Automated Repair of Process Models with Non-local Constraints Using State-Based Region Theory

State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies between events. Whenever the input behaviour is not free-choice, these methods fail to provide a precise model. In this paper, we propose a novel approach for enhancing free-choice process models by adding non-free-choice constructs discovered a-posteriori via region-based techniques. This allows us to benefit from the performance of existing process discovery methods and the accuracy of the employed fundamental synthesis techniques. We prove that the proposed approach preserves fitness with respect to the event log while improving the precision when indirect dependencies exist. The approach has been implemented and tested on both synthetic and real-life datasets. The results show its effectiveness in repairing models discovered from event logs.

Investigating Ivy

This qualitative study examined how race and class shaped the college choice process and collegiate experiences of Black undergraduates attending Ivy League Institutions. Findings revealed that although social class did not play a significant role in participants’ college choice process, robust financial aid packaging significantly impacted their decision to attend a highly selective university. Racial identity was largely viewed by participants as a vehicle to admit more Black Immigrant students than Black Native students in order to achieve institutional diversity/affirmative action goals. Prevalent racialized incidents and institutional racism shaped participants’ collegiate experiences. The findings of this study are expected to have implications for minority recruitment, college choice, access and equity, as well as higher education diversity initiatives.

On Rational Choice and the Representation of Decision Problems

In economic theory, an agent chooses from available alternatives—modeled as a set. In decisions in the field or in the lab, however, agents do not have access to the set of alternatives at once. Instead, alternatives are represented by the outside world in a structured way. Online search results are lists of items, wine menus are often lists of lists (grouped by type or country), and online shopping often involves filtering items which can be viewed as navigating a tree. Representations constrain how an agent can choose. At the same time, an agent can also leverage representations when choosing, simplifying their choice process. For instance, in the case of a list he or she can use the order in which alternatives are represented to make their choice. In this paper, we model representations and decision procedures operating on them. We show that choice procedures are related to classical choice functions by a canonical mapping. Using this mapping, we can ask whether properties of choice functions can be lifted onto the choice procedures which induce them. We focus on the obvious benchmark: rational choice. We fully characterize choice procedures which can be rationalized by a strict preference relation for general representations including lists, list of lists, trees and others. Our framework can thereby be used as the basis for new tests of rational behavior. Classical choice theory operates on very limited information, typically budgets or menus and final choices. This is in stark contrast to the vast amount of data that specifically web companies collect about their users’ choice process. Our framework offers a way to integrate such data into economic choice models.

Can longer gaze duration determine risky investment decisions? An interactive perspective

Can longer gaze duration determine risky investment decisions? Recent studies have tested how gaze influences people’s decisions and the boundary of the gaze effect. The current experiment used adaptive gaze-contingent manipulation by adding a self-determined option to test whether longer gaze duration can determine risky investment decisions. The results showed that both the expected value of each option and the gaze duration influenced people’s decisions. This result was consistent with the attentional diffusion model (aDDM) proposed by Krajbich et al. (2010), which suggests that gaze can influence the choice process by amplify the value of the choice. Therefore, the gaze duration would influence the decision when people do not have clear preference.The result also showed that the similarity between options and the computational difficulty would also influence the gaze effect. This result was inconsistent with prior research that used option similarities to represent difficulty, suggesting that both similarity between options and computational difficulty induce different underlying mechanisms of decision difficulty.

The Meaning of Eating for Community-Dwelling Oldest Old who Live Alone: A Qualitative Study

Objective: Eating is essential in any stage of life, but it is influenced by an array of factors that affect our choice process. Regarding the elderly that live alone, eating can be affected by the decline in the functional capacity and behaviors acquired because they live alone. Therefore, the objective of this study was to know the meaning of eating to oldest-old people who live alone as well as their characteristics.

Transient Value Refinements during Deliberation Facilitate Choice

After deciding among options, decision makers exhibit an increased positive evaluation of the chosen option coupled with a decreased evaluation for those rejected, resulting in a spreading of alternatives (SoA). There has been a longstanding debate as whether SoA results from post-choice dissonance reduction, or whether it plays an instrumental role in reaching a decision. Here we introduce a novel procedure that measures SoA implicitly during the process of choice. Participants provided simultaneous value ratings for the options on offer on each trial before finalizing their choice. The results clearly demonstrate that SoA occurs before choices are finalized. Furthermore, SoA is instrumental to the choice process: it enhances choice consistency and confidence and reduces response time. The SoA generated during choice is transient in nature, partially regressing toward baseline shortly afterwards.