A Higher-order Calculus of Computational Fields
Not on the map. Why?
Abstract (arXiv)
The complexity of large-scale distributed systems, particularly when deployed in physical space, calls for new mechanisms to address composability and reusability of collective adaptive behaviour. Computational fields have been proposed as an effective abstraction to fill the gap between the macro-level of such systems (specifying a system's collective behaviour) and the micro-level (individual devices' actions of computation and interaction to implement that collective specification), thereby providing a basis to better facilitate the engineering of collective APIs and complex systems at higher levels of abstraction. This paper proposes a full formal foundation for field computations, in terms of a core (higher-order) calculus of computational fields containing a few key syntactic constructs, and equipped with typing, denotational and operational semantics. Critically, this allows formal establishment of a link between the micro- and macro-levels of collective adaptive systems, by a result of full abstraction and adequacy for the (aggregate) denotational semantics with respect to the (per-device) operational semantics.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Oct 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 2; 2026: 1.
6 papers.
- 2025FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learningcited by 5
- 2022Space-Fluid Adaptive Sampling by Self-Organisationcited by 2
- 2024MacroSwarm: A Field-based Compositional Framework for Swarm Programmingcited by 2
- 2024Software Engineering for Collective Cyber-Physical Ecosystemscited by 2
- 2025Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0cited by 1
- 2026Phyelds: A Pythonic Framework for Aggregate Computingcited by 1
- 2026Phyelds: A Pythonic Framework for Aggregate Computing31 Mar 2026
- 2025Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.010 Jul 2025
- 2025FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning12 Feb 2025
- 2024Software Engineering for Collective Cyber-Physical Ecosystems7 Jun 2024
- 2024MacroSwarm: A Field-based Compositional Framework for Swarm Programming19 Jan 2024
- 2022Space-Fluid Adaptive Sampling by Self-Organisation31 Oct 2022