Towards the Trusted Population-Based Optimization Systems
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- Sato Hiroshi
- Department of Computer Science, National Defense Academy
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- Kubo Masao
- Department of Computer Science, National Defense Academy
説明
Following the development of evolutionary computation, various population-based optimization methods have been proposed. In these systems, optimization is achieved through the interactions of many individuals/particles/agents. However, when the system is implemented in a distributed environment, reliability becomes an issue. In such an environment, it may not be possible to trust others. There are numerous cases which we cannot guarantee trust, such as malfunction of distributed parts or failure to synchronize. Therefore, we have to make trust between distributed individuals/particles/agents. The record of past actions is usually a good tool for generating trust. This paper introduces the blockchain mechanism into the population-based optimization system to make a trust management system. By using blockchain, we can implement it without a central authority. In the system, all interactions are reviewed and get feedback, and the feedback is used to calculate the trust score.
収録刊行物
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- 人工生命とロボットに関する国際会議予稿集
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人工生命とロボットに関する国際会議予稿集 27 241-244, 2022-01-20
株式会社ALife Robotics
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詳細情報 詳細情報について
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- CRID
- 1390854717504305536
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- ISSN
- 21887829
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可
