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  1. Why the mind may not be modular.Arnold J. Chien - 1996 - Minds and Machines 6 (1):1-32.
    Fodor argued that in contrast to input systems which are informationally encapsulated, general intelligence is unencapsulated and hence non-modular; for this reason, he suggested, prospects for understanding it are not bright. It is argued that an additional property, primitive functionality, is required for non-modularity. A functionally primitive computational model for quantifier scoping, limited to some scoping influences, is then motivated, and an implementation described. It is argued that only such a model can be faithful to intuitive scope preferences. But it (...)
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  • Temporal adverbials, tenses and the perfect.Frank Vlach - 1993 - Linguistics and Philosophy 16 (3):231 - 283.
  • Plausible reasoning and the resolution of quantifier scope ambiguities.Walid S. Saba & Jean-Pierre Corriveau - 2001 - Studia Logica 67 (2):271-289.
    Despite overwhelming evidence suggesting that quantifier scope is a phenomenon that must be treated at the pragmatic level, most computational treatments of scope ambiguities have thus far been a collection of syntactically motivated preference rules. This might be in part due to the prevailing wisdom that a commonsense inferencing strategy would require the storage of and reasoning with a vast amount of background knowledge. In this paper we hope to demonstrate that the challenge in developing a commonsense inferencing strategy is (...)
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  • Introduction.Fernando C. N. Pereira & Barbara J. Grosz - 1993 - Artificial Intelligence 63 (1-2):1-15.
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  • Logic and artificial intelligence.Nils J. Nilsson - 1991 - Artificial Intelligence 47 (1-3):31-56.
  • Understanding metonymies in discourse.Katja Markert & Udo Hahn - 2002 - Artificial Intelligence 135 (1-2):145-198.
  • Plans and Semantics in Human Processing of Language.Henry Hamburger & Stephen Crain - 1987 - Cognitive Science 11 (1):101-136.
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  • Automatic interpretation of loosely encoded input.James Fan, Ken Barker & Bruce Porter - 2009 - Artificial Intelligence 173 (2):197-220.
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