Initial Goal Allocation for Multi-agent Systems
In the multi-agent environment, a human expert engages inthe allocation of objectives among individual agents. How-ever, autonomous agents need to determine and allocate ob-jectives without external intervention from humans. There-fore, in this research, we attempt to solve initial goal distri-butio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2024-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/135601 |
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| Summary: | In the multi-agent environment, a human expert engages inthe allocation of objectives among individual agents. How-ever, autonomous agents need to determine and allocate ob-jectives without external intervention from humans. There-fore, in this research, we attempt to solve initial goal distri-bution challenges in multi-agent settings by developing twogoal allocation algorithms. The primary objectives are to findcost-effective goal solution sets and distribute them evenlyamong available agents. We introduce two algorithms whenthe goals are structured in a hierarchical goal tree structure,and then test their efficiency across a variety of baseline al-location methods. Both algorithms were able to increase theperformance of agents in multi-agent settings by finding themost optimal distributions of goals and allowing agents to actindependently from human intervention. |
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| ISSN: | 2334-0754 2334-0762 |