Goal-driven learning / (Record no. 73239)

000 -LEADER
fixed length control field 03844nam a2200529 i 4500
001 - CONTROL NUMBER
control field 6276843
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204747.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s1995 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262282048
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hc : alk. paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hc : alk. paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 04 - CLASSIFICATION NUMBER
Call Number 006.3/1
245 00 - TITLE STATEMENT
Title Goal-driven learning /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xxii, 507 pages) :
500 ## - GENERAL NOTE
Remark 1 "A Bradford book."
520 ## - SUMMARY, ETC.
Summary, etc In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations.The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts.The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning.A Bradford Book.
700 1# - AUTHOR 2
Author 2 Leake, David B.
700 1# - AUTHOR 2
Author 2 Ram, Ashwin.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276843
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c1995.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [1995]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational learning theory.

No items available.