Speculative scientific inference via synergetic combination of probabilistic logic and evolutionary pattern recognition

Ben Goertzel, Nil Geisweiller, Eddie Monroe, Mike Duncan, Selamawit Yilma, Meseret Dastaw, Misgana Bayetta, Amen Belayneh, Matthew Ikle’, Gino Tu Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


The OpenCogPrime cognitive architecture is founded on a principle of “cognitive synergy” – judicious combination of different cognitive algorithms, acting on different types of memory, in a way that helps overcome the combinatorial explosions each of the algorithms would suffer if used on its own. Here one manifestation of the cognitive synergy principle is explored – the use of probabilistic logical reasoning (based on declarative knowledge) to generalize procedural knowledge gained by evolutionary program learning. The use of this synergy is illustrated via an example drawn from a practical application of the OpenCog system to the analysis of gene expression data, wherein the MOSES program learning algorithm is used to recognize data patterns and the PLN inference engine is used to generalize these patterns via cross-referencing them with a biological ontology. This is a case study of both automated scientific inference, and synergetic cognitive processing.
Original languageEnglish
Title of host publicationArtificial General Intelligence - 8th International Conference, AGI 2015, Proceedings
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319213644
Publication statusPublished - 1 Jan 2015
Event8th International Conference on Artificial General Intelligence, AGI 2015 - Berlin, Germany
Duration: 22 Jul 201525 Jul 2015

Publication series

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


Conference8th International Conference on Artificial General Intelligence, AGI 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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