Artificial Intelligent Inferences Utilizing Occam Abduction

  • James A. Crowder
  • John Carbone
  • Shelli Friess


Abduction is formally defined as finding the best explanation for a set of observations or inferring cause from effect. Here, we discuss the notion of Occam Abduction, which relates to finding the simplest explanation with respect to inferring cause from effect. Occam abduction is useful in artificial intelligence in application of autonomous reasoning, knowledge assimilation, belief revision, and works well within a multi-agent AI framework. Here we present a flexible, hypothesis-driven methodology for Occam Abduction within a cognitive, artificially intelligent, system architecture.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • James A. Crowder
    • 1
  • John Carbone
    • 2
  • Shelli Friess
    • 3
  1. 1.Colorado Engineering Inc.Colorado SpringsUSA
  2. 2.ForcepointAustinUSA
  3. 3.Walden UniversityMinneapolisUSA

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