[agents] PRIMA2020: Call for Participation

[Takayuki Ito]

Call for Participation 

PRIMA2020 is going to be held on November 18-20, 2020 online. 

Registration for audiences is ** free **

PRIMA2020 has 7 sessions, 2 tutorials and 1 workshop

Conference site : http://uchiya.web.nitech.ac.jp/prima2020/
Registration : http://uchiya.web.nitech.ac.jp/prima2020/registration.html
Program : https://sites.google.com/view/prima2020schedule/

- Keynote Speech
Title：Meaningful Human Control in Hybrid Intelligence
Catholijn Jonker, Professor, TU Delft, The Netherlands
Abstract: Hybrid Intelligence is the intelligence emerging from a true collaboration between human and artificial intelligence. The future of humankind is determined more and more by the results of a co-evolution process of humans and their technology. Artificial intelligence is a force to be reckoned with as the autonomous intelligence it creates is still developed mostly from a business perspective to supplant people, thus reducing costs and increasing efficiency of current workprocesses. In this talk I present the different view of hybrid intelligence in which humans and artificial intelligence work together to achieve dreams that so far are beyond human capcatity and in which the co-evolution of human and artificial intelligence will foster and advance human intelligence as well as artificial intelligence. When talking about artificial intelligence with a high dose of autonomy and working alongside humans, the issue of Meaningful Human Control is vital for our immediate and long-term safety. After explaining the notion of Meaningful Human Control I sketch the prinicples of co-active design and design for values that we need to achieve Meaningful Human Control in Hybrid Intelligence.Technology for Hybrid intelligence itself can play a major role in the necessary co-deliberation and co-creation process of the co-active design of Hybrid Intelligence. 

- Invited Talk1
Title：When AI Meets Game Theory
Speaker: Bo An, Associate Professor, Nanyang Technological University, Singapore
Abstract: In January 2017 CMU’s Libratus system beat a team of four top-10 headsup no-limit specialist professionals, which was the first time an AI had beaten top human players in this game. Libratus’s success is purely based on algorithms for solving large scale games and has nothing to do with deep learning! Over the last few years, algorithms for solving large scale games have also been applied to many domains such as security, sustainability, ad-word auction, and e-commerce. For some complex domains with strategic interaction, reinforcement learning is also used to learn an efficient policy. This talk will discuss key techniques behind these success and their applications in domains including games, security, e-commerce, and urban planning. 
- Invited Talks2

Invited Talk2
Title：Social Choice with Variable Populations
Speaker: Taiki Todo, Assistant Professor, Kyushu University, Japan
Abstract: Social choice theory is one of the well-studied mathematical foundations of decision making for multi-agent systems. In the literature of social choice theory, the number of agents in the system is usually assumed to be a constant, and different social choice functions can be applied to different populations. When the number of agents is treated as a variable, e.g., not observable a priori, however, a social choice function must be carefully designed so that it can accept any possible population as input. Indeed, for the open, anonymous, and dynamic environments, the number of agents is not likely observable for the decision maker. In this talk, I will review some traditional models of social choice, introduce possible extensions of them for variable populations, and discuss the relation with mechanism design. 

- About PRIMA conference
Agent-based Computing addresses the challenges in managing distributed computing systems and networks through monitoring, communication, consensus-based decision-making and coordinated actuation. As a result, intelligent agents and multi-agent systems have demonstrated the capability to use intelligence, knowledge representation and reasoning, and other social metaphors like 'trust', 'game' and 'institution', not only to address real-world problems in a human-like way but also to transcend human performance. This has had a transformative impact in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief & disaster management, and data mining & analytics.

The 23nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2020) invites submissions of original, unpublished, theoretical and applied work on any such topic, and encourages reports on the development of prototype and deployed agent systems, and of experiments that demonstrate novel agent system capabilities.

Conference Committee
Conference chair
- Takayuki Ito (Kyoto University)
- Minjie Zhang (University of Wollongong)
Program chairs
- Takahiro Uchiya (Nagoya Institute of Technology)
- Quan Bai (University of Tasmania)
- Ivan Marsa-Maestre (University of Alcara)
Publication chairs
- Toshihiro Matsui (Nagoya Institute of Technology) 
Workshop and Tutorial Chairs
- Tokuro Matsuo (Advanced Institute of Industrial Technology)
- Rafik Hadfi (Nagoya Institute of Technology)
- Reyhan Aydogan (Ozygen University)


Takayuki Ito, Ph.D.
Professor
Department of Social Informatics, 
Kyoto University
Yoshida-Honmachi, Kyoto 606-8501, Japan
TEL: +81-75-753-4821
FAX: +81-75-753-4820
E-mail: ito at i.kyoto-u.ac.jp
Web: http://www.itolab.me/~ito/

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