Group Decision and Negotiation: 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2020
|
| Series: | Lecture Notes in Business Information Processing Ser.
v.388 |
| Subjects: | |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (212 pages) |
| ISBN: | 9783030486419 |
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| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Conflict Resolution -- Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute -- Abstract -- 1 Introduction -- 2 Graph Model -- 2.1 Graph Model with Simple Preference -- 2.2 Graph Model with Multiple Objectives -- 3 Application: US-China Trade Dispute -- 3.1 Background of US-China Trade Dispute -- 3.2 Multi-objective Graph Model of US-China Trade Dispute -- 4 Multi-objective Graph Model with Interval Preference Weights -- 5 US-China Trade Dispute with Interval Preference -- 6 Conclusion -- References -- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences -- Abstract -- 1 Introduction -- 2 Composition of Probabilistic Preferences (CPP) -- 3 Conflict Resolution Model Based on Composition of Probabilistic Preferences (CRMCPP) -- 4 Numerical Example -- 5 Conclusion and Final Remarks -- References -- Analysis of Disputed Territories in the Barents Sea -- Abstract -- 1 Introduction -- 2 Data Description -- 3 A Model -- 3.1 Problem Statement -- 3.2 Utility Functions -- 3.3 Areas Allocation -- 4 Resolution Models -- 4.1 Allocation of Areas Regardless the Level of Interest in Areas of the Barents Sea -- 4.2 Allocation of Areas with Respect to the Level of Interest in Areas of the Barents Sea -- 4.3 Allocation of Areas to the Most Interested Country -- 5 Results -- 5.1 Fossil Fuels and Fish Resources Have the Same Importance (∝= 1) -- 5.2 Fossil Fuels Are Five Times More Important Than Fish Resources (∝ = 5) -- 5.3 Fossil Fuels Are Ten Times More Important Than Fish Resources (∝ = 10) -- 6 Conclusion -- Acknowledgements -- References -- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution -- Abstract -- 1 Introduction -- 2 Option Prioritization in GMCR. | |
| 505 | 8 | |a 3 An Option Statement Reduction Method for Option Prioritization -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Empirical Study -- 3.1 Method -- 3.2 Results -- 4 Discussion -- References -- Preference Modeling for Group Decision and Negotiation -- Influence Across Agents and Issues in Combinatorial and Collective Decision-Making -- 1 Introduction -- 2 Related Works -- 2.1 How to Address Multiple Sources of Influence Among Agents in a Cardinal Approach -- 2.2 How to Address Multiple Sources of Influence Among Agents in an Ordinal Approach -- 2.3 From Social Choice Functions to Social Influence Functions -- 3 Multiple Sources of Influence Across Agents and Issues -- 4 Weighted Influence Across Agents and Issues -- 5 One Dominant Influence Across Agents and Issues -- 6 Discussion and Conclusion -- References -- A Characterization for Procedural Choice Based on Dichotomous Preferences Over Criteria -- Abstract -- 1 Introduction -- 2 Designing a Formal Model for PCBPC -- 3 Results -- 4 Discussion -- 5 Concluding Remarks -- References -- Influence Among Preferences and Its Transformation to Behaviors in Groups -- Abstract -- 1 Introduction -- 2 Influence on Preferences Among Agents and Its Transformation to Behaviors in Multi-agent Systems -- 2.1 Transformation from Preferences to Behaviors -- 2.2 Weighted and Signed Influence Among Preferences -- 3 An Example of Influence Among Preferences and Behaviors in Groups: Fertility Intention and Behavior in Families -- 4 From Individual Intention, to Individual Behavior and to Social Evolution: A New Approach for Demography -- 5 Mathematical Model: Variables Definition and Rules Design -- 5.1 Define Variables -- 5.2 Design Rules -- 6 Computer Model | |
| 505 | 8 | |a 7 Simulation Experiments and Results -- 8 Discussion, Conclusion and Future Work -- Acknowledgements -- References -- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model -- Abstract -- 1 Manipulability Model -- 2 The Aggregation Procedures -- 3 Extended Preferences -- 4 The Scheme of Calculation -- 5 Calculation Results -- 6 Conclusion -- Acknowledgements -- References -- Intelligent Group Decision Making and Consensus Process -- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value -- 1 Introduction -- 1.1 Related Work -- 2 Static RV -- 2.1 Negotiation Model -- 2.2 Utility Generation for ONAC Algorithm -- 2.3 Utility Generation for Boulware Algorithm -- 3 Dynamic RV: The PredictRV Strategy -- 3.1 Negotiation Model -- 3.2 ONAC for Dynamic Reservation Values -- 3.3 Boulware for Dynamic Reservation Values -- 3.4 Illustrative Example -- 3.5 Steps of Strategy for PredictRV -- 3.6 Counter Learning -- 3.7 Bayesian Learning with Regression Analysis (BLRA) -- 3.8 LSTM Based Prediction -- 4 Example Continued -- 5 Experiments -- 5.1 Setup for the Experiments -- 5.2 Metrics -- 5.3 Fire Disaster Response -- 5.4 Meeting Scheduling Domain -- 5.5 Summary of the Experiments -- 6 Conclusions -- References -- Inferring Personality Types for Better Automated Negotiation -- 1 Introduction -- 2 Partially Observable Markov Decision Process Framework -- 2.1 Encoding a Negotiation Problem in the POMDP Framework -- 2.2 State Space Definition -- 2.3 Action and Observation Set -- 2.4 State Transition Function -- 2.5 Observation Function -- 2.6 Reward Function -- 2.7 Discount Factor -- 3 Input Generation for the POMDP Model -- 4 Evaluation of the POMDP Agent -- 4.1 Sanity Check Experiment -- 4.2 Reward Function Evaluation -- 4.3 Effect of Opponent Type Misclassification in Input Transcripts | |
| 505 | 8 | |a 5 Experiment Results -- 5.1 Generation of Negotiation Data -- 5.2 Opponent Personality Type Prediction -- 6 Conclusions -- References -- Decision Rule Aggregation Approach to Support Group Decision Making -- 1 Introduction -- 2 Background -- 2.1 Notations and Basic Assumptions -- 2.2 Rough Approximation -- 2.3 Decision Rules -- 3 Decision Rules Matching and Overlapping -- 3.1 Basic Definitions -- 3.2 Conditions Matching -- 3.3 Decision Rules Matching -- 3.4 Overlapping Decision Rules -- 4 Decision Rules Aggregation -- 4.1 Step 1: Transformation of Overlapping Decision Rules -- 4.2 Step 2: Elimination of Redundant Decision Rules -- 5 Application -- 6 Conclusion -- References -- Collaborative Decision Making Processes -- An Ontology for Collaborative Decision Making -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Collaborative Decision Making Process -- 2.2 Ontology Definition -- 2.3 Types of Ontologies -- 2.4 Ontology Engineering -- 2.5 Collaboration Engineering -- 3 Developing an Ontology for Collaborative Decision Making -- 3.1 Our Ontology Building -- 3.2 An Ontology for Collaborative Decision Making -- 4 Conclusion -- References -- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System -- 1 Introduction -- 2 Functionality of the Decidio Pilot Implementation -- 3 User Study -- 3.1 QUEST Workflow -- 3.2 User Activity Logs -- 4 Results -- 4.1 Tool Evaluation Survey -- 4.2 User Activity Logs -- 4.3 Personality Survey -- 5 Discussion -- 5.1 Observations Based on User Personalities -- 5.2 Limitations -- 5.3 Future Vision -- 6 Conclusion -- A Appendix -- A.1 Tool Evaluation Survey -- References -- Author Index | |
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| author | Morais, Danielle Costa |
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| contents | Intro -- Preface -- Organization -- Contents -- Conflict Resolution -- Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute -- Abstract -- 1 Introduction -- 2 Graph Model -- 2.1 Graph Model with Simple Preference -- 2.2 Graph Model with Multiple Objectives -- 3 Application: US-China Trade Dispute -- 3.1 Background of US-China Trade Dispute -- 3.2 Multi-objective Graph Model of US-China Trade Dispute -- 4 Multi-objective Graph Model with Interval Preference Weights -- 5 US-China Trade Dispute with Interval Preference -- 6 Conclusion -- References -- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences -- Abstract -- 1 Introduction -- 2 Composition of Probabilistic Preferences (CPP) -- 3 Conflict Resolution Model Based on Composition of Probabilistic Preferences (CRMCPP) -- 4 Numerical Example -- 5 Conclusion and Final Remarks -- References -- Analysis of Disputed Territories in the Barents Sea -- Abstract -- 1 Introduction -- 2 Data Description -- 3 A Model -- 3.1 Problem Statement -- 3.2 Utility Functions -- 3.3 Areas Allocation -- 4 Resolution Models -- 4.1 Allocation of Areas Regardless the Level of Interest in Areas of the Barents Sea -- 4.2 Allocation of Areas with Respect to the Level of Interest in Areas of the Barents Sea -- 4.3 Allocation of Areas to the Most Interested Country -- 5 Results -- 5.1 Fossil Fuels and Fish Resources Have the Same Importance (∝= 1) -- 5.2 Fossil Fuels Are Five Times More Important Than Fish Resources (∝ = 5) -- 5.3 Fossil Fuels Are Ten Times More Important Than Fish Resources (∝ = 10) -- 6 Conclusion -- Acknowledgements -- References -- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution -- Abstract -- 1 Introduction -- 2 Option Prioritization in GMCR. 3 An Option Statement Reduction Method for Option Prioritization -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Empirical Study -- 3.1 Method -- 3.2 Results -- 4 Discussion -- References -- Preference Modeling for Group Decision and Negotiation -- Influence Across Agents and Issues in Combinatorial and Collective Decision-Making -- 1 Introduction -- 2 Related Works -- 2.1 How to Address Multiple Sources of Influence Among Agents in a Cardinal Approach -- 2.2 How to Address Multiple Sources of Influence Among Agents in an Ordinal Approach -- 2.3 From Social Choice Functions to Social Influence Functions -- 3 Multiple Sources of Influence Across Agents and Issues -- 4 Weighted Influence Across Agents and Issues -- 5 One Dominant Influence Across Agents and Issues -- 6 Discussion and Conclusion -- References -- A Characterization for Procedural Choice Based on Dichotomous Preferences Over Criteria -- Abstract -- 1 Introduction -- 2 Designing a Formal Model for PCBPC -- 3 Results -- 4 Discussion -- 5 Concluding Remarks -- References -- Influence Among Preferences and Its Transformation to Behaviors in Groups -- Abstract -- 1 Introduction -- 2 Influence on Preferences Among Agents and Its Transformation to Behaviors in Multi-agent Systems -- 2.1 Transformation from Preferences to Behaviors -- 2.2 Weighted and Signed Influence Among Preferences -- 3 An Example of Influence Among Preferences and Behaviors in Groups: Fertility Intention and Behavior in Families -- 4 From Individual Intention, to Individual Behavior and to Social Evolution: A New Approach for Demography -- 5 Mathematical Model: Variables Definition and Rules Design -- 5.1 Define Variables -- 5.2 Design Rules -- 6 Computer Model 7 Simulation Experiments and Results -- 8 Discussion, Conclusion and Future Work -- Acknowledgements -- References -- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model -- Abstract -- 1 Manipulability Model -- 2 The Aggregation Procedures -- 3 Extended Preferences -- 4 The Scheme of Calculation -- 5 Calculation Results -- 6 Conclusion -- Acknowledgements -- References -- Intelligent Group Decision Making and Consensus Process -- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value -- 1 Introduction -- 1.1 Related Work -- 2 Static RV -- 2.1 Negotiation Model -- 2.2 Utility Generation for ONAC Algorithm -- 2.3 Utility Generation for Boulware Algorithm -- 3 Dynamic RV: The PredictRV Strategy -- 3.1 Negotiation Model -- 3.2 ONAC for Dynamic Reservation Values -- 3.3 Boulware for Dynamic Reservation Values -- 3.4 Illustrative Example -- 3.5 Steps of Strategy for PredictRV -- 3.6 Counter Learning -- 3.7 Bayesian Learning with Regression Analysis (BLRA) -- 3.8 LSTM Based Prediction -- 4 Example Continued -- 5 Experiments -- 5.1 Setup for the Experiments -- 5.2 Metrics -- 5.3 Fire Disaster Response -- 5.4 Meeting Scheduling Domain -- 5.5 Summary of the Experiments -- 6 Conclusions -- References -- Inferring Personality Types for Better Automated Negotiation -- 1 Introduction -- 2 Partially Observable Markov Decision Process Framework -- 2.1 Encoding a Negotiation Problem in the POMDP Framework -- 2.2 State Space Definition -- 2.3 Action and Observation Set -- 2.4 State Transition Function -- 2.5 Observation Function -- 2.6 Reward Function -- 2.7 Discount Factor -- 3 Input Generation for the POMDP Model -- 4 Evaluation of the POMDP Agent -- 4.1 Sanity Check Experiment -- 4.2 Reward Function Evaluation -- 4.3 Effect of Opponent Type Misclassification in Input Transcripts 5 Experiment Results -- 5.1 Generation of Negotiation Data -- 5.2 Opponent Personality Type Prediction -- 6 Conclusions -- References -- Decision Rule Aggregation Approach to Support Group Decision Making -- 1 Introduction -- 2 Background -- 2.1 Notations and Basic Assumptions -- 2.2 Rough Approximation -- 2.3 Decision Rules -- 3 Decision Rules Matching and Overlapping -- 3.1 Basic Definitions -- 3.2 Conditions Matching -- 3.3 Decision Rules Matching -- 3.4 Overlapping Decision Rules -- 4 Decision Rules Aggregation -- 4.1 Step 1: Transformation of Overlapping Decision Rules -- 4.2 Step 2: Elimination of Redundant Decision Rules -- 5 Application -- 6 Conclusion -- References -- Collaborative Decision Making Processes -- An Ontology for Collaborative Decision Making -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Collaborative Decision Making Process -- 2.2 Ontology Definition -- 2.3 Types of Ontologies -- 2.4 Ontology Engineering -- 2.5 Collaboration Engineering -- 3 Developing an Ontology for Collaborative Decision Making -- 3.1 Our Ontology Building -- 3.2 An Ontology for Collaborative Decision Making -- 4 Conclusion -- References -- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System -- 1 Introduction -- 2 Functionality of the Decidio Pilot Implementation -- 3 User Study -- 3.1 QUEST Workflow -- 3.2 User Activity Logs -- 4 Results -- 4.1 Tool Evaluation Survey -- 4.2 User Activity Logs -- 4.3 Personality Survey -- 5 Discussion -- 5.1 Observations Based on User Personalities -- 5.2 Limitations -- 5.3 Future Vision -- 6 Conclusion -- A Appendix -- A.1 Tool Evaluation Survey -- References -- Author Index |
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| dewey-full | 658.4036 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
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| dewey-search | 658.4036 |
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Intro -- Preface -- Organization -- Contents -- Conflict Resolution -- Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute -- Abstract -- 1 Introduction -- 2 Graph Model -- 2.1 Graph Model with Simple Preference -- 2.2 Graph Model with Multiple Objectives -- 3 Application: US-China Trade Dispute -- 3.1 Background of US-China Trade Dispute -- 3.2 Multi-objective Graph Model of US-China Trade Dispute -- 4 Multi-objective Graph Model with Interval Preference Weights -- 5 US-China Trade Dispute with Interval Preference -- 6 Conclusion -- References -- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences -- Abstract -- 1 Introduction -- 2 Composition of Probabilistic Preferences (CPP) -- 3 Conflict Resolution Model Based on 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Introduction -- 2 Option Prioritization in GMCR.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3 An Option Statement Reduction Method for Option Prioritization -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Empirical Study -- 3.1 Method -- 3.2 Results -- 4 Discussion -- References -- Preference Modeling for Group Decision and Negotiation -- Influence Across Agents and Issues in Combinatorial and Collective Decision-Making -- 1 Introduction -- 2 Related Works -- 2.1 How to Address Multiple Sources of Influence Among Agents in a Cardinal Approach -- 2.2 How to Address Multiple Sources of Influence Among Agents in an Ordinal Approach -- 2.3 From Social Choice Functions to Social Influence Functions -- 3 Multiple Sources of Influence Across Agents and Issues -- 4 Weighted Influence Across 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| genre | (DE-588)1071861417 Konferenzschrift 2020 Online gnd-content |
| genre_facet | Konferenzschrift 2020 Online |
| id | DE-604.BV048223142 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:50:37Z |
| indexdate | 2024-07-10T09:32:27Z |
| institution | BVB |
| isbn | 9783030486419 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033603875 |
| oclc_num | 1157525230 |
| open_access_boolean | |
| physical | 1 Online-Ressource (212 pages) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Ser. |
| spelling | Morais, Danielle Costa Verfasser aut Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings Cham Springer International Publishing AG 2020 ©2020 1 Online-Ressource (212 pages) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Ser. v.388 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Conflict Resolution -- Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute -- Abstract -- 1 Introduction -- 2 Graph Model -- 2.1 Graph Model with Simple Preference -- 2.2 Graph Model with Multiple Objectives -- 3 Application: US-China Trade Dispute -- 3.1 Background of US-China Trade Dispute -- 3.2 Multi-objective Graph Model of US-China Trade Dispute -- 4 Multi-objective Graph Model with Interval Preference Weights -- 5 US-China Trade Dispute with Interval Preference -- 6 Conclusion -- References -- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences -- Abstract -- 1 Introduction -- 2 Composition of Probabilistic Preferences (CPP) -- 3 Conflict Resolution Model Based on Composition of Probabilistic Preferences (CRMCPP) -- 4 Numerical Example -- 5 Conclusion and Final Remarks -- References -- Analysis of Disputed Territories in the Barents Sea -- Abstract -- 1 Introduction -- 2 Data Description -- 3 A Model -- 3.1 Problem Statement -- 3.2 Utility Functions -- 3.3 Areas Allocation -- 4 Resolution Models -- 4.1 Allocation of Areas Regardless the Level of Interest in Areas of the Barents Sea -- 4.2 Allocation of Areas with Respect to the Level of Interest in Areas of the Barents Sea -- 4.3 Allocation of Areas to the Most Interested Country -- 5 Results -- 5.1 Fossil Fuels and Fish Resources Have the Same Importance (∝= 1) -- 5.2 Fossil Fuels Are Five Times More Important Than Fish Resources (∝ = 5) -- 5.3 Fossil Fuels Are Ten Times More Important Than Fish Resources (∝ = 10) -- 6 Conclusion -- Acknowledgements -- References -- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution -- Abstract -- 1 Introduction -- 2 Option Prioritization in GMCR. 3 An Option Statement Reduction Method for Option Prioritization -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Empirical Study -- 3.1 Method -- 3.2 Results -- 4 Discussion -- References -- Preference Modeling for Group Decision and Negotiation -- Influence Across Agents and Issues in Combinatorial and Collective Decision-Making -- 1 Introduction -- 2 Related Works -- 2.1 How to Address Multiple Sources of Influence Among Agents in a Cardinal Approach -- 2.2 How to Address Multiple Sources of Influence Among Agents in an Ordinal Approach -- 2.3 From Social Choice Functions to Social Influence Functions -- 3 Multiple Sources of Influence Across Agents and Issues -- 4 Weighted Influence Across Agents and Issues -- 5 One Dominant Influence Across Agents and Issues -- 6 Discussion and Conclusion -- References -- A Characterization for Procedural Choice Based on Dichotomous Preferences Over Criteria -- Abstract -- 1 Introduction -- 2 Designing a Formal Model for PCBPC -- 3 Results -- 4 Discussion -- 5 Concluding Remarks -- References -- Influence Among Preferences and Its Transformation to Behaviors in Groups -- Abstract -- 1 Introduction -- 2 Influence on Preferences Among Agents and Its Transformation to Behaviors in Multi-agent Systems -- 2.1 Transformation from Preferences to Behaviors -- 2.2 Weighted and Signed Influence Among Preferences -- 3 An Example of Influence Among Preferences and Behaviors in Groups: Fertility Intention and Behavior in Families -- 4 From Individual Intention, to Individual Behavior and to Social Evolution: A New Approach for Demography -- 5 Mathematical Model: Variables Definition and Rules Design -- 5.1 Define Variables -- 5.2 Design Rules -- 6 Computer Model 7 Simulation Experiments and Results -- 8 Discussion, Conclusion and Future Work -- Acknowledgements -- References -- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model -- Abstract -- 1 Manipulability Model -- 2 The Aggregation Procedures -- 3 Extended Preferences -- 4 The Scheme of Calculation -- 5 Calculation Results -- 6 Conclusion -- Acknowledgements -- References -- Intelligent Group Decision Making and Consensus Process -- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value -- 1 Introduction -- 1.1 Related Work -- 2 Static RV -- 2.1 Negotiation Model -- 2.2 Utility Generation for ONAC Algorithm -- 2.3 Utility Generation for Boulware Algorithm -- 3 Dynamic RV: The PredictRV Strategy -- 3.1 Negotiation Model -- 3.2 ONAC for Dynamic Reservation Values -- 3.3 Boulware for Dynamic Reservation Values -- 3.4 Illustrative Example -- 3.5 Steps of Strategy for PredictRV -- 3.6 Counter Learning -- 3.7 Bayesian Learning with Regression Analysis (BLRA) -- 3.8 LSTM Based Prediction -- 4 Example Continued -- 5 Experiments -- 5.1 Setup for the Experiments -- 5.2 Metrics -- 5.3 Fire Disaster Response -- 5.4 Meeting Scheduling Domain -- 5.5 Summary of the Experiments -- 6 Conclusions -- References -- Inferring Personality Types for Better Automated Negotiation -- 1 Introduction -- 2 Partially Observable Markov Decision Process Framework -- 2.1 Encoding a Negotiation Problem in the POMDP Framework -- 2.2 State Space Definition -- 2.3 Action and Observation Set -- 2.4 State Transition Function -- 2.5 Observation Function -- 2.6 Reward Function -- 2.7 Discount Factor -- 3 Input Generation for the POMDP Model -- 4 Evaluation of the POMDP Agent -- 4.1 Sanity Check Experiment -- 4.2 Reward Function Evaluation -- 4.3 Effect of Opponent Type Misclassification in Input Transcripts 5 Experiment Results -- 5.1 Generation of Negotiation Data -- 5.2 Opponent Personality Type Prediction -- 6 Conclusions -- References -- Decision Rule Aggregation Approach to Support Group Decision Making -- 1 Introduction -- 2 Background -- 2.1 Notations and Basic Assumptions -- 2.2 Rough Approximation -- 2.3 Decision Rules -- 3 Decision Rules Matching and Overlapping -- 3.1 Basic Definitions -- 3.2 Conditions Matching -- 3.3 Decision Rules Matching -- 3.4 Overlapping Decision Rules -- 4 Decision Rules Aggregation -- 4.1 Step 1: Transformation of Overlapping Decision Rules -- 4.2 Step 2: Elimination of Redundant Decision Rules -- 5 Application -- 6 Conclusion -- References -- Collaborative Decision Making Processes -- An Ontology for Collaborative Decision Making -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Collaborative Decision Making Process -- 2.2 Ontology Definition -- 2.3 Types of Ontologies -- 2.4 Ontology Engineering -- 2.5 Collaboration Engineering -- 3 Developing an Ontology for Collaborative Decision Making -- 3.1 Our Ontology Building -- 3.2 An Ontology for Collaborative Decision Making -- 4 Conclusion -- References -- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System -- 1 Introduction -- 2 Functionality of the Decidio Pilot Implementation -- 3 User Study -- 3.1 QUEST Workflow -- 3.2 User Activity Logs -- 4 Results -- 4.1 Tool Evaluation Survey -- 4.2 User Activity Logs -- 4.3 Personality Survey -- 5 Discussion -- 5.1 Observations Based on User Personalities -- 5.2 Limitations -- 5.3 Future Vision -- 6 Conclusion -- A Appendix -- A.1 Tool Evaluation Survey -- References -- Author Index Group decision making-Congresses Informationstechnik (DE-588)4026926-7 gnd rswk-swf Verhandlung (DE-588)4062875-9 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Gruppenentscheidung (DE-588)4158442-9 gnd rswk-swf Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2020 Online gnd-content Gruppenentscheidung (DE-588)4158442-9 s Verhandlung (DE-588)4062875-9 s Entscheidung bei Unsicherheit (DE-588)4070864-0 s DE-604 Anwendungssoftware (DE-588)4120906-0 s Operations Research (DE-588)4043586-6 s Informationstechnik (DE-588)4026926-7 s Fang, Liping Sonstige oth Horita, Masahide Sonstige oth Erscheint auch als Druck-Ausgabe Morais, Danielle Costa Group Decision and Negotiation: a Multidisciplinary Perspective Cham : Springer International Publishing AG,c2020 9783030486402 |
| spellingShingle | Morais, Danielle Costa Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings Intro -- Preface -- Organization -- Contents -- Conflict Resolution -- Nash Stability in a Multi-objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute -- Abstract -- 1 Introduction -- 2 Graph Model -- 2.1 Graph Model with Simple Preference -- 2.2 Graph Model with Multiple Objectives -- 3 Application: US-China Trade Dispute -- 3.1 Background of US-China Trade Dispute -- 3.2 Multi-objective Graph Model of US-China Trade Dispute -- 4 Multi-objective Graph Model with Interval Preference Weights -- 5 US-China Trade Dispute with Interval Preference -- 6 Conclusion -- References -- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences -- Abstract -- 1 Introduction -- 2 Composition of Probabilistic Preferences (CPP) -- 3 Conflict Resolution Model Based on Composition of Probabilistic Preferences (CRMCPP) -- 4 Numerical Example -- 5 Conclusion and Final Remarks -- References -- Analysis of Disputed Territories in the Barents Sea -- Abstract -- 1 Introduction -- 2 Data Description -- 3 A Model -- 3.1 Problem Statement -- 3.2 Utility Functions -- 3.3 Areas Allocation -- 4 Resolution Models -- 4.1 Allocation of Areas Regardless the Level of Interest in Areas of the Barents Sea -- 4.2 Allocation of Areas with Respect to the Level of Interest in Areas of the Barents Sea -- 4.3 Allocation of Areas to the Most Interested Country -- 5 Results -- 5.1 Fossil Fuels and Fish Resources Have the Same Importance (∝= 1) -- 5.2 Fossil Fuels Are Five Times More Important Than Fish Resources (∝ = 5) -- 5.3 Fossil Fuels Are Ten Times More Important Than Fish Resources (∝ = 10) -- 6 Conclusion -- Acknowledgements -- References -- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution -- Abstract -- 1 Introduction -- 2 Option Prioritization in GMCR. 3 An Option Statement Reduction Method for Option Prioritization -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Empirical Study -- 3.1 Method -- 3.2 Results -- 4 Discussion -- References -- Preference Modeling for Group Decision and Negotiation -- Influence Across Agents and Issues in Combinatorial and Collective Decision-Making -- 1 Introduction -- 2 Related Works -- 2.1 How to Address Multiple Sources of Influence Among Agents in a Cardinal Approach -- 2.2 How to Address Multiple Sources of Influence Among Agents in an Ordinal Approach -- 2.3 From Social Choice Functions to Social Influence Functions -- 3 Multiple Sources of Influence Across Agents and Issues -- 4 Weighted Influence Across Agents and Issues -- 5 One Dominant Influence Across Agents and Issues -- 6 Discussion and Conclusion -- References -- A Characterization for Procedural Choice Based on Dichotomous Preferences Over Criteria -- Abstract -- 1 Introduction -- 2 Designing a Formal Model for PCBPC -- 3 Results -- 4 Discussion -- 5 Concluding Remarks -- References -- Influence Among Preferences and Its Transformation to Behaviors in Groups -- Abstract -- 1 Introduction -- 2 Influence on Preferences Among Agents and Its Transformation to Behaviors in Multi-agent Systems -- 2.1 Transformation from Preferences to Behaviors -- 2.2 Weighted and Signed Influence Among Preferences -- 3 An Example of Influence Among Preferences and Behaviors in Groups: Fertility Intention and Behavior in Families -- 4 From Individual Intention, to Individual Behavior and to Social Evolution: A New Approach for Demography -- 5 Mathematical Model: Variables Definition and Rules Design -- 5.1 Define Variables -- 5.2 Design Rules -- 6 Computer Model 7 Simulation Experiments and Results -- 8 Discussion, Conclusion and Future Work -- Acknowledgements -- References -- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model -- Abstract -- 1 Manipulability Model -- 2 The Aggregation Procedures -- 3 Extended Preferences -- 4 The Scheme of Calculation -- 5 Calculation Results -- 6 Conclusion -- Acknowledgements -- References -- Intelligent Group Decision Making and Consensus Process -- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value -- 1 Introduction -- 1.1 Related Work -- 2 Static RV -- 2.1 Negotiation Model -- 2.2 Utility Generation for ONAC Algorithm -- 2.3 Utility Generation for Boulware Algorithm -- 3 Dynamic RV: The PredictRV Strategy -- 3.1 Negotiation Model -- 3.2 ONAC for Dynamic Reservation Values -- 3.3 Boulware for Dynamic Reservation Values -- 3.4 Illustrative Example -- 3.5 Steps of Strategy for PredictRV -- 3.6 Counter Learning -- 3.7 Bayesian Learning with Regression Analysis (BLRA) -- 3.8 LSTM Based Prediction -- 4 Example Continued -- 5 Experiments -- 5.1 Setup for the Experiments -- 5.2 Metrics -- 5.3 Fire Disaster Response -- 5.4 Meeting Scheduling Domain -- 5.5 Summary of the Experiments -- 6 Conclusions -- References -- Inferring Personality Types for Better Automated Negotiation -- 1 Introduction -- 2 Partially Observable Markov Decision Process Framework -- 2.1 Encoding a Negotiation Problem in the POMDP Framework -- 2.2 State Space Definition -- 2.3 Action and Observation Set -- 2.4 State Transition Function -- 2.5 Observation Function -- 2.6 Reward Function -- 2.7 Discount Factor -- 3 Input Generation for the POMDP Model -- 4 Evaluation of the POMDP Agent -- 4.1 Sanity Check Experiment -- 4.2 Reward Function Evaluation -- 4.3 Effect of Opponent Type Misclassification in Input Transcripts 5 Experiment Results -- 5.1 Generation of Negotiation Data -- 5.2 Opponent Personality Type Prediction -- 6 Conclusions -- References -- Decision Rule Aggregation Approach to Support Group Decision Making -- 1 Introduction -- 2 Background -- 2.1 Notations and Basic Assumptions -- 2.2 Rough Approximation -- 2.3 Decision Rules -- 3 Decision Rules Matching and Overlapping -- 3.1 Basic Definitions -- 3.2 Conditions Matching -- 3.3 Decision Rules Matching -- 3.4 Overlapping Decision Rules -- 4 Decision Rules Aggregation -- 4.1 Step 1: Transformation of Overlapping Decision Rules -- 4.2 Step 2: Elimination of Redundant Decision Rules -- 5 Application -- 6 Conclusion -- References -- Collaborative Decision Making Processes -- An Ontology for Collaborative Decision Making -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Collaborative Decision Making Process -- 2.2 Ontology Definition -- 2.3 Types of Ontologies -- 2.4 Ontology Engineering -- 2.5 Collaboration Engineering -- 3 Developing an Ontology for Collaborative Decision Making -- 3.1 Our Ontology Building -- 3.2 An Ontology for Collaborative Decision Making -- 4 Conclusion -- References -- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System -- 1 Introduction -- 2 Functionality of the Decidio Pilot Implementation -- 3 User Study -- 3.1 QUEST Workflow -- 3.2 User Activity Logs -- 4 Results -- 4.1 Tool Evaluation Survey -- 4.2 User Activity Logs -- 4.3 Personality Survey -- 5 Discussion -- 5.1 Observations Based on User Personalities -- 5.2 Limitations -- 5.3 Future Vision -- 6 Conclusion -- A Appendix -- A.1 Tool Evaluation Survey -- References -- Author Index Group decision making-Congresses Informationstechnik (DE-588)4026926-7 gnd Verhandlung (DE-588)4062875-9 gnd Operations Research (DE-588)4043586-6 gnd Gruppenentscheidung (DE-588)4158442-9 gnd Anwendungssoftware (DE-588)4120906-0 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| subject_GND | (DE-588)4026926-7 (DE-588)4062875-9 (DE-588)4043586-6 (DE-588)4158442-9 (DE-588)4120906-0 (DE-588)4070864-0 (DE-588)1071861417 |
| title | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_auth | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_exact_search | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_exact_search_txtP | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_full | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_fullStr | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_full_unstemmed | Group Decision and Negotiation 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| title_short | Group Decision and Negotiation |
| title_sort | group decision and negotiation 20th international conference on group decision and negotiation gdn 2020 toronto on canada june 7 11 2020 proceedings |
| title_sub | 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, on, Canada, June 7-11, 2020, Proceedings |
| topic | Group decision making-Congresses Informationstechnik (DE-588)4026926-7 gnd Verhandlung (DE-588)4062875-9 gnd Operations Research (DE-588)4043586-6 gnd Gruppenentscheidung (DE-588)4158442-9 gnd Anwendungssoftware (DE-588)4120906-0 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| topic_facet | Group decision making-Congresses Informationstechnik Verhandlung Operations Research Gruppenentscheidung Anwendungssoftware Entscheidung bei Unsicherheit Konferenzschrift 2020 Online |
| work_keys_str_mv | AT moraisdaniellecosta groupdecisionandnegotiation20thinternationalconferenceongroupdecisionandnegotiationgdn2020torontooncanadajune7112020proceedings AT fangliping groupdecisionandnegotiation20thinternationalconferenceongroupdecisionandnegotiationgdn2020torontooncanadajune7112020proceedings AT horitamasahide groupdecisionandnegotiation20thinternationalconferenceongroupdecisionandnegotiationgdn2020torontooncanadajune7112020proceedings |