Artificial Intelligence: Learning and Limitations

11. Memory Limitations in Artificial Intelligence

Artificial Intelligence (AI) deals with structuring large amounts of data. As a very first example of an expert system [424], take the oldest known scientific treatise surviving from the ancient world, the surgical papyrus [146] of about 3000 BC. It discusses cases of injured men for whom a surgeon had no hope of saving and lay many years unnoticed until it was rediscovered and published for th...

Biological Learning and Artificial Intelligence

It was once taken for granted that learning in animals and man could be explained with a simple set of general learning rules, but over the last hundred years, a substantial amount of evidence has been accumulated that points in a quite different direction. In animal learning theory, the laws of learning are no longer considered general. Instead, it has been necessary to explain behaviour in te...

Next Generation Artificial Intelligence and Machine Learning

Artificial Intelligence and Learning Environments - Preface

The promise of computer-aided instruction (CAI) has always been individualized instruction: providing a learner with an environment that is tailored to his or her learning needs and goals. Although there have been notable successes (e.g., see Larkin et al. [9]), the architecture of CAI systems has been inadequate to provide robust and rich learning environments. Starting in the early 1970s, res...

Artificial Intelligence in Teaching and Learning

Many colleges and universities have seen a steep rise in the number of students pursuing interdisciplinary degrees. Increasingly, students seek degrees in, for example, mechanical engineering with a concentration in anthropology, or U.S. history with a minor in biology, or a double major of mathematics and theater. Such formerly unusual combinations have become almost common, and the emergence ...