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

Dialogue and Artificial Intelligence

| University of Münster (Germany)

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 (Weigand 2010), which is capable of addressing the challenge of the ‘architecture of complexity’ (Simon 1962). The complex cannot be ‘the ontology of the world’ (Russell and Norwig 2016). 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.

Keywords: dialogue, Artificial Intelligence (AI), learning machines, competence-in-performance, the Mixed Game Model, the architecture of complexity
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
Published online: 12 July 2019
DOI logo
https://doi.org/10.1075/ld.00042.wei
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