Unleashing Artificial Cognition: Integrating Multiple AI Systems

Muntasir Adnan, Buddhi Gamage, Danny XU, Damith HERATH, Carlos C.N. Kuhn

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

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}.
Original languageEnglish
Title of host publicationACIS 2024 Proceedings.
EditorsShirley Gregor, Craig McDonald, Blooma John, Ahmed Imran, Israr Qureshi, Ghassan Beydoun, Juliana Sutanto, Nilmini Wickramasinghe, Micheal Axelsen, Hamed Sarbazhosseini
PublisherAIS Electronic Library (AISeL)
Pages1-13
Number of pages13
Publication statusPublished - 10 Dec 2024
EventAustralasian Conference on Information Systems 2024: Digital Futures for a Sustainable Society - Canberra, Canberra, Australia
Duration: 4 Dec 20246 Dec 2024
Conference number: 34
https://acis.aaisnet.org/acis2024/

Conference

ConferenceAustralasian Conference on Information Systems 2024
Abbreviated titleACIS 2024
Country/TerritoryAustralia
CityCanberra
Period4/12/246/12/24
Internet address

Fingerprint

Dive into the research topics of 'Unleashing Artificial Cognition: Integrating Multiple AI Systems'. Together they form a unique fingerprint.

Cite this