Human Behavior Learning and Transfer

Human Behavior Learning and Transfer
Author: Yangsheng Xu
Publisher: CRC Press
Total Pages: 360
Release: 2005-09-06
Genre: Computers
ISBN: 1000654559

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and trans

Human Behavior Learning and Transfer

Human Behavior Learning and Transfer
Author: Yangsheng Xu
Publisher: CRC Press
Total Pages: 360
Release: 2005-09-06
Genre: Technology & Engineering
ISBN: 9780849377839

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and transferring human skills. They also cover modeling continuous and discontinuous human control strategy and discuss simulation studies and practical real-life situations. The book examines how to model two main aspects of human behavior: reaction skills and action skills. It begins with a discussion of the various topics involved in human reaction skills modeling. The authors apply machine learning techniques and statistical analysis to abstracting models of human reaction control strategy. They contend that such models can be learned sufficiently to emulate complex human control behaviors in the feedback loop. The second half of the book explores issues related to human action skills modeling. The methods presented are based on techniques for reducing the dimensionality of data sets, while preserving as much useful information as possible. The modeling approaches developed are applied in real-life applications including navigation of smart wheel chairs and intelligent surveillance. Written in a consistent, easily approachable style, the book includes in-depth discussions of a broad range of topics. It provides the tools required to formalize human behaviors into algorithmic, machine-coded strategies.

Transfer of Learning

Transfer of Learning
Author: Stephen M. Cormier
Publisher: Academic Press
Total Pages: 302
Release: 2014-06-28
Genre: Psychology
ISBN: 1483297373

Since the mid-1970s, scientific and educational research has left a gap in the field of basic and applied research on transfer of learning. This book fills the gap with state-of-the-art information on recent research in the field, emphasizing methodological paradigms and interpretive concepts based on contemporary cognitive/information processing approaches to the study of human behavior. Issues discussed include how transfer is measured, how its direction and magnitude are determined, how training for transfer differs from training for acquisition, and whether different principles of transfer apply to motor, cognitive, and meta-cognitive processes.

Science And Human Behavior

Science And Human Behavior
Author: B.F Skinner
Publisher: Simon and Schuster
Total Pages: 484
Release: 2012-12-18
Genre: Psychology
ISBN: 1476716153

The psychology classic—a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled—from one of the most influential behaviorists of the twentieth century and the author of Walden Two. “This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book.” —Samuel M. Strong, The American Journal of Sociology “This is a remarkable book—remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior…It ought to be…valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity.” —Harry Prosch, Ethics

How People Learn

How People Learn
Author: National Research Council
Publisher: National Academies Press
Total Pages: 386
Release: 2000-08-11
Genre: Education
ISBN: 0309131979

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

Categories of Human Learning

Categories of Human Learning
Author: Arthur W. Melton
Publisher: Academic Press
Total Pages: 373
Release: 2014-05-12
Genre: Psychology
ISBN: 1483258378

Categories of Human Learning covers the papers presented at the Symposium on the Psychology of Human Learning, held at the University of Michigan, Ann Arbor on January 31 and February 1, 1962. The book focuses on the different classifications of human learning. The selection first offers information on classical and operant conditioning and the categories of learning and the problem of definition. Discussions focus on classical and instrumental conditioning and the nature of reinforcement; comparability of the forms of human learning; conditioning experiments with human subjects; and subclasses of classical and instrumental conditioning. The text then takes a look at the representativeness of rote verbal learning and centrality of verbal learning. The publication ponders on probability learning, evaluation of stimulus sampling theory, and short-term memory and incidental learning. Topics include short-term retention, stimulus variation experiments, reinforcement schedules and mean response, systematic interpretations, and methodological approaches. The book then examines the behavioral effects of instruction to learning, verbalizations and concepts, and the generality of research on transfer functions. The selection is highly recommended for psychologists and educators wanting to conduct studies on the categories of human learning.

Activity Learning

Activity Learning
Author: Diane J. Cook
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2015-02-06
Genre: Technology & Engineering
ISBN: 1119010233

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behavior-based sensor data Recognizing occurrences of predefined or discovered activities in real time Predicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use. With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.