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 …

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 …

Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense

Y Zhu, T Gao, L Fan, S Huang, M Edmonds, H Liu… - Engineering, 2020 - Elsevier
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 …

SenticNet

E Cambria, A Hussain, E Cambria… - Sentic computing: a …, 2015 - Springer
SenticNet is the knowledge base which the sentic computing framework leverages on for
concept-level sentiment analysis. This chapter illustrates how such a resource is built. In …

Towards deep symbolic reinforcement learning

M Garnelo, K Arulkumaran, M Shanahan - arXiv preprint arXiv:1609.05518, 2016 - arxiv.org
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 …

[图书][B] Handbook of knowledge representation

F Van Harmelen, V Lifschitz, B Porter - 2008 - books.google.com
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 …

[图书][B] Sentic computing: Techniques, tools, and applications

E Cambria, A Hussain - 2012 - books.google.com
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 …

Semi-supervised learning for big social data analysis

A Hussain, E Cambria - Neurocomputing, 2018 - Elsevier
In an era of social media and connectivity, web users are becoming increasingly
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 …

Coupling large language models with logic programming for robust and general reasoning from text

Z Yang, A Ishay, J Lee - arXiv preprint arXiv:2307.07696, 2023 - arxiv.org
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 …