The practice of using our understanding of the human mind—perception, memory, reasoning, language, and learning—to inspire and improve artificial intelligence. It's the belief that the best way to build a smart machine is to reverse-engineer the only working example we have: the human brain. From neural networks (loosely inspired by neurons) to reinforcement learning (inspired by animal conditioning), this field has been central to AI's development, for better and for worse.
Cognitive Sciences Applied to AI Example: "The chatbot was terrible at conversation until they applied cognitive sciences to AI and taught it to manage turn-taking and context like a real human would."
by Dumu The Void March 11, 2026
Get the Cognitive Sciences Applied to AI mug.The interdisciplinary study of how human cognitive processes—perception, memory, reasoning, problem-solving—enable and constrain scientific thinking. It asks: What cognitive mechanisms allow humans to do science at all? What biases and limitations shape scientific discovery? How do scientists actually think, as opposed to how they say they think? Drawing on psychology, neuroscience, and artificial intelligence, this field investigates the mental machinery behind hypothesis generation, theory choice, experimental design, and scientific creativity. It's science studying itself through the lens of the human brain that does it.
Example: "The cognitive sciences of science explain why even brilliant scientists suffer from confirmation bias—it's not a moral failing, it's just how human pattern-recognition works."
by Abzugal March 11, 2026
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The application of cognitive science to understand how human minds actually perform the operations that the scientific method prescribes. How do we form hypotheses? What cognitive processes underlie controlled observation? How does the brain manage the demands of experimental reasoning? This field reveals that the scientific method isn't just a set of rules written in books—it's a set of cognitive practices that humans must learn, that recruit specific brain systems, and that can fail in characteristic ways when those systems misfire. It's the study of the scientist's brain at work.
Example: "The cognitive sciences of the scientific method show why double-blind designs are necessary—our brains automatically seek confirmation, and no amount of training completely eliminates that cognitive reflex."
by Abzugal March 11, 2026
Get the Cognitive Sciences of the Scientific Method mug.The investigation of how human cognitive systems actually produce, evaluate, and store knowledge—the psychological and neurological reality behind philosophical theories of knowing. It asks: What does the brain do when it "knows" something? How do feelings of certainty arise? How do we distinguish memory from imagination? How do children develop the capacity for epistemic evaluation? This field bridges philosophy and neuroscience, revealing that epistemology isn't just abstract theory but has a basis in the physical structure and function of the human brain.
Example: "The cognitive sciences of epistemology explain why gut feelings often feel like knowledge—the brain's pattern-recognition systems generate intuitive certainty long before conscious reasoning can confirm or deny it."
by Abzugal March 11, 2026
Get the Cognitive Sciences of Epistemology mug.The study of how human minds actually perform logical reasoning—the cognitive processes underlying deduction, induction, abduction, and all the other forms of inference that logic describes. It reveals a striking gap between logical theory and cognitive reality: humans are systematically bad at some logical tasks (like the Wason selection task) and surprisingly good at others (like social reasoning that has the same logical structure). The cognitive sciences of logic ask: What kind of logic does the brain actually run? How did logical reasoning evolve? Why do we find some logical moves natural and others impossible?
Example: "The cognitive sciences of logic explain why people struggle with abstract syllogisms but breeze through the same logical structure when it's embedded in a social rule—our brains evolved for cheating detection, not formal logic."
by Abzugal March 11, 2026
Get the Cognitive Sciences of Logic mug.A form of moralism where cognitive science concepts—cognitive biases, heuristics, thinking styles—are used as tools for moral judgment and intellectual superiority. The cognitive moralist treats having the "wrong" cognitive patterns as evidence of moral failing, using the language of cognitive science to pathologize disagreement. Opponents aren't just mistaken—they're victims of confirmation bias, prey to motivated reasoning, trapped in cognitive distortions. The moralist positions themselves as the clear thinker, the unbiased reasoner, the one free from cognitive flaws—conveniently blind to their own biases. Cognitive science, which should increase understanding of how all humans think, becomes a weapon for feeling superior while understanding less.
Example: "He couldn't just disagree—he had to diagnose her 'confirmation bias' and 'motivated reasoning,' as if he himself was somehow immune. Cognitive Moralism: using the science of thinking to avoid thinking."
by Abzugal Nammugal Enkigal March 14, 2026
Get the Cognitive Moralism mug.A purity culture within communities that elevate cognitive science as the master framework for understanding mind and behavior, where proper cognitive thinking becomes a test of virtue and belonging. Cognitive puritanism demands that true members explain all mental phenomena in terms of cognitive processes, treat appeals to emotion, culture, or experience as insufficiently rigorous, and maintain the purity of cognitive explanations against contamination by alternative frameworks. Members compete to demonstrate their cognitive sophistication, their freedom from bias, their commitment to the cognitive model against all challenges. The result is a community that claims to understand thinking while being blind to everything about thought that isn't computation.
Example: "The group dismissed her embodied, situated account of knowledge as 'unscientific'—Cognitive Puritanism, where only information-processing models count as real explanations of mind."
by Abzugal Nammugal Enkigal March 14, 2026
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