Abstract
In many areas like medicine, there is a wide range of promising use cases for nanostructures and nanonetworks. While many machine models and suggestions for individual components have been proposed in the past, the field lacks an enveloping modeling framework. Researchers rarely specify a machine model for their proposed solutions, and as a result, partial solutions are often incompatible. With a large set of devices, a partially observable stochastic environment, and noisy observations, many components of such nanoscale systems can be modeled as a decentralized, partially observable, Markov decision process with special communication capabilities (DecPOMDPcom). We extend and specify an existing set of component-based definitions to allow for much more precise specifications and the generation of autonomous programs for nanobots."
| Original language | English |
|---|---|
| Title of host publication | 9th ACM International Conference on Nanoscale Computing and Communication 2022 (ACM NanoCom'22) |
| Editors | Josep Miguel Jornet, Massimiliano Pierobon |
| Number of pages | 7 |
| Place of Publication | Barcelona Catalunya Spain |
| Publisher | Association for Computing Machinery |
| Publication date | 03.10.2022 |
| Pages | 1-7 |
| Article number | 2 |
| ISBN (Print) | 978-1-4503-9867-1 |
| Publication status | Published - 03.10.2022 |
| Event | NANOCOM 22: 9th ACM International Conference on Nanoscale Computing and Communication - Barcelona, Spain Duration: 05.10.2022 → 07.10.2022 https://dl.acm.org/doi/proceedings/10.1145/3558583 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 14 Life Below Water
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SDG 15 Life on Land
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
- Research Area: Intelligent Systems
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