Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects. (view table of contents)

Product Description: Human learning is studied in a variety of ways. Motor learning is often studied separately from verbal learning. Studies may delve into anatomy vs function, may view behavioral outcomes or look discretely at the molecular and cellular level of learning...read more