ML Fundamentals
Cognitive Architectures
Blueprints for AI that try to mimic the structure of the human mind, including memory, goals, and perception.
Definition
Computational frameworks modeling human cognition to guide AI design. They integrate memory, perception, reasoning, and action modules. Examples include SOAR and ACT-R.
Why it matters
Attempts to move AI beyond simple pattern matching toward true general intelligence and reasoning.
Related terms in ML Fundamentals
Activation Functions
The "switch" inside a neural network that decides whether a neuron should fire, allowing the AI to learn complex non-linear patterns.
Active Learning
A technique where the AI asks humans to label only the most confusing examples, saving time and money on data labeling.
Anomaly Detection
Finding the "weird" stuff in a dataset, like a credit card charge in a foreign country or a broken machine part.
Artificial General Intelligence (AGI)
A hypothetical "super-AI" that can learn and do any intellectual task a human can do, not just one specific thing.
From vocabulary to outcomes
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