Collaborative Decision Support Systems Based on Neuro-Symbolic Artificial Intelligence: Problems and Generalized Conceptual Model

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE Scientific and Technical Information Processing Pub Date : 2024-03-07 DOI:10.3103/s0147688223060151
A. V. Smirnov, A. V. Ponomarev, N. G. Shilov, T. V. Levashova
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Abstract

The development of artificial intelligence technologies and the growing complexity of decision-making when managing complex dynamic systems necessitate the joint work of humans and artificial intelligence, including as part of teams of heterogeneous participants (for example, experts and agents operating with artificial intelligence). The paper discusses the requirements for collaborative human-machine decision support systems and the problems that can arise during their creation. The methods of neuro-symbolic artificial intelligence can help resolve some of these problems. An analysis of modern results in the field of ontology-oriented neuro-symbolic artificial intelligence is carried out, primarily intended to explain neural network models using ontologies and symbolic knowledge to improve the efficiency of neural network models. A conceptual model of a collaborative human-machine decision support system based on ontology-oriented neuro-symbolic intelligence is proposed.

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基于神经符号人工智能的协作决策支持系统:问题与通用概念模型
摘要 人工智能技术的发展以及管理复杂动态系统时决策的日益复杂性,使得人类和人工智能有必要联合工作,包括作为异构参与者(例如,专家和人工智能操作代理)团队的一部分。本文讨论了人机协作决策支持系统的要求及其创建过程中可能出现的问题。神经符号人工智能方法有助于解决其中的一些问题。本文对面向本体的神经符号人工智能领域的现代成果进行了分析,主要目的是解释使用本体和符号知识的神经网络模型,以提高神经网络模型的效率。提出了基于面向本体的神经符号智能的人机协作决策支持系统的概念模型。
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来源期刊
Scientific and Technical Information Processing
Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.00
自引率
42.90%
发文量
20
期刊介绍: Scientific and Technical Information Processing  is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.
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