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  1.  15
    Towards a reintegration of artificial intelligence research.John F. Sowa - 1991 - In P. A. Flach (ed.), Future Directions in Artificial Intelligence. New York: Elsevier Science.
  2.  68
    Peirce's tutorial on existential graphs.John F. Sowa - 2011 - Semiotica 2011 (186):347-394.
    In his formal papers on existential graphs , Peirce tended to obscure the simplicity of EGs with distracting digressions. In MS 514, however, he presented his simplest introduction to the EG syntax, semantics, and rules of inference. This article reproduces Peirce's original words and diagrams with further commentary, explanations, and examples. Unlike the syntax-based approach of most current textbooks, Peirce's method addresses the semantic issues of logic in a way that can be transferred to any notation. The concluding section shows (...)
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  3.  9
    Signs and reality.John F. Sowa - 2015 - Applied ontology 10 (3-4):273-284.
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  4.  31
    The role of logic and ontology in language and reasoning.John F. Sowa - 2010 - In Roberto Poli & Johanna Seibt (eds.), Theory and Applications of Ontology: Philosophical Perspectives. Springer Verlag. pp. 231--263.
  5.  1
    Building large knowledge-based systems: Representation and inference in the cyc project.John F. Sowa - 1993 - Artificial Intelligence 61 (1):95-104.
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  6.  5
    Logical foundations of artificial intelligence.John F. Sowa - 1989 - Artificial Intelligence 38 (1):125-131.
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  7.  2
    On conceptual structures.John F. Sowa - 1988 - Artificial Intelligence 34 (3):388-394.
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  8.  28
    The challenge of knowledge soup.John F. Sowa - 2006 - In Jayashree Ramadas & Sugra Chunawala (eds.), Research Trends in Science, Technology and Mathematics Education. Homi Bhabha Centre for Science Education, Tifr. pp. 55--90.
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  9.  91
    Worlds, Models and Descriptions.John F. Sowa - 2006 - Studia Logica 84 (2):323-360.
    Since the pioneering work by Kripke and Montague, the term possible world has appeared in most theories of formal semantics for modal logics, natural languages, and knowledge-based systems. Yet that term obscures many questions about the relationships between the real world, various models of the world, and descriptions of those models in either formal languages or natural languages. Each step in that progression is an abstraction from the overwhelming complexity of the world. At the end, nothing is left but a (...)
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