Judgment Aggregation A Primer
| Author/creator | Grossi, Davide Author |
| Other author | Pigozzi, Gabriella Author |
| Format | Electronic |
| Publication Info | San Rafael : Morgan & Claypool Publishers |
| Description | 151 p. |
| Supplemental Content | Full text available from Computer & Information Science Collection Six |
| Series | Synthesis Lectures on Artificial Intelligence and Machine Learning Ser. |
| Summary | Annotation Judgment aggregation is a mathematical theory of collective decision-making. It concerns the methods whereby individual opinions about logically interconnected issues of interest can, or cannot, be aggregated into one collective stance. Aggregation problems have traditionally been of interest for disciplines like economics and the political sciences, as well as philosophy, where judgment aggregation itself originates from, but have recently captured the attention of disciplines like computer science, artificial intelligence and multi-agent systems. Judgment aggregation has emerged in the last decade as a unifying paradigm for the formalization and understanding of aggregation problems. Still, no comprehensive presentation of the theory is available to date. This Synthesis Lecture aims at filling this gap presenting the key motivations, results, abstractions and techniques underpinning it. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781627050876 |
| ISBN | 1627050876 (Trade Paper) Active Record |
| Stock number | 01307586 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |