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AGI via Multi-Agent Systems: Towards a Scalable and Adaptive Intelligence Model

by Malhar P. Ubhe, Rahul M. Samant
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 13
Year of Publication: 2025
Authors: Malhar P. Ubhe, Rahul M. Samant
10.5120/ijca2025925180

Malhar P. Ubhe, Rahul M. Samant . AGI via Multi-Agent Systems: Towards a Scalable and Adaptive Intelligence Model. International Journal of Computer Applications. 187, 13 ( Jun 2025), 21-27. DOI=10.5120/ijca2025925180

@article{ 10.5120/ijca2025925180,
author = { Malhar P. Ubhe, Rahul M. Samant },
title = { AGI via Multi-Agent Systems: Towards a Scalable and Adaptive Intelligence Model },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2025 },
volume = { 187 },
number = { 13 },
month = { Jun },
year = { 2025 },
issn = { 0975-8887 },
pages = { 21-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number13/agi-via-multi-agent-systems-towards-a-scalable-and-adaptive-intelligence-model/ },
doi = { 10.5120/ijca2025925180 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-06-21T01:57:02.439936+05:30
%A Malhar P. Ubhe
%A Rahul M. Samant
%T AGI via Multi-Agent Systems: Towards a Scalable and Adaptive Intelligence Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 13
%P 21-27
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial General Intelligence (AGI), one of the most crucial domains of Artificial Intelligence (AI), which aims to develop systems that are capable of performing broad-scale cognitive tasks which require human intelligence and tasks that require more than narrow intelligence. The major challenge is to identify such tasks that could be termed as AGI tasks and determining the techniques required to attain general intelligence. This review paper clearly defines the category of AGI tasks and explores the existing techniques for AGI development. A novel framework is proposed using tools like Autogen, LangChain, and Phidata to develop a multi-agentic workflow for performing AGI tasks that would define a future path towards AGI development.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Agentic Collaboration Workflow Agents and Large Language Models Multi-Agent Framework.

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