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NuNet Whitepaper
NuNet Whitepaper
  • NuNet Whitepaper
  • Summary
  • 🌎Global Computing Infrastructure
    • Current State: data and computing silos
    • A flexible, decentralized computational universe
  • 🌐System architecture
    • Overview
    • Computational and Functional Principles
      • Context Awareness
      • Mobility
      • Value Exchange
    • Supported functionalities
      • Mobile Computational Processes
      • Flexible Workflow Design
      • Data and Value Production & Exchange
      • Logical Scalability
      • Verification and Validation
      • An Ecosystem of Adaptive Decentralized Computations
      • Learning and Meta-Learning
      • Human-mediated Cognitive Development
  • 💼Business and Operational Model
    • Multi-sided platform
      • Compute providers
      • Data Providers
      • AI Service Providers
      • Consumers
      • Network Operators
      • Technical Partners
      • Platform Developers
      • NuNet Organization
    • Partnerships and envisioned interoperations
      • SingularityNET
      • Decentralized AI Alliance (DAIA)
      • SingularityDAO
      • COD
      • Others
  • 👨‍💻Governance & Decentralization
    • Governance
    • Governance Roadmap
    • Future NuNet Token
      • Dynamic Pricing and Demand/Supply Dynamics
    • Ecosystem Building and Token Distribution
  • 💻Technical roadmap and Use Cases
    • Initial technical roadmap
    • Potential Use Cases
    • Large Partnerships
  • 🔗Whitepaper download and references
  • Important Notice
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  1. System architecture
  2. Computational and Functional Principles

Context Awareness

PreviousComputational and Functional PrinciplesNextMobility

Last updated 2 years ago

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Context awareness, provided by NuNet agents, will amount to awareness of location and proximity to other NuNet agents in the network. Proximity in this sense means the cost of collaboration with these agents and includes a list of parameters which may be agent specific and therefore not centrally managed.

Considering the wide variety of hardware devices, the network of NuNet agents will constitute a dynamic topology where physical location of resources may change over time, as well as resources can go offline and pop-up in other places. The topology of NuNet’s network, however, will be defined not by geographic distribution of physical resources, but rather by the relative costs of transferring data between agents in a workflow in terms of time and price.

Each NuNet agent installed in a particular device or resource will accumulate, keep and update this information upon request and provide it to computational agents via an open API. Note that NuNet agent will be radically decentralized in the sense that no meta-agent will control or have information about the whole network. Therefore, context awareness functionality will include methods of querying and learning local network topologies by individual NuNet agents, eventually supporting and enabling automatic or semi-automatic search and discovery of computational processes as required by clients or other processes in the ecosystem, independently of the network or physical location of processes.

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