Advanced Cognitive Artificial Intelligence Systems for LLM-based Conversation Agents

The proposed research addresses fundamental challenges in developing LLM-based AI conversational agents for industry, health and related fields. The partner organization, Industrio AI is interested in overcoming these challenges by using new AI techniques that enable smarter, more natural, empathetic, and responsive AI chatbots for their customers. The goal is to produce a protoype for a new cognitive-based LLM conversational AI chatbots for the IT industry (and related fields) to engage users in deeper conversations. Industrio AI experts and DiPaola’s research lab will work together to begin to update and implement our research in new cognitive-based techniques such as advanced integrated RAGS (Retrieval Augmented Generation systems), emotion recognition, internal memory systems, self-reflection, empathy and self-awareness system. DiPaola’s research lab has worked extensively in this space (DiPaola, Arya 2006; DiPaola, Yalçin 2019; Shakeri, Neustaedter, DiPaola, 2021; Gonzalez, DiPaola, 2024). Ultimately, this collaborative endeavour will enhance the current state-of-the-art systems in advanced AI for conversational agents, including ethical guidelines for the betterment of society to the Canadian public. Integrating empathy, human understanding, and personality modelling into improved AI agents represents a significant advancement that can revolutionize and increase accessibility to education, training and coaching across multiple sectors.

Faculty Supervisor:

Steve DiPaola

Student:

Partner:

Industrio AI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program: