Multiple Knowledge Types
in RALPH-MEA
Multiple Knowledge Types
in RALPH-MEA
RALPH utilizes different knowledge types in each
execution architecture in order to produce decisions that can differ
in the tradeoff between quality and speed. Knowledge types are labelled
by letters and the current time is labelled as "t":
- A: Information about the current state at the current time t,
including sensor-based information
- B: Knowledge about the effects of actions
- C: The utility of a projected state (time t+1) based on
knowledge of actions and the environment
- D: Best action choice directly from current state. This knowledge is
similar to condition-action rules used in production systems. It requires
very little reasoning, and is thus utilized when
reactivity is necessary.
- E: The utility of the state at time t+1 acquired without explicitly
reasoning about the composition of the future state.
- F: Best action choice directly from projected state.
This diagram displays the relationships between
the different knowledge types. The four execution architectures follow
different paths from the current state to the best action.
Return to the top of this architecture.
Current Location: RALPH-MEA - Multiple Knowledge Types