BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.4// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:ÌÇÐÄÔ­´´ BEGIN:VTIMEZONE TZID:America/New_York BEGIN:STANDARD DTSTART:20171105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20180311T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.281796.field_event_date.0@www.wright.edu DTSTAMP:20260219T182638Z CREATED:20180118T201434Z DESCRIPTION:A Race Model for Multiple Stopping Rules in Decision Making\n  \nMario Fific\, Grand Valley State University\nA parallel race model is pr oposed for human stopping behavior in decision making. The model is called the Cast-Net as it selects a stopping rule by randomly drawing from a par ameter space spanned by a range of possible stopping rule values. It is hy pothesized that a decision maker controls the span of the parameter space. The model synthesizes the three major stopping rules (critical difference \, runs\, fixed-sample size)\, the sequential sampling\, the variable thre shold approach\, and the parallel processing structure. The model was test ed using a deferred decision task in the context of a shopping situation. Subjects are asked to open an optional number of either positive or negati ve recommendations about the quality of products\, and to make the best bu ying decision. The results indicated that the Cast-Net model provides reas onable theoretical grounds of how different simple stopping rules can be c ombined within one decision making model.\n\n  \nDr. Fific is an associate professor at Grand Valley State University\, Michigan. He has formal docto ral and postdoctoral training in quantitative methods\, with an emphasis o n mental process tracing and mental system analysis. His areas of expertis e are in the fields of memory\, visual search\, classification\, face reco gnition\, attention\, and judgment and decision making. He uses evidence a ccumulation models and joint analysis of reaction time (RT) distributions and choice preferences. His achievements so far include the development of the original cognitive decision-making model that synthesizes mental-arch itecture\, random-walk\, and decision-bound approaches for predicting perc eptual classification RTs and choice probabilities (Fific et al.\, 2010). He spent three years as a research scientist at the Max Planck Institute f or Human Development\, Center for Adaptive Behavior and Cognition in Berli n\, Germany\, collaborating with Gerd Gigerenzer. His work at the Max Plan ck focused on creating and developing computational models of boundedly ra tional approaches to decision making\, promoting fast and frugal decision making. Dr. Fific was awarded with the research grant in the domain of dec ision making ('Stopping Rule Selection Theory\, 2012-2016). Dr. Fific is s till actively running the granted project. DTSTART;TZID=America/New_York:20180202T121500 DTEND;TZID=America/New_York:20180202T131500 LAST-MODIFIED:20180201T150855Z LOCATION:Fawcett 339A SUMMARY:Psychology Brown Bag: Dr. Mario Fific : A Race Model for Multiple S topping Rules in Decision Making. URL;TYPE=URI:/events/psychology-brown-bag-dr-mario-fi fic-race-model-multiple-stopping-rules-decision-making END:VEVENT END:VCALENDAR