no code implementations • 16 Dec 2022 • Deokgun Park, Md Ashaduzzaman Rubel Mondol, Sm Mazharul Islam, Aishwarya Pothula
HICA explains a learning mechanism in which agents can learn a new behavior policy in a few trials, as mammals do in operant conditioning experiments.
no code implementations • 9 Aug 2021 • Deokgun Park
In this paper, we present our research on programming human-level artificial intelligence (HLAI), including 1) a definition of HLAI, 2) an environment to develop and test HLAI, and 3) a cognitive architecture for HLAI.
no code implementations • 29 Dec 2020 • Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park
It simulates the environments for a baby agent that a human baby experiences throughout the pre-born fetus stage to post-birth 12 months.
no code implementations • 18 Nov 2020 • Deokgun Park, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Mazharul Islam
Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI).
no code implementations • 3 Sep 2020 • Aishwarya Pothula, Md Ashaduzzaman Rubel Mondol, Sanath Narasimhan, Sm Mazharul Islam, Deokgun Park
Even with impressive advances in application-specific models, we still lack knowledge about how to build a model that can learn in a human-like way and do multiple tasks.
no code implementations • 18 Jul 2020 • SM Mazharul Islam, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park
As the current trend of artificial intelligence is shifting towards self-supervised learning, conventional norms such as highly curated domain-specific data, application-specific learning models, extrinsic reward based learning policies etc.