BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook 14.0 MIMEDIR//EN
VERSION:2.0
METHOD:PUBLISH
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VTIMEZONE
TZID:Eastern Standard Time
BEGIN:STANDARD
DTSTART:16011104T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:16010311T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
CLASS:PUBLIC
CREATED:20150406T184820Z
DESCRIPTION:A theoretical distinction has emerged in the past decade regard
ing how decisions are made from description (explicit definition of risks\
, outcomes\, probabilities) or experience (implicit collection of past out
comes and probabilities). Explanations of choice under descriptive informa
tion often rely on Prospect Theory\, while experiential choice has been pl
agued by highly task-specific models that often predict choice in particul
ar tasks but fail to explain behavior even in closely related tasks. Furth
ermore\, in social interactions the information about others (preferences\
, beliefs\, degree of interdependence) may also influence their interactio
ns and choice\, but narrow self-interest and complete information is a com
mon assumption in empirical game theory paradigms\, limiting our understan
ding of the types of uncertainty that people face in real-world social int
eractions\, especially when cooperation is welfare enhancing.\n\nThe goal
of this workshop is to bring recent research that crosses the borders of t
raditional descriptive or experiential approaches and attempts to address
decision making where many levels of information are available.\n\nSee htt
p://www.hss.cmu.edu/departments/sds/ddmlab/workshop2015/ for full schedule
of events.\n
DTEND;TZID="Eastern Standard Time":20150421T170000
DTSTAMP:20150406T184820Z
DTSTART;TZID="Eastern Standard Time":20150421T083000
LAST-MODIFIED:20150406T184820Z
LOCATION:Porter Hall 223-D\, Â鶹´å\, Pittsburgh\, PA
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=en-us:Information and Decisions: Decisions from Descriptio
n and Experience Come Together in Individual and Social Interactions (Work
shop)
TRANSP:OPAQUE
UID:040000008200E00074C5B7101A82E0080000000020008A957870D001000000000000000
010000000BC2C2E886518544D982620DD74618570
X-ALT-DESC;FMTTYPE=text/html:\n\n\n\n\n
\n\n\n\nA theoretical distinction has emerged in the past decade regarding how
decisions are made from description (explicit definition of risks\, outco
mes\, probabilities) or experience (implicit collection of past outcomes a
nd probabilities). Explanations of choice under descriptive information of
ten rely on Prospect Theory\, while experiential choice has been plagued b
y highly task-specific models that often predict choice in particular task
s but fail to explain behavior even in closely related tasks. Furthermore\
, in social interactions the information about others (preferences\, belie
fs\, degree of interdependence) may also influence their interactions and
choice\, but narrow self-interest and complete information is a common ass
umption in empirical game theory paradigms\, limiting our understanding of
the types of uncertainty that people face in real-world social interactio
ns\, especially when cooperation is welfare enhancing.
\n
\nThe goal of this work
shop is to bring recent research that crosses the borders of traditional d
escriptive or experiential approaches and attempts to address decision mak
ing where many levels of information are available.
\n\n<
P DIR=LTR>See for full schedule of events.\n
\n\n
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
X-MICROSOFT-CDO-IMPORTANCE:1
X-MICROSOFT-DISALLOW-COUNTER:FALSE
X-MS-OLK-AUTOFILLLOCATION:FALSE
X-MS-OLK-CONFTYPE:0
BEGIN:VALARM
TRIGGER:-PT15M
ACTION:DISPLAY
DESCRIPTION:Reminder
END:VALARM
END:VEVENT
END:VCALENDAR