Cognitive Architecture for Decision-Making Based on Brain Principles Programming

Kolonin, Anton; Kurpatov, Andrey; Molchanov, Artem; Averyanov, Gennadiy

doi:10.1016/j.procs.2022.11.054

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…The use of graph structures is motivated in addition by the NP-complexity of the regulatory compliance task [34]. This is likely to drive the use of reinforcement learning agents that reason over sub-graphs of the KG, which can serve as a Cognitive Database in the context of Cognitive Architecture [21]. This approach may result in "eventual compliance" rather than full compliance.…”

Section: Limitations and Future Workmentioning

confidence: 99%

A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph

Ershov¹

2023

Preprint

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The paper presents a study on using language models to automate the construction of executable Knowledge Graph (KG) for compliance. The paper focuses on Abu Dhabi Global Market regulations and taxonomy, involves manual tagging a portion of the regulations, training BERT-based models, which are then applied to the rest of the corpus. Coreference resolution and syntax analysis were used to parse the relationships between the tagged entities and to form KG stored in a Neo4j database. The paper states that the use of machine learning models released by regulators to automate the interpretation of rules is a vital step towards compliance automation, demonstrates the concept querying with Cypher, and states that the produced sub-graphs combined with Graph Neural Networks (GNN) will achieve expandability in judgment automation systems. The graph is open sourced on GitHub to provide structured data for future advancements in the field.

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Section: Limitations and Future Workmentioning

confidence: 99%

A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph

Ershov¹

2023

Preprint

View full text Add to dashboard Cite

show abstract

Cognitive Architecture for Decision-Making Based on Brain Principles Programming

Cited by 1 publication

References 8 publications

A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph

A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph

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