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of 39
pro vyhledávání: '"Park, Deokgun"'
Scatterplots are a common tool for exploring multidimensional datasets, especially in the form of scatterplot matrices (SPLOMs). However, scatterplots suffer from overplotting when categorical variables are mapped to one or two axes, or the same cont
Externí odkaz:
http://arxiv.org/abs/2301.10843
The neural implementation of operant conditioning with few trials is unclear. We propose a Hippocampus-Inspired Cognitive Architecture (HICA) as a neural mechanism for operant conditioning. HICA explains a learning mechanism in which agents can learn
Externí odkaz:
http://arxiv.org/abs/2212.08626
Autor:
Park, Deokgun
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. The term AI is used in a broad
Externí odkaz:
http://arxiv.org/abs/2108.03793
Task-specific AI agents are showing remarkable performance across different domains. But modeling generalized AI agents like human intelligence will require more than current datasets or only reward-based environments that don't include experiences t
Externí odkaz:
http://arxiv.org/abs/2012.14842
Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI). We conjecture that learning from others' experience with the language is the essential characterist
Externí odkaz:
http://arxiv.org/abs/2011.09410
Autor:
Pothula, Aishwarya, Mondol, Md Ashaduzzaman Rubel, Narasimhan, Sanath, Islam, Sm Mazharul, Park, Deokgun
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. To learn in a human-like way, we need to provide a diverse experience that is c
Externí odkaz:
http://arxiv.org/abs/2009.01810
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. might no
Externí odkaz:
http://arxiv.org/abs/2007.09300
Autor:
Chalbi, Amira, Ritchie, Jacob, Park, Deokgun, Choi, Jungu, Roussel, Nicolas, Elmqvist, Niklas, Chevalier, Fanny
The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere veloci
Externí odkaz:
http://arxiv.org/abs/1908.00661
Overplotting of data points is a common problem when visualizing large datasets in a scatterplot, particularly when mapping nominal dimensions to one of the scatterplot axes. Transparency, aggregation, and jittering have previously been suggested to
Externí odkaz:
http://arxiv.org/abs/1708.08033
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