Core and Periphery as Closed-System Precepts for Engineering General Intelligence

Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter Beling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Engineering methods are centered around traditional notions of decomposition and recomposition that rely on partitioning the inputs and outputs of components to allow for component-level properties to hold after their composition. In artificial intelligence (AI), however, systems are often expected to influence their environments, and, by way of their environments, to influence themselves. Thus, it is unclear if an AI system’s inputs will be independent of its outputs, and, therefore, if AI systems can be treated as traditional components. This paper posits that engineering general intelligence requires new general systems precepts, termed the core and periphery, and explores their theoretical uses. The new precepts are elaborated using abstract systems theory and the Law of Requisite Variety. By using the presented material, engineers can better understand the general character of regulating the outcomes of AI to achieve stakeholder needs and how the general systems nature of embodiment challenges traditional engineering practice.

Original languageEnglish (US)
Title of host publicationArtificial General Intelligence - 15th International Conference, AGI 2022, Proceedings
EditorsBen Goertzel, Matt Iklé, Alexey Potapov, Denis Ponomaryov
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-219
Number of pages11
ISBN (Print)9783031199066
DOIs
StatePublished - 2023
Event15th International Conference on Artificial General Intelligence, AGI 2022 - Seattle, United States
Duration: Aug 19 2022Aug 22 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13539 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Artificial General Intelligence, AGI 2022
Country/TerritoryUnited States
CitySeattle
Period8/19/228/22/22

Keywords

  • Artificial intelligence
  • Requisite variety
  • Systems engineering
  • Systems theory

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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