In this study, we present an innovative fusion of language models and query analysis techniques to unlock cognition in artificial intelligence. The introduced open-source AI system seamlessly integrates a Chess engine with a language model, enabling it to predict moves and provide strategic explanations. Leveraging a vector database to achieve retrievable answer generation, our AI system elucidates its decision-making process, bridging the gap between raw computation and human-like understanding. Our choice of Chess as the demonstration environment underscores the versatility of our approach. Beyond Chess, our system holds promise for diverse applications, from medical diagnostics to financial forecasting. Our AI system is available at https://github.com/TheOpenSI/CoSMIC.git
@article{arxiv.2408.04910,
title = {Unleashing Artificial Cognition: Integrating Multiple AI Systems},
author = {Muntasir Adnan and Buddhi Gamage and Zhiwei Xu and Damith Herath and Carlos C. N. Kuhn},
journal= {arXiv preprint arXiv:2408.04910},
year = {2024}
}
Comments
This paper is accepted to Australasian Conference on Information Systems 2024