Learning of agents with limited resources

Slawomir Nowaczyk

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    Abstract

    In our research we investigate rational agent which consciously balances deliberation and acting, and uses learning to augment its reasoning. It creates several partial plans, uses past experience to choose the best one and, by executing it, gains new knowledge about the world. We analyse a possible application of Inductive Logic Programming to learn how to evaluate partial plans in a resource-constrained way. We also discuss how ILP framework can generalise partial plans. Copyright
    Original languageEnglish
    Title of host publicationProceedings of the National Conference on Artificial Intelligence
    PublisherAmerican Association for Artificial Intelligence
    Pages1893-1894
    Volume2
    Publication statusPublished - 2006
    Event21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 - Boston, MA, United States
    Duration: 2006 Jul 162006 Jul 20

    Publication series

    Name
    Volume2

    Conference

    Conference21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    Country/TerritoryUnited States
    CityBoston, MA
    Period2006/07/162006/07/20

    Subject classification (UKÄ)

    • Computer Science

    Free keywords

    • Inductive Logic Programming
    • Rational agents
    • Reasoning
    • Partial plans

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