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A New Game Model of Task Forwarding for a Multiagent System Based on a Reputation Mechanism
- Source :
- IEEE Transactions on Circuits and Systems II: Express Briefs. 69:1089-1093
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Promoting the efficiency of task forwarding is a key issue in search and rescue operations, aerospace applications and so on. In this paper, we introduce a reputation mechanism existing in an evolutionary game into the task forwarding process of a multiagent system to promote the cooperation rate between agents. Combining the reputation mechanism with strategy updating of a multiagent system, a model based on evolutionary game theory is built and tested, and key factors such as the reputation threshold and the percentage of agents who initially select the forwarding strategy are analyzed in this paper. A numerical simulation shows that compared with previous studies, the model in this paper can make the proportion of agents choosing the forwarding strategy in a multiagent system reach a steady state faster. Through an analysis of various parameters, we also make this new model applicable to more realistic situations, which provides a more appropriate method for task forwarding in multiagent systems.
- Subjects :
- Computer simulation
Computer science
Process (engineering)
Multi-agent system
Distributed computing
media_common.quotation_subject
Evolutionary game theory
ComputingMethodologies_ARTIFICIALINTELLIGENCE
Task (project management)
Key (cryptography)
Electrical and Electronic Engineering
Search and rescue
Reputation
media_common
Subjects
Details
- ISSN :
- 15583791 and 15497747
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Accession number :
- edsair.doi...........757d751ef5c6970d67a3c3648b3a7c6a