science” in highly-charged contexts such as climate policy, pandemic response, economic…

  walterstiers

  2025-04-15

  #Sensemaking, Complexity, Decision Intelligence, Information Technology, Innovation Games, Practical Wisdom, Science

  #DecisionIntelligence, #ProblemSolvingMind, #TheInformationLens, AI, artificial-intelligence, education, philosophy, technology

• Nested hierarchies in skills – importance of basic education

  In many careers, a person must learn foundational skills before advancing deeper into their profession. Computer programmers need a solid foundation in basic mathematics; nurses must gain clinical experience and specialized training to become nurse practitioners; a negotiator’s ability to persuade depends on solid communication and active-listening skills. A recent paper published in Nature Human Behaviour mapped the dependency…

  walterstiers

  2025-04-15

  #sense-making, Biology of Information, Complexity, Decision Intelligence, Life Ideas, Neurobiology/psychology, Practical Wisdom, Social-Technical

  #DecisionIntelligence, #emergence, #ProblemSolvingMind, #TheInformationLens, AI, artificial-intelligence, education, skills, technology

• Humans rationally balance abstract world models

  This work adds to a growing body of research showing that the brain arbitrates between approximate decision strategies. The current study extends these ideas from simple habits into usage of more sophisticated approximate predictive models, and demonstrates that individuals dynamically adapt these in response to the predictability of their environment. How do people model the…

  walterstiers

  2025-02-10

  Biology of Information, Complexity, Decision Intelligence, Life Ideas, Science

  #DecisionIntelligence, #ProblemSolvingMind, #TheInformationLens, AI, artificial-intelligence, data-science, machine-learning, technology

• Defining intelligence: Bridging the gap

  “Defining intelligence: Bridging the gap between human and artificial perspectives“ Achieving a widely accepted definition of human intelligence has been challenging, a situation mirrored by the diverse definitions of artificial intelligence in computer science. By critically examining published definitions, highlighting both consistencies and inconsistencies, this paper proposes a refined nomenclature that harmonizes conceptualizations across the two disciplines.…

  walterstiers

  2025-02-09

  AI, Biology of Information, Information Technology, Neurobiology/psychology, Science

  #DecisionIntelligence, #HumanAI, #ProblemSolvingMind, #TheInformationLens, agi, AI, artificial-intelligence, machine-learning, technology

• Contextualizing predictive minds

  “Contextualizing predictive minds” discusses how the structure of human memory seems to be optimized for efficient prediction, planning, and behavior. We propose that these capacities rely on a tripartite structure of memory that includes concepts, events, and contexts—three layers that constitute the mental world model. We suggest that the mechanism that critically increases adaptivity and…

  walterstiers

  2024-12-17

  #sense-making, Active Inference, AI, Biology of Information, Complexity, Creative Thinking, Decision Intelligence, Neurobiology/psychology, Policy, Social-Technical

  #ActiveInference, #DecisionIntelligence, #ProblemSolvingMind, #TheInformationLens, AI, artificial-intelligence, machine-learning, psychology

• Bayesian Models of Cognition 

  “Bayesian Models of Cognition Reverse Engineering the Mind” is a new MIT-press Open Access book available for online reading. The definitive introduction to Bayesian cognitive science, written by pioneers of the field. How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide…

  walterstiers

  2024-11-19

  #sense-making, Active Inference, AI, Biology of Information, Complexity, Decision Intelligence, Neurobiology/psychology, Science

  #ActiveInference, #DecisionIntelligence, #HumanAI, #TheInformationLens, AI, artificial-intelligence, data-science, machine-learning, statistics

• From Sensing to Sentience: How Feeling Emerges from the Brain

  Open access book, download available @ MIT Press A new theory of Neurobiological Emergentism that explains how sentience emerges from the brain. Sentience is the feeling aspect of consciousness. In From Sensing to Sentience, Todd Feinberg develops a new theory called Neurobiological Emergentism (NBE) that integrates biological, neurobiological, evolutionary, and philosophical perspectives to explain how sentience naturally emerges from the brain. Emergent…

  walterstiers

  2024-11-04

  #Sensemaking, Biology of Information, Complexity, Life Ideas, Neurobiology/psychology, Science, Social-Technical

  #DecisionIntelligence, #emergence, #TheInformationLens, AI, artificial-intelligence, consciousness, sentience

• AI tool helps people with opposing views find common ground

  A large language model can help groups to reach a consensus by producing statements that are clearer and fairer than those written by humans. A chatbot-like tool powered by artificial intelligence (AI) can help people with differing views to find areas of agreement, an experiment with online discussion groups has shown. The model, developed by…

  walterstiers

  2024-10-21

  #sense-making, #Wicked, AI, Complexity, Decision Intelligence, Information Technology, Policy, Science, Social-Technical

  #DecisionIntelligence, #TheInformationLens, artificial-intelligence, democracy, news, politics, technology

• Learning by thinking

  Learning by thinking in natural and artificial minds:Canonical cases of learning involve novel observations external to the mind, but learning can also occur through mental processes such as explaining to oneself, mental simulation, analogical comparison, and reasoning. Recent advances in artificial intelligence (AI) reveal that such learning is not restricted to human minds: artificial minds…

  walterstiers

  2024-09-27

  Life Ideas, Science, Social-Technical

  #DecisionIntelligence, #ProblemSolvingMind, #TheInformationLens, AI, artificial-intelligence, education, learning, teaching

• regulation of motivated behavior

  in “A unified theoretical framework underlying the regulation of motivated behavior“, Yu-Been Kim, Young Hee Lee, Shee-June Park and Hyung Jin Choi explain that multiple psychological components have evolved in order to orchestrate behaviors for survival. Despite several theories regarding behavior regulation, these theories do not clearly distinguish distinct components and do not explain the…

  walterstiers

  2024-09-26

  #Sensemaking, Biology of Information, Decision Intelligence, Life Ideas, Neurobiology/psychology

  #DecisionIntelligence, #TheInformationLens, AI, artificial-intelligence, health, machine-learning, technology