Characteristics and Heuristics of Human Intelligence

David Powers

    Research output: Contribution to conferencePaperpeer-review

    5 Citations (Scopus)


    In the centenary year of Turing's birth it is appropriate to explore the relationship between Computational and Human Intelligence along the path that he proposed over 60 years ago. In many way, he saw clearly what the issues were, although there were some that he missed or underestimated. We approach the problem of Human-level Computational Intelligence from two perspectives: the aspects of human cognition that we want to achieve, and those that we need to achieve for the system to work and achieve our primary goals. The first set of characteristics are useful in their own right, whilst the second vista has an even more fundamental utility as heuristics that allow us to wend a path through a mire of computability and complexity issues. This paper explores a 35 year program of research into theoretical understanding and computational modelling, with implementation of human-like language and learning capabilities based on psycholinguistic principles from the study of human language learning.

    Original languageEnglish
    Number of pages8
    Publication statusPublished - 5 Nov 2013
    EventIEEE Symposium Series on Computational Intelligence -
    Duration: 16 Apr 2013 → …


    ConferenceIEEE Symposium Series on Computational Intelligence
    Period16/04/13 → …


    • evaluation
    • grounding
    • human-level computational intelligence
    • Loebner Prize
    • natural language learning
    • supervised learning
    • Turing Test
    • unsupervised learning


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