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.
An ongoing process of learning and development that enables individuals and organizations to adapt to changing environments and requirements.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
Adaptive Software Development (ASD) is a software development methodology that focuses on continuous adaptation to changing requirements and environments.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements.
Replacing one UI component with another, often used in adaptive or dynamic interfaces.