Application of Artificial Intelligence Technology within the Standard Base SupplySystem

摘要

This thesis investigated the feasibility of applying artificial intelligencetechnology within the Standard Base Supply System (SBSS). With assembly endless reductions in manpower authorizations within the SBSS and the potential for a continued loss of expert knowledge, the use of knowledge-based system (KBSs) was examined to determine if these systems could alleviate this of manpower. Literature related to the fields of artificial intelligence, expert systems, and KBSs was traced, yielding a methodology for identifying candidate problems, and for the development, verification, and validation of prototype KBSs. This methodology was then employed within the research, culminating in the creation, verification, and validation of a prototype KBS. The research resulted in several conclusions: (1) Supply-related tasks do lend themselves to KBS development; (2) A small-scale Supply KBS is feasible with limited resources; and (3) A small-scale Supply KBS can be validated.