A Multi-Agent Scheme for Real-Time Fact Mapping of Reasoning Engine
You Miao Qu, Wei Hua Li, Hua Sheng Chen · Applied Mechanics and Materials · 2014
Physical world facts must be measured and translated into first-order-logic expression before participate the reasoning process in reasoning engine. However, mapping facts into first-order-logic form in real-time is not an easy task. This paper discusses the difficulties of such mapping in three aspects. Then, this paper proposes a multi-agent based scheme to solve these three problems. First, this paper introduces multi-agent frame to reduce system design complexity. Then, this paper proposes a table mapping algorithm to translate numeric facts into first-order-logic form. After that, a resampling mechanism considering overall system delay is introduced to selectively remove excessive facts. Finally, this paper gives a case study, which verifies that the scheme proposed in this paper is practical, efficient and easy to put into application.