A Startup Assessment Approach Based on Multi-Agent and Blockchain Technologies
| Autor: | Ekaterina Voronova, Jean-Paul Calbimonte, Valerio Mattioli, Davide Calvaresi, Michael Schumacher |
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| Rok vydání: | 2019 |
| Předmět: |
Blockchain
Risk analysis (engineering) Computer science 020204 information systems Multi-agent system 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing 02 engineering and technology Architecture Domain (software engineering) |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783030242985 PAAMS (Workshops) |
| DOI: | 10.1007/978-3-030-24299-2_6 |
| Popis: | The dynamic nature of startups is linked to both high risks in investments as well as potentially important financial benefits. A key aspect to manage interactions among investors, experts, and startups, is the establishment of trust guarantees. This paper presents the formalization and implementation of a system enforcing trust in the startup assessment domain. To do so, an existing architecture has been extended, incorporating a multi-agent community and related interactions via private blockchain technology. The developed system enables a trust-based community, immutably storing, tracking, and monitoring the agents’ interactions and reputations. |
| Databáze: | OpenAIRE |
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