HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916442109116416 |
|---|---|
| author | Lacavalla, Emmanuele Yang, Shuyi Crupi, Riccardo Gonzalez, Joseph E. |
| author_facet | Lacavalla, Emmanuele Yang, Shuyi Crupi, Riccardo Gonzalez, Joseph E. |
| contents | This project, named HEnRY, aims to introduce a Multi-Agent System (MAS) into Intesa Sanpaolo. The name HEnRY summarizes the project's core principles: the Hierarchical organization of agents in a layered structure for efficient resource management; Efficient optimization of resources and operations to enhance overall performance; Reactive ability of agents to quickly respond to environmental stimuli; and Yielding adaptability and flexibility of agents to handle unexpected situations. The discussion covers two distinct research paths: the first focuses on the system architecture, and the second on the collaboration between agents. This work is not limited to the specific structure of the Intesa Sanpaolo context; instead, it leverages existing research in MAS to introduce a new solution. Since Intesa Sanpaolo is organized according to a model that aligns with international corporate governance best practices, this approach could also be relevant to similar scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12720 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts Lacavalla, Emmanuele Yang, Shuyi Crupi, Riccardo Gonzalez, Joseph E. Multiagent Systems Artificial Intelligence Distributed, Parallel, and Cluster Computing This project, named HEnRY, aims to introduce a Multi-Agent System (MAS) into Intesa Sanpaolo. The name HEnRY summarizes the project's core principles: the Hierarchical organization of agents in a layered structure for efficient resource management; Efficient optimization of resources and operations to enhance overall performance; Reactive ability of agents to quickly respond to environmental stimuli; and Yielding adaptability and flexibility of agents to handle unexpected situations. The discussion covers two distinct research paths: the first focuses on the system architecture, and the second on the collaboration between agents. This work is not limited to the specific structure of the Intesa Sanpaolo context; instead, it leverages existing research in MAS to introduce a new solution. Since Intesa Sanpaolo is organized according to a model that aligns with international corporate governance best practices, this approach could also be relevant to similar scenarios. |
| title | HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts |
| topic | Multiagent Systems Artificial Intelligence Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2410.12720 |