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Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
This volume is the fruit of the 5th conference on Naturalistic
Decision Making which focused on the importance of studying people
who have some degree of expertise in the domain in which they make
decisions. The substantive concerns pertain to how individuals and
groups make decisions in professional and organizational settings,
and to develop suitable methods for studying these questions
rigorously.
This volume appeals to practitioners in business and government,
as well as academics and students who are interested in
naturalistic decision making.
Research on human judgment and decision making has been strongly
guided by a normative/descriptive approach, according to which
human decision making is compared to the normative models provided
by decision theory, statistics, and the probability calculus. A
common empirical finding has been that human behavior deviates from
the prescriptions by normative models--that judgments and decisions
are subject to cognitive biases. It is interesting to note that
Swedish research on judgment and decision making made an early
departure from this dominating mainstream tradition, albeit in two
different ways. The Neo-Brunswikian research highlights the
relationship between the laboratory task and the adaptation to a
natural environment. The process-tracing approach attempts to
identify the cognitive processes before, during, and after a
decision. This volume summarizes current Swedish research on
judgment and decision making, covering topics, such as dynamic
decision making, confidence research, the search for dominance
structures and differentiation, and social decision making.
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