A Prototype Intelligent Decision-Support System with a Unified Planning and Learning Capabilities
Autor: | Nady Slam, Wushour Slamu, Pei Wang |
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Rok vydání: | 2017 |
Předmět: |
Computer science
business.industry Foundation (engineering) Intelligent decision support system Crisis response 02 engineering and technology Engineering management Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Literature survey business |
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 |
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