In sequential interactions, both the agent’s intention and outcome of his choice may influence principal’s action. While outcomes are typically observable, intentions more likely to be hidden, leaving potential wiggle room for principal when deciding on a reciprocating We employ controlled experiment investigate how affect actions whether principals use hidden information as an excuse behave se...

This paper constructs a recursive utility version of a canonical Merton (1971) model with uninsurable labor income and unknown income growth to study how the interaction between two types of uncertainty due to ignorance affects strategic consumption-portfolio rules and precautionary savings. Specifically, after solving the model explicitly, we theoretically and quantitatively explore (i) how th...

In the present article we use the quantum formalism to describe the process of choice under rational ignorance. We consider as a basic task a question or an issue where the only answers are 0 and 1. We show that under rational ignorance the opinion state of a person can be described as a qubit state. We analyze the predictions that the quantum formalism give in the study of rational ignorance. ...

Classifiers that aim at doing credible predictions should rely on carefully elicited prior knowledge. Often this is not available so they should start learning from data in condition of near-ignorance. This paper shows empirically, on an agricultural data set, that established methods of classification do not always adhere to this principle. Traditional ways to represent prior ignorance are sho...

From the perspective of The University of Arizona's innovative Curriculum on Medical (and Other) Ignorance focusing on "what we know we don't know, don't know we don't know, and think we know but don't," the shifting terrain of information-knowledge-ignorance of AIDS (a disorder involving, to various incompletely understood degrees, the four components of the lymphatic system-lymph, lymphatics,...

Purpose: The purpose of this paper is to identify individual variables with an impact on knowledge sharing and explore the under-discussed construct of employees’ ignorance. This can enhance the knowledge sharing process and facilitate the development of greater intellectual capital. Design/methodology/approach: Eighty-four dependent variables affecting knowledge sharing are analyzed and classi...

The epistemic state of complete ignorance is not a probability distribution. In it, we assign the same, unique, ignorance degree of belief to any contingent outcome and each of its contingent, disjunctive parts. That this is the appropriate way to represent complete ignorance is established by two instruments, each individually strong enough to identify this state. They are the principle of ind...

Classifiers that aim at doing reliable predictions should rely on carefully elicited prior knowledge. Often this is not available so they should be able to start learning from data in condition of prior ignorance. This paper shows empirically, on an agricultural data set, that established methods of classification do not always adhere to this principle. Common ways to represent prior ignorance ...