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Extracting Logical Knowledge from Raw Data

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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

Part of the book series: Atlantis Thinking Machines ((ATLANTISTM,volume 1))

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Abstract

 Logical methods are extremely powerful when supplied with appropriate data, but this begs the question of where the data comes from. How does data from the real world get into logical format in the first place?

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Author information

Authors and Affiliations

  1. Novamente LLC, Bernerd Place 1405, Rockville, MD, 20851, USA

    Ben Goertzel

  2. Rockville, MD, USA

    Nil Geisweiller

  3. Rua Guajajaras 1268, Belo Horizonte, 30180-101, Brazil

    Lucio Coelho

  4. Faculty of Mathematics,  , Studentski trg 16, 11000, Belgrade, Serbia

    Predrag Janicic

  5. Novamente LLC/Biomind, LLC Bernerd Place 1405, Rockville, MD, 20851, USA

    Cassio Pennachin

Authors
  1. Ben Goertzel
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  2. Nil Geisweiller
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  3. Lucio Coelho
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  4. Predrag Janicic
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  5. Cassio Pennachin
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Corresponding author

Correspondence to Ben Goertzel .

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© 2011 Atlantis Press

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Goertzel, B., Geisweiller, N., Coelho, L., Janicic, P., Pennachin, C. (2011). Extracting Logical Knowledge from Raw Data. In: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference. Atlantis Thinking Machines, vol 1. Atlantis Press. https://doi.org/10.2991/978-94-91216-11-4_9

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  • DOI: https://doi.org/10.2991/978-94-91216-11-4_9

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  • Publisher Name: Atlantis Press

  • Print ISBN: 978-94-91216-10-7

  • Online ISBN: 978-94-91216-11-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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