This paper describes how the "SP theory of intelligence", outlined in an Appendix, may throw light on aspects of commonsense reasoning (CSR) and commonsense knowledge (CSK) (together shortened to CSRK), as discussed in another paper by Ernest Davis and Gary Marcus (DM). The SP system has the generality needed for CSRK: Turing equivalence; the generality of information compression as the foundation for the SP system both in the representation of knowledge and in concepts of prediction and probability; the versatility of the SP system in the representation of knowledge and in aspects of intelligence including forms of reasoning; and the potential of the system for the seamless integration of diverse forms of knowledge and diverse aspects of intelligence. Several examples discussed by DM, and how they may be processed in the SP system, are discussed. Also discussed are current successes in CSR (taxonomic reasoning, temporal reasoning, action and change, and qualitative reasoning), how the SP system may promote seamless integration across these areas, and how insights gained from the SP programme of research may yield some potentially useful new ways of approaching these topics. The paper considers how the SP system may help overcome several challenges in the automation of CSR described by DM, and how it meets several of the objectives for research in CSRK that they have described.
翻译:本文说明附录中概述的“SP情报理论”如何能如Ernest Davis和Gary Marcus(DM)的另一论文所述,阐明常识推理(CSR)和常识知识(CSK)(被简称为CSRK)的各个方面(被简称为CSRK)。SP系统具有CSRK所需的一般性:图示等同;信息压缩作为SP系统基础的一般性,既体现在知识的表述方面,也体现在预测和概率的概念方面;SP系统在知识的表述和情报方面的多功能,包括各种推理形式;系统在无缝整合不同形式的知识和不同情报方面的潜力。DM讨论的一些例子,以及可以在SP系统中处理这些例子的方式。还讨论了CSR目前的成功(税理学、时间推理、行动和变化,以及定性推理),SP系统如何促进这些领域的无缝融合,以及SP研究方案的深入了解如何产生一些可能有用的新方法来处理这些问题。该文件探讨了SP系统如何帮助克服CS系统在CSR的研究自动化中描述的几项挑战。