Functional Equivalence with NARS

作     者：Johansson, Robert Hammer, Patrick Lofthouse, Tony 

作者机构：Department of Psychology Stockholm University Sweden Department of Computer and Information Science Linköping University Linköping Sweden Division of Robotics Perception and Learning KTH Royal Institute of Technology Stockholm Sweden 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Decision making 

摘      要：This study explores the concept of functional equivalence within the framework of the Non-Axiomatic Reasoning System (NARS), specifically through OpenNARS for Applications (ONA). Functional equivalence allows organisms to categorize and respond to varied stimuli based on their utility rather than perceptual similarity, thus enhancing cognitive efficiency and adaptability. In this study, ONA was modified to allow the derivation of functional equivalence. This paper provides practical examples of the capability of ONA to apply learned knowledge across different functional situations, demonstrating its utility in complex problem-solving and decision-making. An extended example is included, where training of ONA aimed to learn basic human-like language abilities, using a systematic procedure in relating spoken words, objects and written words. The research carried out as part of this study extends the understanding of functional equivalence in AGI systems, and argues for its necessity for level of flexibility in learning and adapting necessary for human-level AGI. © 2024, CC BY-NC-ND.