A Prototype Intelligent Decision-Support System with a Unified Planning and Learning Capabilities

Autor: Nady Slam, Wushour Slamu, Pei Wang
Rok vydání: 2017
Předmět:
Zdroj: International Journal on Artificial Intelligence Tools. 26:1750025
ISSN: 1793-6349
0218-2130
DOI: 10.1142/s0218213017500257
Popis: This article summarizes reviews regarding the evolution of intelligent decision-support systems (IDSS). After doing an extensive literature survey, it was apparent that the theoretical foundation of IDSS has not undergone much improvement. The emergence and development of Artificial General Intelligence (AGI) provides a new theoretical perspective for constructing and developing IDSS. An AGI project, Non-Axiomatic Reasoning System (NARS), is built into the framework of a unified reasoning system, with a logic, Non-Axiomatic Logic (NAL). In this paper, we propose a formal model with unified planning, learning and uncertainty representation capabilities using NAL. We have developed a prototype decision-support system for urban fire-fighting within this framework, and obtained results demonstrating that this method can provide an effective way for intelligent decision-support systems.
Databáze: OpenAIRE