Unleashing Artificial Cognition: Integrating Multiple AI Systems

Authors

Muntasir Adnan, University of CanberraFollow
Buddhi Gamage, University of CanberraFollow
Zhiwei Xu, University of CanberraFollow
Damith Herath, University of CanberraFollow
Carlos Kuhn, University of CanberraFollow

Abstract

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 machine's computational cognition 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 \href{https://github.com/TheOpenSI/CoSMIC.git}{https://github.com/TheOpenSI/CoSMIC.git}.

Recommended Citation

Adnan, Muntasir; Gamage, Buddhi; Xu, Zhiwei; Herath, Damith; and Kuhn, Carlos, "Unleashing Artificial Cognition: Integrating Multiple AI Systems" (2024). ACIS 2024 Proceedings. 31.
https://aisel.aisnet.org/acis2024/31