DECIDER-1: a system that chooses among different types of acts
Leonard Uhr · International Joint Conference on Artificial Intelligence · 1973
This paper examines a programmed model (called DECIDER-1) that 1) recognizes scenes of things, among which are a) objects and b) words that form commands (or questions or other types of statements), 2) recognizes the import of these commands, 3) decides whether to obey one, and then 4) uses the command to guide the consequent actions, along with any necessary perceptual search. It uses the same mechanisms to handle a) the perceptual processes involved with recognizing objects and describing scenes, b) the linguistic processes involved with parsing sentences and understanding their meaning, and c) the retrieval processes needed to access pertinent facts in pertinent memory. This is in sharp contrast to most of today's systems, which receive the command through one channel, to be understood by one special-purpose set of routines, and perceive their environments through an entirely different channel. DECIDER-1 continues to characterize patterns, parse symbol strings, and access facts implied by input questions until an action is chosen, because it is sufficiently implied by this search through the memory net. Then it executes the implied action. Possible actions include Answering, Describing, Finding, Moving, and Naming.