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Discussion published In: Language and Dialogue
Vol. 9:2 (2019) ► pp.294–315

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Discussion Article

Dialogue and Artificial Intelligence

 | University of Münster (Germany)
Published online: 12 July 2019
DOI logo with link
https://doi.org/10.1075/ld.00042.wei
Abstract
The article focuses on a few central issues of dialogic competence-in-performance which are still beyond the reach of models of Artificial Intelligence (AI). Learning machines have made an amazing step forward but still face barriers which cannot be crossed yet. Linguistics is still described at the level of Chomsky’s view of language competence. Modelling competence-in-performance requires a holistic model, such as the Mixed Game Model (. 2010. Dialogue: The Mixed Game. Amsterdam/ Philadelphia: John Benjamins. Google Scholar logo with link to Google Scholar), which is capable of addressing the challenge of the ‘architecture of complexity’ (Simon, Herbert A. 1962. “The Architecture of Complexity: Hierarchic Systems.” Proceedings of the American Philosophical Society 1061: 467–482.Google Scholar logo with link to Google Scholar). The complex cannot be ‘the ontology of the world’ (Russel, Stuart J. and Peter Norvig. 2016. Artificial Intelligence. A Modern Approach, 3rd ed. Harlow: Pearson Education Limited.Google Scholar logo with link to Google Scholar). There is no autonomous ontology, no hierarchy of concepts; it is always human beings who perceive the world. ‘Anything’, in the end, depends on the human brain.
Article outline
  • 1.The issue
  • 2.AI and the architecture of complexity
  • 3.The basic structure of action
    • 3.1The Action Principle
    • 3.2The Dialogic Principle proper
  • 4.AI and the issue of ‘machine conversations’
  • 5.Learning machines
  • 6.The lexicon
  • 7.The issue of coherence
  • 8.Outlook: AI and rationality of performance
  • References
References (40)
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