What question did this study set out to answer?

Define the never-ending learning paradigm in machine learning and evaluate an autonomous agent designed to continuously acquire diverse knowledge and improve its competence over multiple years.

April 24, 2018Communications of the ACMOpen Access

Never-ending learning

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Authors

TMTom M. MitchellRutgers, The State University of New Jersey WCWilliam W. CohenRutgers, The State University of New Jersey EHEstevam HruschkaUniversidade Federal do Rio de Janeiro

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Implication

Case evaluation demonstrates continuous autonomous knowledge extraction from the web in intelligent agents, indicating a pathway toward lifelong machine learning.

Key Points

Define the never-ending learning paradigm in machine learning and evaluate an autonomous agent designed to continuously acquire diverse knowledge and improve its competence over multiple years.
Deployed the Never-Ending Language Learner (NELL) architecture to continuously crawl and read unstructured web text 24 hours per day starting in January 2010.
Trained thousands of coupled learning functions to extract facts, infer unread beliefs through knowledge-base reasoning, and formulate new relational predicates to expand the underlying ontology.
NELL acquired a structured knowledge base comprising over 120 million diverse, confidence-weighted beliefs over multiple years of continuous operation.
The agent successfully self-improved reading competence over time, autonomously inferred unstated facts from stored beliefs, and invented novel relational predicates to extend its conceptual ontology.

Cite This Study

Mitchell et al. (2018) studied this question.

synapsesocial.com/papers/69ff9cdbb124fe58198588c6 https://doi.org/10.1145/3191513

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Implication

Case evaluation demonstrates continuous autonomous knowledge extraction from the web in intelligent agents, indicating a pathway toward lifelong machine learning.

Never-ending learning

Discussion

Member takes

Implication

Key Points

Cite This Study

Never-ending learning

Discussion

Member takes

Implication

Key Points

Cite This Study

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