All papers should be submitted in Springer LNCS format. The workshop will not have a formal published proceedings, but we will provide links to accepted papers along with the program. Accepted papers will be selected for oral and poster presentation based on peer review. Submissions are not double-blind; the submitted paper should include author names and affiliations.
As Internet has been growing, the large paradigm shift has begun in IT society and computer science. In essence, people can communicate and collaborate in highly efficient and effective way. Important paradigm shift in societal system is happening in the current real world. There are tremendous number of new tools for crowd collaboration, and further, there are a huge potential to realize tools and methodologies to support crowd decision making.
In such a situation, computational agent supports will play huge role to enhance the power of crowd collaboration. For example, during crowd decision making, computational agents could assist crowd discussion, summary generation, predict reasonable decisions based on the huge amount of preferences and opinions. Also, theoretical analysis and design of such crowd-level collaboration is critical so that huge number of preferences and opinions will be able to be reasonably processed and computed. Based on such theories and models, we can innovate real applications, which have never been in the past in the world.
As one of such research endeavors, Internet-based direct democratic discussions have received much attention and are likely to be one of the next generation methods for open and public citizen forums. Such forums require systematic methodologies that can efficiently achieve consensuses, reasonably integrate ideas, and avoid flaming. We are trying to apply artificial intelligent technologies and multiagent algorithms in order to efficiently facilitate large-scale citizen’s discussion and support consensus and collective decision making. Such intelligent computation for crowd would largely enhance citizen’s collective intelligence. This workshop is pursuing the advanced possibility of such paradigm shift, and also trying to apply such higher technologies into the real-world.
AgentCrowd2020 will discuss, among others, the following aspects and topics of crowd decision making within the field of autonomous agents and multiagent Systems:
The workshop on Agent-based Crowd Decision Making (AgentCrowd2020) will emphasize research and projects that address agent-based crowd decision making. A lot of crowd-based methodologies and applications have been developed and studied very widely. This workshop will focus more on methodologies, tools, theoreis on crowd decision making. We will explore the impact of agent technology and multiagent technology on the ways in which people come together to communicate and combine knowledge and skills. Coming from myriad disciplines and fields, workshop participants share how connecting groups of people, information, and machines can lead to more intelligent behavior and more effective problem solving.
The AgentCrowd2020 brings together researchers from academia, business, non-profit, and government to share insights, ideas, and experiences and to collaborate on the design of better approaches for crowd decision making.
IMPORTANT:Also we are planning to have a JST-CREST special session in which one of the JST-CREST projects titled “Innovating Agent-based Large-scale Consensus Support System (PI: Professor Takayuki Ito)” will have special sessions, where the researchers in the project will present the current progress of the project.
The papers can be submitted to one of the following categories:
Review Process and Acceptance Standards For gathering high quality papers, each paper needs to be reviewed by at least two PC members or experts in the field. Acceptance standards include its technical soundness, novelty, impact and readability.
Prof. Dr. Takayuki Ito (Organizing Co-Chair, Primary Contact Person)
Professor, Nagoya Institute of Technology, Japan.
Prof. Dr. Ahmed Moustafa (Organizing Co-chair) Associate Professor, Nagoya Institute of Technology, Japan
Prof. Naoki Fukuta (Organizing Co-chiar) Associate Professor, Shizuoka University, Japan
Prof. Dr. Quan Bai (Organizing Co-chiar) Associate Professor, University of Tasmania, Tasmania, Australia
Dr. Weihua Li (Organizing Co-chiar) Lecturer, Auckland University of Technology, New Zealand