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arxiv: 1505.01716 · v1 · pith:54ROA5V2new · submitted 2015-05-07 · 💻 cs.MA

Spacetimes with Semantics (II), Scaling of agency, semantics, and tenancy

classification 💻 cs.MA
keywords agencyindividualscalingsemanticsemanticsspacespacetimestenancy
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Using Promise Theory as a calculus, I review how to define agency in a scalable way, for the purpose of understanding semantic spacetimes. By following simple scaling rules, replacing individual agents with `super-agents' (sub-spaces), it is shown how agency can be scaled both dynamically and semantically. The notion of occupancy and tenancy, or how space is used and filled in different ways, is also defined, showing how spacetime can be shared between independent parties, both by remote association and local encapsulation. I describe how to build up dynamic and semantic continuity, by joining discrete individual atoms and molecules of space into quasi-continuous lattices.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Cooperation in Human and Machine Agents: Promise Theory Considerations

    cs.AI 2026-04 unverdicted novelty 3.0

    Promise Theory supplies a unified framework for cooperation, signaling, trust, and feedback across human, hardware, software, and AI agents.

  2. From Observability to Significance in Distributed Information Systems

    cs.MA 2019-07 unverdicted novelty 3.0

    A promise theory framework is presented to model three views of distributed systems that track information transmission and loss through distinguishable observations and classical causality.