Choice by iterative search
نویسندگان
چکیده
When making choices, decision makers often either lack information about alternatives or lack the cognitive capacity to analyze every alternative. To capture these situations, we formulate a framework to study behavioral search by utilizing the idea of consideration sets. Consumers engage in a dynamic search process. At each stage, they consider only those options in the current consideration set. We provide behavioral postulates characterizing this model. We illustrate how one can identify both search paths and preferences. JEL Classification: D11, D81.
منابع مشابه
Bilateral Teleoperation Systems Using Backtracking Search optimization Algorithm Based Iterative Learning Control
This paper deals with the application of Iterative Learning Control (ILC) to further improve the performance of teleoperation systems based on Smith predictor. The goal is to achieve robust stability and optimal transparency for these systems. The proposed control structure make the slave manipulator follow the master in spite of uncertainties in time delay in communication channel and model pa...
متن کاملINTRODUCTION AND DEVELOPMENT OF SURROGATE MANAGEMENT FRAMEWORK FOR SOLVING OPTIMIZATION PROBLEMS
In this paper, we have outlined the surrogate management framework for optimization of expensive functions. An initial simple iterative method which we call the “Strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. These ideas are made rigorous by incorporating them into the framework of pattern search methods. The SMF al...
متن کاملMultiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization
A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...
متن کاملChoice by Iterative Elimination
Motivated by real life decision problems, we model a boundedly rational choice procedure, called choice by iterative elimination, where an alternative might not be compared by all available alternatives. Our decision maker continues her limited search until she finds an alternative which is optimal within its consideration set. We study properties of this procure and provide a full characteriza...
متن کاملتعدیل کننده های نظریه اضافه بار انتخاب در موتور جستجوی گوگل در میان دانشجویان برپایه تیپ های شخصیتی بیشینه خواهی و بسنده خواهی
Nowadays, analyzing user behavior on search engines is highly regarded. Lots of options in retrieved results in the search engines, makes users to choose. Once the selection is extremely complex, people will think the simplest decision rule, they decided that not to decide and select. Psychologists know this situation the consequence of "choice overload". Bons (2008) believes that choice overlo...
متن کاملIdentifying Ferdowsi University of Mashhad Graduated Students' Search Strategies during their Information-searching through the Web
Purpose: the aim was to identify users' search strategies and the rate of using search strategies on the web. Method: It is a practical survey. The statistical population included all the postgraduate students in the first semester at Ferdowsi University of Mashhad. 95 students were selected by stratified random sampling method. To gather the data, log files were used. Findings: 12 search strat...
متن کامل