Multi Agent Systems

Abstract

The dominant paradigm of the modern internet, built on graphical user interfaces (GUIs) and discrete web applications, forces users into a fragmented and manual process of interaction, fundamentally limiting the complexity of tasks that can be automated. This paper argues for a new architectural paradigm: an AI-powered network of autonomous digital agents that replaces manual navigation with goal-oriented, natural language-based service procurement. To establish the necessity and viability of this approach, a critical literature review of dominant service-oriented architectures is conducted. The analysis reveals that Microservice Architecture (MSA), despite its advantages, suffers from inherent complexities in communication, discovery, and data management that undermine true service autonomy. A review of its predecessors finds that Service-Oriented Architecture (SOA) was hindered by centralized bottlenecks, while the Semantic Web’s vision of a machine-readable web failed due to the rigidity and complexity of its formal, logic-based approach. Furthermore, modern Web3 architectures, while offering decentralization, are shown to have severe limitations in scalability, cost, and flexibility that make them unsuitable for dynamic agent collaboration. The paper concludes that these existing paradigms contain fundamental gaps and posits that a Multi-Agent System (MAS) architecture provides a more robust and appropriate foundation for building a truly autonomous, post-GUI digital ecosystem.