Adaptive Control of Thought
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
A model by Don Norman outlining the cognitive steps users take when interacting with a system: goal formation, planning, specifying, performing, perceiving, interpreting, and comparing.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence.
A cognitive bias where consumers change their preference between two options when presented with a third, less attractive option.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers.
A set of cognitive processes that include working memory, flexible thinking, and self-control, crucial for planning, decision-making, and behavior regulation.
A framework for designing habit-forming products that includes four phases: Trigger, Action, Variable Reward, and Investment.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.