Fusing probabilistic information is a fundamental task in signal and data processing with
relevance to many fields of technology and science. In this work, we investigate the fusion of …

This chapter explores the topic of imprecise probabilities (IP) as it relates to model
validation. IP is a family of formal methods that aim to provide a better representation of …

Social choice theory is the study of collective decision procedures and mechanisms. It is not
a single theory, but a cluster of models and results concerning the aggregation of individual …

After an introductory section, this article will focus on four questions: How should the Kyoto
School be defined? What is meant by its central philosophical concept of “absolute …

Two compelling principles, the Reasonable Range Principle and the Preservation of
Irrelevant Evidence Principle, are necessary conditions that any response to peer …

For two ideally rational agents, does learning a finite amount of shared evidence necessitate
agreement? No. But does it at least guard against belief polarization, the case in which their …

Hyperintensionality and Normativity Page 1 Federico LGFaroldi Hyperintensionality and
Normativity Page 2 Hyperintensionality and Normativity Page 3 Federico LG Faroldi …

There has been considerable puzzlement over how to respond to higher‐order evidence.
The existing dilemmas can be defused by adopting a 'two‐dimensional'representation of …

This book provides a frequentist semantics for conditionalization on partially known events,
which is given as a straightforward generalization of classical conditional probability via so …

This paper considers the issue of aggregation of experts' opinions expressed through not
necessarily independent and even conflicting probability distributions or multiple priors. The …