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Plan with “value-guided construal”
When people plan, they do so by constructing a simplified mental representation of a problem that is sufficient to solve it—a process that we refer to as value-guided construal. An ideal, cognitively limited decision-maker should construe a task so as to balance complexity and utility. Preregistered predictions of this model explain people’s awareness, ability to…
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The Why, How, and When of Representations for Complex Systems
Complex systems, composed at the most basic level of units and their interactions, describe phenomena in a wide variety of domains, from neuroscience to computer science and economics. The wide variety of applications has resulted in two key challenges: the generation of many domain-specific strategies for complex systems analyses that are seldom revisited, and the…
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Will it ever happen?
Evolution of Brains and Computers: The Roads Not Taken – Can machines ever achieve true intelligence? , is a perspective article in entropy by Ricard Solé and Luís F. Seoane, has a great discussion on intelligence. When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and…
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Metacognition accompanying decision-making
Decision-making is usually accompanied by metacognition, through which a decision maker monitors uncertainty regarding a decision and may then consequently revise the decision. These metacognitive processes can occur prior to or in the absence of feedback. The neural mechanisms of metacognition remain controversial. A novel “decision–redecision” paradigm to investigate the neural metacognitive processes involved in…
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Enriched Environment helps decision
Inter-Individual Differences in Cognitive Tasks: Focusing on the Shaping of Decision-Making Strategies is a recent publication about the Mouse Gambling Task. It revealed about 30% of healthy mice displaying risk-averse choices while about 20-25% of mice make risk-prone choices. These strategies are accompanied by different brain network mobilization and individual levels of regional -prefrontal and…
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Active Inference – The book
Available, – Open Access – free to download – great reading … Active Inference: The Free Energy Principle in Mind, Brain, and Behavior By Thomas Parr, Giovanni Pezzulo, Karl J. Friston The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding…
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Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
This post is a pointer to a great article from Michael Levin, just published in Frontiers in Systems Neurosciences All known cognitive agents are collective intelligences, because we are all made of parts; biological agents in particular are not just structurally modular, but made of parts that are themselves agents in important ways. There is…
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French Horn taught me everything I needed to Know – Arthur Brooks
‘From Strength to Strength:’ Follow this link, fill out the CAPTCHA and … Arthur Brooks discusses his new book. He discusses about a nice set of ideas on building a happy and interesting life. His book, From Strength to Strength: Finding Success, Happiness, and Deep Purpose in the Second Half of Life is a practical…
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Machine Learning Article deserves to have the best ‘Plain Language Summary’
I share the opinion that “all plain language summaries should aspire to the glorious heights of this piece of literary art.”I also like the conclusion presented 🙂
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Why Can the Brain (And Not a Computer) Make Sense of the Liar Paradox?
Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? This paper addresses this question by defining the Strange Loop Model, which features causal feedback between two brain modules,…
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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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‘It from bit’
‘It from bit’ symbolizes the idea that every item of the physical world has at bottom—at a very deep bottom, in most instances—an immaterial source and explanation; that what we call reality arises in the last analysis from the posing of yes-no questions and the registering of equipment-evoked responses; in short, that all things physical…
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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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