Learning to do and learning to understand : a lesson and a challenge for cognitive modeling

Book's abstract : The book discusses the analysis, comparison and integration of computational approaches to learning and research on human learning. Learning has for some time been an issue of minor importance in the cognitive sciences. It has, however, now become one of the most active research fields in psychology, the neurosciences, and computer science (machine learning). The aim of this book is to provide the reader with an overview of the prolific research on learning throughout the disciplines. The book will not only provide a general overview for those who are new to the field but will also provide specialist knowledge for those who want to learn more about alternative approaches and conceptualizations of learning in other disciplines. The contributing authors are all considered as leading experts in their field and come from the fields of cognitive, computer and educational science. They provide an assessment of the state-of-the-art of research, links between the disciplines, and they highlight the critically important research issues and methodologies, thus providing a basis for future research. (http://books.emeraldinsight.com/display.asp?K=9780080425696&cur=GBP&sf1=kword_index&sort=sort_date%2Fd&st1=learning+in+humans&sf2=eh_cat_class&button_login=Go&m=1&dc=1)

Data and Resources

Additional Info

Field Value
Source Learning in humans and machines towards an interdisciplinary learning science
Author Ohlsson, Stellan
Maintainer CCSD
Last Updated May 17, 2026, 19:04 (UTC)
Created May 17, 2026, 19:04 (UTC)
Identifier hal-00699807
Language en
contributor Department of Psychology ; University of Illinois System
creator Ohlsson, Stellan
date 1996-05-17T00:00:00
harvest_object_id 6ead98d4-5189-4783-b8a4-cc540a86b1a6
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2019-09-17T00:00:00
set_spec type:COUV