2020Unpublished venueOpen access

Cohesive Hybrid Intelligent Multi-Agent System Architecture

Sergey Listopad

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Abstract

The paper is devoted to the development of architecture of a new class of intelligent system, namely a cohesive hybrid intelligent multi-agent system. This intelligent system is designed to model collective problem solving by an expert team at round-table. Like traditional hybrid intelligent multi-agent systems, this system integrates the advantages of the hybrid intelligent system concept and the multi-agent approach. The key difference of the proposed class of intelligent systems is the modeling of expert team cohesion, by coordinating goals, domain models and developing problem-solving protocol by agents. These mechanisms are especially relevant when a hybrid intelligent multi-agent system is built from agents developed by various independent teams. The paper presents the model of cohesive hybrid intelligent multi-agent system, its functional structure, and the architectures of its agents.

About this research paper

What this paper is about

The paper is devoted to the development of architecture of a new class of intelligent system, namely a cohesive hybrid intelligent multi-agent system. This intelligent system is designed to model collective problem solving by an expert team at round-table. Like traditional hybrid intelligent multi-agent systems, this system integrates the advantages of the hybrid intelligent system concept and the multi-agent approach. The key difference of the proposed class of intelligent systems is the modeling of expert team cohesion, by coordinating goals, domain models and developing problem-solving protocol by agents. These mechanisms are especially relevant when a hybrid intelligent multi-agent system is built from agents developed by various independent teams. The paper presents the model of cohesive hybrid intelligent multi-agent system, its functional structure, and the architectures of its agents.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper is devoted to the development of architecture of a new class of intelligent system, namely a cohesive hybrid intelligent multi-agent system. This intelligent system is designed to model collective problem solving by an expert team at round-table. Like traditional hybrid intelligent multi-agent systems, this system integrates the advantages of the hybrid intelligent system concept and the multi-agent approach. The key difference of the proposed class of intelligent systems is the modeling of expert team cohesion, by coordinating goals, domain models and developing problem-solving protocol by agents. These mechanisms are especially relevant when a hybrid intelligent multi-agent system is built from agents developed by various independent teams. The paper presents the model of cohesive hybrid intelligent multi-agent system, its functional structure, and the architectures of its agents.

Key concepts: Agent architecture, Intelligent agent, Computer science, Intelligent decision support system, Hybrid system, Multi-agent system, Distributed computing, Architecture

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