taskadaptivity
Task adaptivity, sometimes written as taskadaptivity, refers to the ability of a system to adjust its behavior in response to the specific requirements and constraints of a given task and its context. It encompasses changes to goals, strategies, resource use, or interaction methods to improve task performance.
Effective task adaptivity relies on sensing context, modeling task demands, and deciding when and how to adapt.
Applications include intelligent agents and robots that adapt plans to changing goals, interactive systems that adjust
Techniques used to enable task adaptivity include rule-based or policy-driven mechanisms, reinforcement learning and meta-learning to
Key challenges involve accurately sensing task demands, predicting the effects of adaptation, balancing performance with safety
Related areas include self-adaptive or autonomic computing, adaptive user interfaces, and adaptive workflow management. Ongoing work