Enabling Accountable Collaboration in Distributed, Autonomous Systems by Intelligent Agents
| Autor: | Francesco Moscato, Flora Amato, Pasquale Femia |
|---|---|
| Přispěvatelé: | Barolli L., Hussain F., Ikeda M., Amato, F., Femia, P., Moscato, F., Barolli L., Ikeda M., Hussain F.K., Amato, Flora, F., and Femia, P., and Moscato |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Cloud computing 02 engineering and technology Distributed collaboration Computer security computer.software_genre Design and implementation Intelligent agent 0502 economics and business 0202 electrical engineering electronic engineering information engineering Economic transaction Autonomous agent 020203 distributed computing 050208 finance business.industry 05 social sciences Liability Degree of distribution Network security Autonomous system Work (electrical) Software agent Accountability Distributed system business Internet of Things computer Heterogeneous system Hot research topics Distributed computer systems |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030223533 CISIS |
| Popis: | High degree of distribution is one of the leading features in present computer systems. Cloud Computing, Internet of Things and Blockchains are nowadays very hot research topics and we are going to use these architectures in many critical domains, like e-health, conservation of documents and acts in accordance with the law, economic transactions and contracts etc. When dealing with such heterogeneous systems, it is really hard to understand if a distributed collaboration among agents fulfils requirements, rules and current laws. In addition, if something goes wrong during collaboration, assigning accountability is even more complicated. This work aims at introducing a novel methodology and a formal framework able to attribute liability of failures or incorrect design and implementation both to humans and software agents in autonomous, distributed systems. © 2020, Springer Nature Switzerland AG. |
| Databáze: | OpenAIRE |
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