ln this paper, we describe an approach to planning sensing slralegies dynamically, based on the system’s current best information about the world. Our approach is for the system to automatically propose a sensing operation, and then to determine the maximum ambiguity which might remain in the world description if that sensing operation were applied. The system then applies that sensing operatio...

We present the concept of nocuous ambiguity, which occurs when text is interpreted differently by different readers. In contrast, text exhibits innocuous ambiguity if different readers interpret it in the same way, even though structural or semantic analyses suggest that multiple interpretations may be possible. We collect multiple human judgements of a set of English phrases obtained from requ...

We analyze a market populated by expected utility maximizers and smooth ambiguity-averse consumers. We study conditions under which ambiguity-averse consumers survive and affect prices in the limit. If ambiguity vanishes with time or if the economy exhibits no aggregate risk, ambiguity-averse consumers survive, but have no long-run impact on prices. In both scenarios, ambiguity-averse consumers...

We characterize in the Anscombe Aumann framework the preferences for which there are a utility function u on outcomes and an ambiguity index c on the set of probabilities on the states of the world such that, for all acts f and g, f % g , min p Z u (f) dp+ c (p) min p Z u (g) dp+ c (p) : The function u represents the decision maker’s risk attitudes, while the index c captures his ambiguity atti...

In the classic Anscombe and Aumann decision setting, we give necessary and sufficient conditions that guarantee the existence of a utility function u on outcomes and an ambiguity index c on the set of all probabilities on the states of the world such that, for all acts f and g, f % g ⇔ min p (∫ u (f) dp+ c (p) ) ≥ min p (∫ u (g) dp+ c (p) ) . The function u represents the decision maker’s risk ...

This paper analyzes the impact of corporate green technological innovation which is based on internal and external environmental factors, using hierarchical clustering approach to building a multi-index system. Evaluation index system for the various environmental factors inherent in the ambiguity, the use of rough set theory set a new business model for green technology innovation and environm...

I explore some of the issues that arise when trying to establish a connection between the underspecification hypothesis pursued in the NLP literature and work on ambiguity in semantics and in the psychological literature. A theory of underspecification is developed ‘from the first principles’, i.e., starting from a definition of what it means for a sentence to be semantically ambiguous and from...