
This book explores graded expressions of modality, a rich and underexplored source of insight into modal semantics. Studies on modal language to date have largely focussed on a small and non-representative subset of expressions, namely modal auxiliaries such as must, might, and ought. Here, Daniel Lassiter argues that we should expand the conversation to include gradable modals such as more likely than, quite possible, and very good. He provides an introduction to qualitative and degree semantics for graded meaning, using the Representational Theory of Measurement to expose the complementarity between these apparently opposed perspectives on gradation. The volume explores and expands the typology of scales among English adjectives and uses the result to shed light on the meanings of a variety of epistemic and deontic modals. It also demonstrates that modality is deeply intertwined with probability and expected value, connecting modal semantics with the cognitive science of uncertainty and choice.
How can the semantic analysis of graded modal expressions be reconciled with qualitative and quantitative frameworks to provide a unified theory of uncertainty and choice? Daniel Lassiter, a researcher in linguistics and cognitive science, utilizes the Representational Theory of Measurement to bridge the gap between traditional modal logic and degree-based semantic models. The book argues that by expanding the study of modality beyond auxiliary verbs to include gradable adjectives and adverbs, one can better map the cognitive structures underlying human judgment under uncertainty.
What You Will Find
Scope Limits
Experts in formal semantics recognize this work as a significant contribution to the study of gradable meaning and its intersection with probability. Readers frequently note the high level of technical density, making it a specialized resource for advanced students and researchers in linguistics.
Page Count:
300
Publication Date:
2017-01-01
Publisher:
OUP Oxford
ISBN-10:
0191005045
ISBN-13:
9780191005046
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