Surveys entire field of learning and memory, including subfields not usually covered in mainstream works, such as prenatal and skills learning.
This book surveys the entire field of learning and memory. It describes the major approaches to its study and looks at basic assumptions and philosophical underpinnings. Howard integrates work from quite different perspectives into a single framework, and describes peripheral areas not usually mentioned in mainstream books, such as prenatal learning, constraints on knowledge, nonconnectionist machine learning, intelligence and learning, and skills learning. He gives the reader a broad knowledge of what the field is all about, what its parts are and how they interrelate, its major principles and key applications. The primary contribution of this work is the integration of current thinking about learning with the literature and research on memory.