16th European Conference, EUMAS 2018, Bergen, Norway, December 6-7, 2018, Revised selected papers /
First Statement of Responsibility
Marija Slavkovik (eds.).
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (x, 267 pages) :
Other Physical Details
illustrations (some color)
SERIES
Series Title
Lecture notes in artificial intelligence
Series Title
Lecture notes in computer science ;
Series Title
LNCS sublibrary. SL 7, Artificial intelligence
Volume Designation
11450
GENERAL NOTES
Text of Note
Includes author index.
CONTENTS NOTE
Text of Note
Intro; Preface; Organization; Contents; Temporal Epistemic Gossip Problems; 1 Introduction; 2 Definitions; 3 Membership in NP; 4 A Subproblem of the Temporal Gossip Problem in P; 5 NP-completeness When Execution Time Is Bounded; 6 NP-completeness of Gossiping with Negative Goals; 7 Discussion and Conclusion; References; Partial and Full Goal Satisfaction in the MUSA Middleware; 1 Introduction; 2 Motivation; 3 Full and Partial Goal Satisfaction; 4 The Agent and Artifact Architecture; 4.1 Implementing the Metric for Partial Satisfaction; 5 Discussion; 6 Conclusions; References
Text of Note
2 Related Work3 Model for the Publisher in an Ad Exchange; 3.1 HBA Types (Advertiser's Strategies); 3.2 HBA Beliefs and Best Responses; 3.3 HBA Censored; 3.4 KM Estimator for Stochastic Opponents; 4 Experimental Results; 4.1 Agents in the Type Space A; 4.2 Neural Network Agent; 5 Discussion and Conclusions; References; Towards Online Electric Vehicle Scheduling for Mobility-On-Demand Schemes; 1 Introduction; 2 Problem Formulation; 3 Scheduling Algorithms; 3.1 Short Mode Algorithm; 3.2 Long Mode Algorithm; 4 MOD Software Package; 4.1 Web Platform; 4.2 Mobile Application
Text of Note
3.2 Architecture4 Case Study: Distributed Collaborative Care System; 5 Related Work; 6 Conclusions; References; Learning Hedonic Games via Probabilistic Topic Modeling; 1 Introduction; 2 Background and Related Work; 2.1 Hedonic Games; 2.2 Probabilistic Topic Modeling; 2.3 Uncertainty; 3 Game Interpretation as Documents; 4 Experimental Evaluation; 4.1 Dataset and Setting Escalation; 4.2 Significant Agents and Valid Topics; 4.3 Results; 5 Conclusion and Future Work; A Appendix: Detailed Results; References; Learning Best Response Strategies for Agents in Ad Exchanges; 1 Introduction
Text of Note
5 Testing and Evaluation6 Conclusions and Future Work; References; Two-Sided Markets: Mapping Social Welfare to Gain from Trade; 1 Introduction; 2 Preliminaries; 3 Converting Social Welfare to Gain from Trade; 4 Experimental Results; 5 Conclusion and Discussion; References; Affective Decision-Making in Ultimatum Game: Responder Case; 1 Introduction; 2 Preliminaries; 2.1 General Notation; 2.2 Ultimatum Game Rules; 2.3 Markov Decision Process; 3 Ultimatum Game as Markov Decision Process: Responder's Strategy; 3.1 Model of the Responder; 3.2 Dynamic Programming in UG; 4 Illustrative Experiments
Text of Note
Generalising the Dining Philosophers Problem: Competitive Dynamic Resource Allocation in Multi-agent Systems1 Introduction and Related Work; 2 Generalisation of the Dining Philosophers Problem; 3 Logic for Specification and Verification of GDP Games; 4 Symbolic Representation of Configurations on GDP Games; 5 Symbolic Verification of LGDP Formulae in GDP Games; 6 Conclusions and Outlook to Future Work; A Appendix: Proof of Theorem1; References; Interpreting Information in Smart Environments with Social Patterns; 1 Introduction; 2 Background; 3 The SCAA Framework; 3.1 Social Information
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book constitutes the revised post-conference proceedings of the 16th European Conference on Multi-Agent Systems, EUMAS 2018, held at Bergen, Norway, in December 2018. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 34 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.