Guiding probabilistic logical inference with nonlinear dynamical attention allocation

Cosmo Harrigan, Ben Goertzel, Matthew Iklé, Amen Belayneh, Gino Tu Yu

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

4 Citations (Scopus)

Abstract

In order to explore the practical manifestations of the "cognitive synergy" between the PLN (Probabilistic Logic Networks) and ECAN (Economic Attention Network) components of the OpenCog AGI architecture, we explore the behavior of PLN and ECAN operating together on two standard test problems commonly used with Markov Logic Networks (MLN). Our preliminary results suggest that, while PLN can address these problems adequately, ECAN offers little added value for the problems in their standard form. However, we outline modified versions of the problem that we hypothesize would demonstrate the value of ECAN more effectively, via inclusion of confounding information that needs to be heuristically sifted through.
Original languageEnglish
Title of host publicationArtificial General Intelligence - 7th International Conference, AGI 2014, Proceedings
PublisherSpringer Verlag
Pages238-241
Number of pages4
ISBN (Print)9783319092737
DOIs
Publication statusPublished - 1 Jan 2014
Event7th International Conference on Artificial General Intelligence, AGI 2014 - Quebec City, QC, Canada
Duration: 1 Aug 20144 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8598 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Artificial General Intelligence, AGI 2014
Country/TerritoryCanada
CityQuebec City, QC
Period1/08/144/08/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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