Stream chairs are encouraged to invite speakers and organize corresponding sessions under each stream.
Complex Systems and Decision Analysis
Yuejin Tan (谭跃进),National University of Defense Technology,China
Kewei Yang (杨克巍),National University of Defense Technology,China
System of systems(Sos) is a kind of complex system which integrated different task-oriented systems together to provide more functionality and performance than the independent systems. The decision issues of Sos engineering arise in many areas such as manufacturing, defense, national security, aerospace, aeronautics, energy, environment, healthcare, and transportation. This stream proposes and facilitates interactions on the current development in the field of system of systems and system engineering, with emphasis the decision analysis in this fields. The original works of this areas are welcomed to submit their paper to this stream, especially for new theories that describe the Sos model which can make the complex system more understandable for the decision makers; new methodologies, technologies to solve the challenging decision problems during the analysis of Sos Engineering; new applications and practical advances which can utilize the performance of complex systems in the real world. The main objective of the Stream on Complex systems and Decision Analysis is to exchange ideas and experiences on technology, methodology, applications, study cases, and practical experiences such as Sos structure model, Sos analysis, Sos requirement, model-based system engineering, multi-objective decision making in Sos engineering. Original papers related to this stream are warmly welcomed.
Henner Gimpel, University of Augsburg, Germany
Keith Hipel, University of Waterloo, Canada
Marc Kilgour, Wilfrid Laurier University, Canada
Liping Fang,Ryerson University, Canada
Strategic conflict arises whenever humans interact, individually or in groups. New, recently-developed methodologies and techniques that can help analysts understand strategic conflicts and provide strategic support to negotiators have been of great benefit to many decision makers. New theoretical issues are being explored, and at the same time new software systems are making modeling easier and analytical results clearer. Theoretical and practical advances have been utilized to study strategic conflicts arising in diverse areas including energy projects, climate change, environmental management, food crisis, economic disparities, international trade and aging infrastructure. The main objective of the Stream on Conflict Resolution is to provide a forum for discussion of research advances on the development of formal approaches to conflict resolution with insightful applications in a range of domains. Prospective authors are cordially invited to submit original research developments and applications.
Consensus Process Decision Making
Yucheng Dong (董玉成), Sichuan University, China
Zaiwu Gong (巩在武), Nanjing University of Information Science and Technology, China
Jian Wu (吴坚), Shanghai Maritime University, China
Zhen Zhang (张震), Dalian University of Technology, China
Haiming Liang (梁海明), Xidian University, China
In group decision making (GDM), a consensus process is a dynamic and iterative process in which decision makers have to discuss, negotiate and modify their opinions in order to obtain a satisfied consensus level. The past few decades have witnessed the development of different consensus models. However, with the development of ICT, new decision paradigms, such as social network and e-democracy, are more and more common in human beings’ daily life, which brings new challenges for consensus process.
The aim of this stream is to provide a forum for researchers and practitioners working jointly in the research areas of GDM to discuss the state of art of consensus process. The topics include but are not limited to:
- Consensus measures and feedback mechanisms in GDM
- Information fusion and visualization in consensus process
- Managing incomplete information in consensus process
- Consensus process in dynamic and heterogeneous environment
- Consensus process in large-scale GDM
- Consensus process in social network-based decision making
- Application of consensus process in GDM
Collaborative Group Decision
Pascale Zarate, University Toulouse 1 Capitole, France
Direct Democracy and Wisdom of the Crowds
Lihi Naamani-Dery, Ariel University, Israel
When almost every citizen holds a smart mobile phone and wifi connections are abundant, it is easier than ever to voice your opinion and make it heard. e-Democracy enables voters to vote directly on different issues. In a similar fashion, wisdom of the crowds is concerned with utilizing the voters in order to find some unknown truth. We welcome original contributions in all aspects - algorithms and sharing procedures, collaboration applications, decision support, security, e-Trust and confidence and more.
Gert-Jan de Vreede, University of South Florida, USA
Xusen Cheng (程絮森), University of International Business and Economics, China
Crowdsourcing refers to a collaboration model enabled by social media technologies to solve individual, organizational, and societal problems using a dynamically formed crowd of interested people who respond to an open call for participation. Over the last decade, crowdsourcing has grown as a viable and popular form of mass collaboration beyond organizational boundaries. Organizations use different crowdsourcing models, such as micro tasking, labor markets, open innovation, innovation competitions, citizen science, community crowdsourcing, enterprise/intra-organizational crowdsourcing, and crowd funding.
In this stream, we invite research submissions that address the crowdsourcing phenomenonfrom theoretical, technological, social, psychological, behavioral, or design scienceperspectives. Both empirical and theoretical/conceptual contributions are welcomed. This stream will focus on a wide range of topics including but not limited to:
- Crowdsourcing process design and evaluation
- Design science and action research related to mass collaboration in crowdsourcing
- Factors that facilitate or inhibit the success and quality of crowdsourcing efforts
- Group decision making, negotiation, facilitation, recommendation and communication technologies relates to crowdsourcing
- Conceptual or theoretical work on mass collaboration of crowdsourcing
- Quantitative and computational studies involving big data sets in crowdsourcing
- Idea generation and selection on crowdsourcing
- Business models for crowdsourcing
- Creativity and crowdsourcing
- Motivation, engagement, satisfaction, and other cognitive and behavioral phenomena related to crowdsourcing
Economic Evaluation and Decision under the Belt and Road Policy
Kedong Ying (殷克东), Ocean University of China,China
Decisions Concerning Arctic Issues: Models and Results
Fuad Aleskerov, National Research University Higher School of Economics, Russia
We are going to discuss several problems concerning group decision making on the Arctic issues. First, these are the issues on the disputable zones in the Arctic region, revealing the interests of countries and of local population over these zones.
It is well understood that in group decisions concerning Arctic issues there is a gap between national group think and general views on these issues. We would like to reveal those problems and discuss the role of communities in the group decisions. We will discuss the models dealing with collective and multi-criterial decisions, and special attention will be given to optimization models and models taking into account, in particular, conditions of poor information.
Second, we are going to discuss the problems of perception and judgement of decisions made, in particular, how these perceptions and judgments are distributed and spread over local communities in the region. An experimental studies revealing these perceptions and judgments will be a part on our stream.
Another direction of research we are going to consider is a risk assessment of the decisions made in the field. This includes the models in ecological issues and engineering decisions concerning risk assessments, for instance, about bio-security and industrial installations in the Arctic seas.
Emotion in Group Decision and Negotiation
Bilyana Martinovski, Stockholm University, Sweden
Group decision and negotiation provide rational base for human cooperation which involves a large spectrum of contexts, such as international relations, business relations, political relations, judicial procedures, human-machine interaction, medical care, etc. As such, the group decision and negotiation field offers a unique opportunity to study emotion in different contexts because the involved inter-subjective activities constrain emotions.
The Track on Emotion in Group Decision and Negotiation has continuously stimulated research on the topic. GDN2018 invites further research to explore the following questions: How do emotions influence the framing of decision problems, the negotiation dynamics/process/outcome/evaluation, and vice versa? How are emotions expressed, elicited and interpreted depending on contexts such as culture, participants relations/personality, activity, stress level, etc.? Are emotions coping strategies in group decision and negotiation? How are emotions related to the different stages of negotiation? What are the neural conditions and functions of emotions in group decision and negotiation? How does inter-subjectivity affect emotions? What are the communicative means for the realization of emotions? How are emotion related to multi-functionality of utterances? How can that multi-functionality be reflected in the architecture of Decision Support Systems? How are emotions related to value, ideology and identity? Are there different cultural aspects of emotions? How do different types of media affect emotions in group decision and negotiation contexts? Can we develop fully Automated Decision Support and Negotiation Agents which take into consideration emotion at each stage? Can Mind-Minding Virtual Humans facilitate the group decision or negotiation processes and problem formulation? What novel methods are developed for the study of how emotions affect the process and outcome of group decision and negotiation?
Future research on emotions in group decision and negotiation would gain from inter-disciplinary collaboration, including psychology, behavioral and social studies, semiotics, neuroscience, economics, linguistics, computer science, and anthropology.
Negotiation Support Systems and Studies (NS3)
Sabine Koeszegi, Vienna University of Technology, Austria
MareikeSchoop, University of Hohenheim, Germany
Gregory Kersten, Concordia University, Canada
Rudolf Vetschera, University of Vienna, Austria
Business and personal interactions increasingly take place online and they contribute to building new relationships and associations. People involved in these interactions may have to engage in e-negotiations with using such common systems as email and skype, support tools and aids that are often embedded in business systems, as well as dedicated electronic negotiation support systems (NSSs). Researchers, developers and practitioners who design and develop NSSs, study their use in the laboratories and in the field, or incorporate NSS components into negotiation, mediation and facilitation are invited to participate in the NS3 stream.
We solicit papers looking at either theory or practice, or both. In particular, we seek papers that help bridging the gap between the vast amount of work on face-to-face negotiations and online negotiations as well decision and negotiation aids embedded in negotiation processes. We also seek papers that focus on the design and use of tools for decision support, communication support, document management, or conflict management for the negotiators and mediators in electronic negotiation processes.
One goal of the NS3 stream is to bring together automated approaches (such as multi-agent systems) and support approaches (such as NSSs enabling negotiations between human negotiators). The Stream has the following objectives:
- To show the latest research in negotiation support systems and their use in e-negotiation processes.
- To discuss a holistic approach to support human negotiators in complex processes.
- To discuss the design and implementation issues of software agents for and in GDN.
- To explore the role of agents in homogenous and heterogeneous environments.
- To explore strategic reasoning and behaviours in argumentation-based negotiations.
Topics of interest include:
- Bilateral, multi-bilateral and multi-lateral e-negotiations
- Electronic mediation and mediation support
- Cross-cultural online negotiations
- Electronic mediation and facilitation
- Emerging applications for e-negotiations (e.g., crowdsourcing, social networks)
Evaluation and Decision in Energy-Economy-Environment System
Dequn Zhou(周德群), Nanjing University of Aeronautics and Astronautics, China
Peng Zhou(周鹏), Nanjing University of Aeronautics and Astronautics, China
Qunwei Wang (王群伟), Nanjing University of Aeronautics and Astronautics, China
Energy- Economy-Environment (3E) system evolution and decision researches have contributed greatly to the government negotiation, policy design, as well as the business investment decisions. New issues are being proposed and new models and techniques have been developed to support researches on them. Focusing on the sustainable development and economic efficiency of governments, researchers have tried to model the climate change, technical change, as well as the whole ‘3E’ systems to offer implications for governments in policy design and international negotiations. Investors usually have interests in the strategic decisions in investments in energy projects, carbon mitigation technologies, sustainable operations, etc. This stream aims to provide a forum for researchers, scientists, and practitioners working on clarifying the relationship between groups with different objectives, evaluating the ‘3E’ systems and their developments, and providing decision strategies for different groups. We then invite studies on topics such like:
- Carbon mitigation and carbon trade market
- Sustainable operations management
- Techno-economic analysis of energy and carbon mitigation technologies
- Renewable energy incentive and Climate mitigation policy design and evaluation
- Energy efficiency evaluation
- ‘3E’ system simulation
- Production efficiency analysis and green manufacture
- Energy system transition
Group Decision Makingin Mega InfrastructureProject
Zhaohan Sheng(盛昭瀚), Nanjing University, China
Mega infrastructure projects (MIPs) are generally a type of projects which involve the governments as the major decision-makers and investors. They usually have huge scales, and are characterized by complex environmental conditions and their significant and far-reaching impacts on the social and economic developments of a region.At present, the successful delivery of MIPs has been recognized as the important driving force and the symbol of economic and social development throughout the world. Moreover, the importance and complexity of decision-making in MIPs have also become increasingly apparent.
The decision-making in MIPs refers to the analysis of complex decision-making difficulties and the selection of plans, including the project approval, the construction plan, the mode of investment and financing, etc. The decision-making consists of a wide range of related components, especially the complicated decision-making group which is composed of multi-level, cross-border and multi-autonomous organizations. In the decision-making process, it is not only necessary to analyze and handle the conflicts and coordination among different preferences, interests and values of different bodies, but also pay attention to the important features that the major decision makers have a high social level and their own political, legal, power and cultural attributes are distinctive.
Therefore, in addition to solving the general group decision-making optimization and value preference coordination, the decision group in MIPs must properly solve the conflicts between power and law, and the system design of the group decision-making. It means the group decision-making in MIPs is not only a new issue of group decision-making that is currently of wide practical significance in the world, but also an academic extension of the traditional research on group decision science and theory.
Although not limited to, the stream includes following topics:
- Analysis of complexity about the group decision in MIPs
- Group decision-making under deep uncertainty in MIPs
- Measure and analysis of scenario robustness of group decision-making in MIPs
- Governance of group decision-making in MIPs
- Allocation and balance of power in group decision-making of MIPs
- Methods and applications of group decision-making in MIPs under the background of Big Data
- Case study of group decision-making in MIPs
Alain Lempereur, Brandeis University, USA
Negotiation theory and humanitarian practice can learn much from each other. First, humanitarian practitioners and organizations increasingly recognize the importance of negotiation and mediation approaches to save lives, to provide protection and to deliver assistance. However they have little contact with negotiation experts and little knowledge about theoretical models that can inform their daily practice. Second, negotiation academics have not much studied what is specific about humanitarian work. Their prevailing theories, including the interest-based negotiation, might not suffice to overcome many challenges and dilemmas that humanitarians face daily. This double ignorance of negotiation theory and humanitarian practice, by each other, can be replaced by mutual nurturing. Humanitarian practice can even support alternative approaches to mainstream theory. Negotiation theory, as it becomes more pluralistic and inquiry-based, can also inform humanitarian practice. From the 19th century until today, the history of humanitarian diplomacy provides many cases to examine, with successes and failures of multifold negotiations. Humanitarian negotiation becomes ever more complex, with more stakeholders, more problems and more processes to take into account. Complementary theories, tools and concepts can be elaborated, which will help frontline negotiators in the field, but which in turn will question and refine the theories themselves.
Stochastic Decision Making in Supply Chain Management
Houcai Shen (沈厚才), Nanjing University, China
Game Theoretical Applications in Supply Chain and Logistic Management
Ginger Ke, Memorial University of Newfoundland, Canada
Mingming Leng, Lingnan University, Hongkong
Supply chain and logistics management involves the management of commercial activities that include manufacturing, physical transportation, and after-sale service and warranty repairs. Aligning the decisions among multiple participants is extremely critical in complicated and realistic situations. Based upon the Game Theory, this stream aims to provide a forum to scientists, researchers, and practitioners, for developments of innovative game theoretical approaches to real-world problems in supply chain and logistics management, and for discussions of recent progresses and results of their research. The focus of this stream is the connections and interactions among the parties involved in any decision making processes in supply chain and logistics management. Application areas may include but not limited to: production planning, inventory analysis, pricing, contract negotiation, capacity allocation, logistics operation, transportation management, traffic control, and e-commerce.
Preference Modeling for Group Decision and Negotiation
Adiel Almeida, Federal University of Pernambuco, Brazil
Tomasz Wachowicz, University of Economics in Katowice, Poland
A variety of methods, techniques and normative models may be used for supporting group of negotiators and decision makers (DM) in defining their goals, eliciting preferences and building the rating systems, often integrated with multiple criteria decision making (MCDM) and game theory. Cognitive issues, formal knowledge and skills of DMs influence the redesigning of existing and designing the new methods for preference modeling and elicitation for group decision and negotiation (GDN) process. In order to make these methods more appropriate for real-world decision problems, preference modeling approaches need to be continuously improved, considering behavioral issues and DMs’ limitations regarding information and perception for evaluating preferences.
The main goal of this stream is to create a forum for scientists, researchers and practitioners working on the topic of preference modeling for GDN that will allow to exchange their experience and knowledge, and discussing the recent developments and results of their research. Although not limited to, the stream includes following topics:
- Preference modeling in GDN problems
- Methodological issues of preference analysis
- Preferences in voting, mediation and arbitration procedures
- Preference learning
- Behavioral studies on preference for GDN
- Neuroscience experiments on preference for GDN
- Experimental studies on preference for group decision and negotiation
- Interfaces between GDN and MCDM
- Use of MCDM methods for preference modeling in group decision and negotiation
- Preferences in group decisions for MCDM
- Group decision support based on partial information and experts’ knowledge
- Handling the imprecise and vague preference information
- Preference aggregation of decision makers versus knowledge aggregation of experts
Risk Analytics and Data Intelligence
Desheng Wu(吴德胜), University of Chinese Academy of Sciences, China
The world is going through the era of big data when decision makers are overloaded with unstructured data. Most of the time data need validation, collation, and structuralisation. Well-structured, correctly analyzed at the right time, data will help in choosing priorities, detecting threats and finding ways of development. Meanwhile, many decisions are still made under uncertainty and without proper risk management. Series of recent economic crises in the mix with technogenic catastrophes and natural disasters point out the needs of developing cutting edge approaches and strategies for designing state-of-the-art tools and methods in supporting decisions. The stream is intending to provide space for exploring new ideas, concepts and investigations on the theme “Risk Analytics and Data Intelligence”.
Financial Investment Decision and Risk Management
Yanchu Liu (刘彦初), Sun Yat-sen University, China
Yudong Wang (王玉东), Nanjing University of Science and Technology, China
Financial investment decision is an extremely important issue in the area of decision science. Needless to say, there is a great interest in improving financial decision making. This stream welcomes both theoretical and empirical papers related to financial investment decision. The topic of interest includes but not limited to:
- Financial asset price forecasting
- Financial risk management
- Financial derivatives investment decision
- Behavioral financial decision
- Financial portfolio management
- Financial econometrics
- Financial engineering
- Commodity market investment
Fuzz Group Decision Making and Cooperative Game Theory
Zeshui Xu (徐泽水), Sichuan University, China
Huchang Liao (廖虎昌), Sichuan University, China
Dengfeng Li (李登峰), Fuzhou University, China
Group decision making (GDM) is an interdisciplinary research area attracting practitioners and researchers from psychologists, economists, to computer scientists. Thanks to the pioneering work done by Zadeh, the fuzzy set theory has achieved considerable success over the past half century. Different variations of fuzzy set have been introduced to GDM problems, such as the intuitionistic fuzzy set, the interval-valued fuzzy set, the linguistic term set, the hesitant fuzzy set, the hesitant fuzzy linguistic term set, the probabilistic term set, and so forth. GDM with fuzzy information is a hot research direction in the area of decision analysis. Now and in the future, GDM methodologies and algorithms with fuzzy models would still be a quite promising research line. Given that the existing fuzzy GDM methods mainly focus on single side decision activity, the cooperative game theory is very useful to model the GDM problems in which the groups of players have competition due to the possibility of external enforcement of cooperative behavior. It focuses on predicting the joint actions of the coalitions and the collective payoffs.
We are shocked that the father of fuzzy set, Prof L.A. Zadeh, passed away on Sep 6, 2017. This stream is dedicated to memorializing the great contribution of Prof Zadeh to decision analysis. The aim of this stream is to provide a forum for researchers and practitioners to explore latest modeling, analysis, computation and synthesis algorithms and approaches to fuzzy GDM and cooperative game theory and their applications. We invite researchers and experts worldwide to present high-quality original research results on the following potential topics and their applications, but are not limited to:
- Fuzzy GDM methods to multiple criteria decision making problems
- GDM with fuzzy preference information
- GDM with intuitionistic fuzzy set and its extensions
- GDM with hesitant fuzzy set and its extensions
- GDM with linguistic representation models
- GDM with cooperative game theory
- Cooperative game theory with fuzzy information
- Fuzzy GDM applications in real world problems
- Fuzzy cooperative game theory in real world problems
Grey and other Uncertainty Information in Group Decision Making
Naiming Xie (谢乃明), Nanjing University of Aeronautics and Astronautics, China
Rafał Mierzwiak, Poznan University of Technology, Poznan, Poland
Information is the most important prerequisite of Group decision making. While information of decision making alternatives could be collected and expressed in uncertainty rather than certainty. There are a lot of uncertainty theories, such as grey system theory(GST), fuzzy set(FS), rough set(RS), interval, etc have been proposed and developed very well in past several decades.
The main goal of this stream is to create a forum for scientists, researchers and practitioners working on the topic of grey and other uncertainty information modeling for GDN that will allow to exchange their experience and knowledge, and discussing the recent developments and results of their research. Thus we invite contributors to submit to this stream the papers and sessions. Although not limited to, the stream includes following topics:
- Grey decision making models
- Grey number and other uncertain number expression and algorithms
- Other uncertainty decision making models
Workshop: Values, Technology and Problem Solving
Sabine Koeszegi, Vienna University of Technology, Austria
Melvin Shakun, New York University, USA
Gregory Kersten, Concordia University, Canada
Technology is present in every nook and corner of our life and it its role and scope will only increase. The more technology we have around us the more important it is to consider its contributions to problem solving and to the preservation and achievement of our existing values as well as the creation of new values. The overall purpose of the workshop is to provide multiple perspectives on the influence of technology on problem solving as well as moral, social, and/or political values.
Technology and problem solving enhance existing needs and creates new needs. It also helps people, societies, and organizations to achieve and maintain values. The concept of “value” may be seen as a purpose or goal, here it is associated with goodness and virtue; in that sense value can be moral, social, and political. Technology is limited here to the various technical and organizational solutions that broadly fit the theme of the conference, i.e., they are related to group decisions and/or negotiations. Broadly defined, technology is knowledge-based capability used to realize purposes/values. While all purposes/values can be introduced, emphasis in this workshop is on spiritual, moral, ethical, social and political values.
Human and artificial agents, both have purposes/values – intentions they want to realize. In the light of the development of new, disruptive technologies in the area of artificial intelligence AI (e.g. deep learning algorithms or natural language processing) the capabilities of artificial agents are more and more resembling those of human agents. Thus, technological solutions may become artificial moral agents that may have their own intrinsic values but also affect existing or create new human values. A problem for both, human and artificial agents arise from not realizing values. A problem solution based on technology brings realization of these values or evolved ones. Using various approaches and examples, speakers discuss values, problem solving, negotiation, leadership and technology. Speakers deliver talks followed by discussion among speakers and attendees.
Water Resources Management and Cooperation
Huimin Wang (王慧敏), Hohai University, China
Dongying Sun (孙冬营), Jiangsu University, China
Negotiation and collaboration over water conflicts are commonly observed in real life, since conflicts are pervasive in water management when various individuals or groups having different interests interact with another. New, recently-developed negotiation methodologies and techniques that can help water managers better understand how to negotiate and collaborate to reach win/win solutions have been of great benefit to many decision makers. Novel theoretical and practical advances including Hall for Workshop of Meta-Synthetic Engineering and Consensus Decision-making have been utilized to study negotiation and collaboration over conflicts arising in water infrastructure development, water utilization, water trading and other water related management issues. The main objective of the Stream on Negotiation and Collaboration in Water Management is to provide a forum for discussion of research advances on the development of formal negotiation approaches and valuable applications in water management. Prospective authors are cordially invited to submit original research developments and applications.