&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

We axiomatically characterise a class of updating rules in the contexts of: (a) consumer's equilibrium; and (b) random choice by a decision maker. The updating rule captures the effect of absence of a product on the expenditure-share function in (a) and the effect of removal of an alternative on the choice probabilities of the remaining alternatives in (b). The class of updating rules, called hemi-Bayesian random choice rule can be described as follows: the expenditure-share or the probability-weight of the alternative that is removed is distributed proportionately to the alternatives belonging to its lower contour set according to some linear order. We show that this class of rules is the same as random consideration set rule as in Manzini and Mariotti (2014). © 2020 Elsevier B.V.