Boolean games offer a compact alternative to normal-form games, by encoding the goal of each agent as a propositional formula. In this paper, we show how this framework can be naturally extended to model situations in which agents are uncertain about other agents’ goals. We first use uncertainty measures from possibility theory to semantically define (solution concepts to) Boolean games with in...

Real options modeling, which extends the ability of option pricing models to evaluate real assets, can be used to evaluate risky projects because of its capacity to handle uncertainties. This research utilizes possibility theory to represent private risks of a project, which are not reflected in the market and hence are not fully evaluated by standard option pricing models. Using a transformati...

| The introduction of a notion of independence in possibility theory is a problem of long-standing interest. The deenitions that have up to now been given in the literature face some diiculties as far as interpretation is concerned. Also, there are inconsistencies between the deenition of independence of measurable sets and possibilistic variables. After a discussion of these deenitions and the...

In this article we propose that there are two universal properties for phonological stop assibilations, namely (i) assibilations cannot be triggered by /i/ unless they are also triggered by /j/, and (ii) voiced stops cannot undergo assibilations unless voiceless ones do. The article presents typological evidence from assibilations in over 30 languages supporting both (i) and (ii). It is argued ...

Invariantism proposed by [Braun, 2013] aims to maintain full identity of semantic content between all uses of ‘might’. I invoke well-known facts regarding diachronic change in meanings of modals to argue that invariantism commits us to implausible duplication of familiar processes of lexical semantic change on the level of “lexical pragmatics”, with no obvious payoff. [Braun, 2013] proposes an ...

A small number of the logically possible word order configurations account for a large proportion of actual human languages. To explain this distribution, typologists often invoke principles of human cognition which might make certain orders easier or harder to learn or use. We present a novel method for carrying out very large scale artificial language learning tasks over the internet, which a...

P(Z) logic offers a new way to reason about vagueness (ie fuzziness), that treats fuzziness as degrees, distinct from probabilities. One then applies probability distributions over fuzziness. This approach is different from both classical fuzzy logic [26] and possibility theory [1]. P(Z) logic is specially designed for common-sense reasoning.

In order to closely adapt what they produce to what will be sold, it is mandatory for nowadays companies to make early decisions on the base of an uncertain production planning. We suggest a way to explicitly model the uncertainty and imprecision of the demand using possibility theory, all along the MRPII steps: Material Requirement Planning, Load Planning, Scheduling. Though propagation of thi...

The problem of measuring scientific impact is considered. A class of so-called p-sphere indices, which generalize the well known Hirsch index, is used to construct a possibility measure of scientific impact. This measure might be treated as a starting point for prediction of future index values or for dealing with right-censored bibliometric data. Keywords— Hirsch’s h-index, p-sphere indices, s...

This paper proposes a new Information Retrieval Model based on possibility and necessity measures. This model encodes relationship dependencies existing between terms, documents and query by possibilistic networks. The user’s query triggers a propagation process to retrieve necessarily or at least possibly relevant documents.