A generic model of the world and intelligence

Research output: Contribution to journalConference articlepeer-review


The resurgence of interest in Artificial Intelligence and advances in several fronts of AI, machine learning with neural network in particular, have made us think again about the nature of intelligence, and the existence of a generic model that may be able to capture what human beings have in their mind about the world to empower them to present all kinds of intelligent behaviors. In this paper, we present Constrained Object Hierarchies (COHs) as such a generic model of the world and intelligence. COHs extend the well-known object-oriented paradigm by adding identity constraints, trigger constraints, goal constraints, and some primary methods that can be used by capable beings to accomplish various intelligence, such as deduction, induction, analogy, recognition, construction, learning and many others. In the paper we will first argue the need for such a generic model of the world and intelligence, and then present the generic model in detail, including its important constructs, the primary methods capable beings can use, as well as how different intelligent behaviors can be implemented and achieved with this generic model.

Original languageEnglish
Pages (from-to)231-240
Number of pages10
JournalEPiC Series in Computing
Publication statusPublished - 2019
Event32nd International Conference on Computer Applications in Industry and Engineering, CAINE 2019 - San Diego, United States
Duration: 30 Sep. 20192 Oct. 2019


  • Agent-based systems
  • Intelligent system development
  • Intelligent systems
  • Knowledge management and ontologies
  • Knowledge-based systems
  • Machine learning
  • Modelling of the world and intelligence


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