Benchmarks for automated commonsense reasoning: A survey
E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
Commonsense reasoning and commonsense knowledge in artificial intelligence
E Davis, G Marcus - Communications of the ACM, 2015 - dl.acm.org
Commonsense reasoning and commonsense knowledge in artificial intelligence Page 1 92
COMMUNICATIONS OF THE ACM | SEPTEMBER 2015 | VOL. 58 | NO. 9 review articles DOI:10.1145/2701413 …
COMMUNICATIONS OF THE ACM | SEPTEMBER 2015 | VOL. 58 | NO. 9 review articles DOI:10.1145/2701413 …
Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …
paradigm, under which massive amounts of data are used to train a classifier for a single …
Towards deep symbolic reinforcement learning
Deep reinforcement learning (DRL) brings the power of deep neural networks to bear on the
generic task of trial-and-error learning, and its effectiveness has been convincingly …
generic task of trial-and-error learning, and its effectiveness has been convincingly …
[图书][B] Handbook of knowledge representation
Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
[图书][B] Sentic computing: Techniques, tools, and applications
In this book common sense computing techniques are further developed and applied to
bridge the semantic gap between word-level natural language data and the concept-level …
bridge the semantic gap between word-level natural language data and the concept-level …
Semi-supervised learning for big social data analysis
In an era of social media and connectivity, web users are becoming increasingly
enthusiastic about interacting, sharing, and working together through online collaborative …
enthusiastic about interacting, sharing, and working together through online collaborative …
Socially emotional brain-inspired cognitive architecture framework for artificial intelligence
AV Samsonovich - Cognitive Systems Research, 2020 - Elsevier
Artificial Intelligence of the next generation needs to interact with users socially, convincing
them in its ability to understand human minds, including emotions. For this to happen, an …
them in its ability to understand human minds, including emotions. For this to happen, an …
Coupling large language models with logic programming for robust and general reasoning from text
While large language models (LLMs), such as GPT-3, appear to be robust and general, their
reasoning ability is not at a level to compete with the best models trained for specific natural …
reasoning ability is not at a level to compete with the best models trained for specific natural …