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Group Decision and Negotiation: A Multidisciplinary Perspective

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Cover of 'Group Decision and Negotiation: A Multidisciplinary Perspective'

Table of Contents

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    Book Overview
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    Chapter 1 Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute
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    Chapter 2 A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences
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    Chapter 3 Analysis of Disputed Territories in the Barents Sea
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    Chapter 4 A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution
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    Chapter 5 Alternatives vs. Time – Measuring the Force of Distinct Sources of Bargaining Power
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    Chapter 6 Influence Across Agents and Issues in Combinatorial and Collective Decision-Making
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    Chapter 7 A Characterization for Procedural Choice Based on Dichotomous Preferences Over Criteria
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    Chapter 8 Influence Among Preferences and Its Transformation to Behaviors in Groups
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    Chapter 9 Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model
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    Chapter 10 PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value
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    Chapter 11 Inferring Personality Types for Better Automated Negotiation
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    Chapter 12 Decision Rule Aggregation Approach to Support Group Decision Making
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    Chapter 13 An Ontology for Collaborative Decision Making
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    Chapter 14 Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System
Attention for Chapter 10: PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value
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Chapter title
PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value
Chapter number 10
Book title
Group Decision and Negotiation: A Multidisciplinary Perspective
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-48641-9_10
Book ISBNs
978-3-03-048640-2, 978-3-03-048641-9
Authors

Aditya Srinivas Gear, Kritika Prakash, Nonidh Singh, Praveen Paruchuri, Gear, Aditya Srinivas, Prakash, Kritika, Singh, Nonidh, Paruchuri, Praveen

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Librarian 1 20%
Lecturer 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Nursing and Health Professions 1 20%
Unknown 1 20%