Conversational Agents: An Exploration into Chatbot Evolution, Architecture, and Important Techniques

Abstract

A chatbot is a computer software that mimics a user interaction. It is often referred to as a dialogue system or conversational agent. Developers and academics are increasingly focused in designing and implementing Chatbots. This in-depth look focuses on the ever-changing realm of chatbot technology, concentrating on chatbot evolution, architecture, and techniques that drive the most recent breakthroughs. We begin with a brief history and then follow the progress of Chatbots, emphasizing major milestones. The review focuses on the many architectures used in chatbot creation, ranging from classic rule-based systems to cuttingedge machine learning (ML) and natural language processing (NLP) approaches. We analyze the present status of chatbot technology and its breakthroughs, which include advances in NLP and interpersonal interactions. While demonstrating effective industry practices, we also discuss the architecture of software. Recommendations are made for academics, developers, and enterprises, identifying possible areas for future investigation and development in this quickly changing industry. The paper finishes by projecting future trends and developments in chatbot development.