JSwarm: A Jingulu-Inspired Human-AI-Teaming Language for Context-Aware Swarm Guidance
Open accessAbstract
Bi-directional communication between humans and swarm systems begs for efficient languages to communicate information between the humans and the Artificial Intelligence (AI)-enabled agents in a manner that is most appropriate for the context. We discuss the criteria for effective teaming and functional bi-directional communication between humans and AI, and the design choices required to create effective languages. We then present a human-AI-teaming communication language inspired by the Australian Aboriginal language of Jingulu, which we call JSwarm. We present the motivation and structure of the language. An example is used to demonstrate how the language operates for a shepherding swarm guidance task.
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The historical alliance between colonialism, capitalism, and research practices involved traditional knowledges being extracted from communities to serve Western science and commerce at the expense of those communities.
“We are mindful of the historical alliance between colonialism, capitalism, and research practices where traditional knowledges were extracted from communities to serve Western science and commerce at the expense of those communities (e.g., Abbass et al. 2022).”
From Abundant intelligences: placing AI within Indigenous knowledge frameworks (2025) · cites this paper as Abbass et al. 2022
Sections 2.1–2.2 describe Aboriginal languages and explain how the authors drew on Jingulu grammar for an AI-teaming language. They do not address a historical alliance between colonialism, capitalism, and research, or say that traditional knowledge was extracted for Western science and commerce at communities’ expense. Searches for those concepts and for Indigenous-knowledge appropriation found no supporting passage in our copy; page numbers were unavailable. (LLM, conf=0.73)
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Cited by
Sorted by citations
Abundant intelligences: placing AI within Indigenous knowledge frameworks
Lewis, J. E., Whaanga, H., & Yolgörmez, C. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02099-4 · Cited by 80 · see citing works
- Authors
- Abbass, H. A., Petraki, E., & Hunjet, R.
- Affiliations
- UNSW Canberra (AU)
- University of Canberra (AU)
- Defence Science and Technology Group (AU)
- Corresponding author
- Abbass, Hussein A.
- Venue
- Frontiers in Physics
- Publisher
- Frontiers Media SA
- Published
- 2022-07-14
- Volume
- 10
- ISSN
- 2296-424X (ISSN-L)
- OpenAlex
- W4285389911
- Cited by
- 6
- References
- 26
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Physics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Office of Naval Research Global (N62909-18-1-2140)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- human-AI teaming, Aboriginal languages, context-aware communication, two-way communication, swarm robotics, shepherding, language design
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