… comfortable asking these questions about human-human learning relationships, but with …
learning interactions take place. In contexts where this practice is no longer exclusively human, …

… human learning processes is also of considerable practical significance. Gaining insights
into the principles underlying human learning … that research into intelligent computer-assisted …

… How can we design intelligent … intelligent systems to solve problems more like humans,
or can we augment existing algorithms? What do people need to know about an intelligent …

… Human representation learning and inference is increasingly characterized through a
Bayesian lens, and is seen to be key to fast human learning. Lake and colleagues proposed an …

… The recent observance of the silver anniversary of artificial intelligence has been heralded
by a surge of interest in machine learning-both in building models of human learning and in …

… machine learning covered in this book include: learning from examples, modeling human
learning … for expert systems, learning heuristics, learning from instruction, learning by analogy, …

… Artificial Intelligence (AI) as a subfield of computer science and human computer interaction
… (NLP) in order to combine human learning and machine reasoning. As expressed by …

… The field of artificial intelligence grew out of the attempt in the late 1950s to build computer
programs that could carry out tasks requiring human intelligence. The goal was to build …

… The development of artificial intelligence (AI) is often described in terms of human progress.
The recent progress of machine learning, supported by growing amounts of available data …

… respect, a computer program performing this task can be thought of as artificially intelligent.
… -based learning, will be most appropriate. Artificial intelligence and machine learning have …