The agents of this model are classified in two categories: control agents and service management environment agents. To define these agents we have used an ...
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Model Learning and Knowledge Sharing for Cooperative Multiagent ...
pmc.ncbi.nlm.nih.gov › PMC7338261
In this article, we focus on developing an efficient model learning and knowledge-sharing mechanism in a large stochastic environment by using multiple agents.
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Jan 7, 2020 · In this article, we present an incremental model learning scheme to reconstruct the model of a stochastic environment.
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May 25, 2021 · In this paper, we present an adaptation method of the majority of multi-agent reinforcement learning (MARL) algorithms called KnowSR which takes advantage of ...
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As well, this model is suitable for knowledge sharing. This paper is inspired by the concept of knowledge sharing methods in multiagent systems where an agent ...
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This article has presented an ontology model that supports knowledge-sharing in multi-agent systems where the agents can be heterogeneous. The proposed model ...
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Model of Knowledge Spreading for Multi-agent Systems. - dblp
dblp.dagstuhl.de › iceis › OviedoRHCSE10
Bibliographic details on Model of Knowledge Spreading for Multi-agent Systems.
Dec 5, 2022 · We propose a novel information sharing model in multi-agent reinforcement learning (MARL), named the Entity-Teammate Hierarchical Fusion (ET-HF) model.
This paper constructed a tripartite evolutionary game model of knowledge sharing among platform enterprises, participating enterprises and users.
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In this paper, we propose a model of an Intelligent Multi-Agent System based on three distributed knowledge bases for solving problems automatically.