M. Trigka

Intelligent agents: architectures, learning paradigms, deployment models, and applications

This survey develops a unified taxonomy that systematically integrates learning paradigms, agent architectures, coordination mechanisms, deployment models, application domains, and evaluation frameworks from a common analytical perspective and provides a structured foundation for future advances in intelligent agent systems.