Abstract
In this position paper we argue that the best way to overcome the notorious knowledge bottleneck in AI is using lifelong learning by social intelligent agents. Keys to this capability are deep language understanding, dialog interaction, sufficiently broad-coverage and fine-grain knowledge bases to bootstrap the learning process, and the agent’s operation within a comprehensive cognitive architecture.
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Nirenburg, S., McShane, M., English, J. (2021). Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents. In: Métais, E., Meziane, F., Horacek, H., Kapetanios, E. (eds) Natural Language Processing and Information Systems. NLDB 2021. Lecture Notes in Computer Science(), vol 12801. Springer, Cham. https://doi.org/10.1007/978-3-030-80599-9_3
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DOI: https://doi.org/10.1007/978-3-030-80599-9_3
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