Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

… centred on machine learning technology. The present article examines that paradigm shift
by … We discuss the most recent such transition in the field of Artificial Intelligence, as well as …

This book presents a new methodological analysis of the two competing research paradigms
of artificial intelligence and cognitive science-the symbolic versus the connectionist …

… In this review, we mainly discussed several most powerful and mainstream architectures,
including the convolutional neural network (CNN), recurrent neural network (RNN), and deep …

… history is the creation of general artificial intelligence, which roughly means AI that is as …
machine learning community is to attempt to discover each of the pieces required for intelligence…

… , artificial intelligence (AI) has been widely applied in educational practices (Artificial Intelligence
in Education; AIEd), such as intelligent … as a powerful tool to facilitate new paradigms for …

… Abstract There have been two competing paradigms in artificial intelligence (AI) …
powerful reinforcement learning could be a possible solution to general artificial intelligence…

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in
the context of building major AI systems. By reconstructing authentic, complex AI programs …

… Also in 2018, the UK set up an Office for Artificial Intelligence (OAI) 14 to enhance cooperation
between different government departments, ministries, and multi-stakeholders in the …

… paradigm just beyond it. This paper attempts to predict and define what future paradigms are
in store for artificial intelligence (… However, deduction (or cognition) alone is not powerful or …