Modular Design Patterns for Hybrid Actors
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Abstract (arXiv)
Recently, a boxology (graphical language) with design patterns for hybrid AI was proposed, combining symbolic and sub-symbolic learning and reasoning. In this paper, we extend this boxology with actors and their interactions. The main contributions of this paper are: 1) an extension of the taxonomy to describe distributed hybrid AI systems with actors and interactions; and 2) showing examples using a few design patterns relevant in multi-agent systems and human-agent interaction.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 31 references that are in the map. First posted on arXiv 20 Sep 2021.
Builds on
4 of 31 references.
References · 4
- 2019Advances and Open Problems in Federated Learningcited by 3,046
- 2021Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use casescited by 39
- 2019A Boxology of Design Patterns for Hybrid Learning and Reasoning Systemscited by 20
- 2021Intelligent Software Web Agents: A Gap Analysiscited by 2
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1.
2 papers.