Abstract
We present an updated position integrating cognitive architectures into workflow by utilizing the architecture for what it does most effectively: human-like few-shot learning integrating the vast amount of data stored by foundation models. By supplementing the language-generation capabilities with the constraints of cognitive-architectures guiding prompts, it should be possible to generate more relevant output and possibly even predict when the foundation model is hallucinating. Recent advances in few-shot learning capabilities of cognitive architectures in applied domains will be discussed with some parallel capabilities described by foundation models. Just as we use research from social psychology to 'nudge' people into making informed decisions, we should be able to use cognitive architectures to 'nudge' foundation models into developing more human-relevant content.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
