Cognitive science 

A multidisciplinary subject composed of neuroscience, linguistics, computer science, philosophy and psychology that studies the mind.

"So what do you study?"
"Cognitive science."
"So you are going to be a psychologist?"
"No."

Cognitive science by Senethys November 28, 2014

Cognitive Sciences of Science

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."

Cognitive Sciences of Science by Abzugal March 11, 2026

Cognitive Sciences of Science

The application of cognitive science to understand the cognitive and computational dimensions of scientific activity. It studies how scientists discover patterns, generate analogies, simulate phenomena mentally, and collaborate to produce knowledge. It integrates insights from cognitive psychology, artificial intelligence, and neuroscience to model the cognitive processes underlying scientific reasoning and to design tools that augment scientific cognition.

Cognitive Sciences of Science Example: “Cognitive sciences of science research used eye‑tracking to study how physicists interpret graphs—showing that expert scientists see patterns that novices miss, and that this expertise is embodied in perceptual skills, not just explicit knowledge.”

Cognitive Sciences of Science by Abzugal Nammugal Enkigal March 24, 2026

dognitive science 

The study of how dogs think.

The latest research in dognitive science suggests that in some ways dogs are smarter than chimps.

dognitive science by Lee Charles Kelley November 23, 2009

Cognitive Sciences Applied to AI

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."

Cognitive Sciences Applied to AI by Dumu The Void March 11, 2026

Cognitive Sciences of Epistemology

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."

Cognitive Sciences of Epistemology by Abzugal March 11, 2026

Cognitive Sciences of Logic

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."

Cognitive Sciences of Logic by Abzugal March 11, 2026