What is "agent foundations"?
Some things in the world behave like “agents”: their actions can be understood as directed toward achieving particular goals.
Agent foundations is a research program which tries to understand the nature of agents and their properties, often in a mathematically precise way. It asks questions such as “What are the necessary components of an agent?”, “Can we predict which systems will be agents, and how they will behave?”, and “Which agent designs are tolerant of human error?” There are many open problems in agent foundations research.
Some frameworks which various research groups are developing in order to study agent foundations are embedded agency, Infra-Bayesianism, and shard theory, among others.
Researchers disagree about which features
A feature of a region of input space that corresponds to a useful pattern. For example, in an image detector, a set of neurons that detects cars might be a feature.