NEWS: Two workshops, Agents and Ambient Intelligence (AgAmb) and Agents Applied in Health Care (A2HC), will be joined together in a single half-day event that will be held on October 28th.

Both the "Aula Magna" and the "Sala Principe d'Acaja" rooms are located in the historical Rectory building of the University of Torino, address via Verdi, 8, 10124 Torino.

Agent-based Crowd Decision-making (AgentCrowd2019)

October 28th, 2019 | 9:30-18:00 | Aula Magna

As Internet has been growing, the large paradigm shift has begun in IT society and computer science: 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. This workshop is pursuing the advanced possibility of such paradigm shift, and also trying to apply such higher technologies into the real-world. The workshop will emphasize research and projects that address agent-based crowd decision making. It 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.




8:30-9:30 Registration

Technical Paper Session : The Current Progress of Agent and Crowd

  • 9:30-10:00 Dr. Ryuta Arisaka (Nagoya Institute of Technology, Japan)
  • 10:00-10:30 Mr. Tomohiro Nishida (Nagoya Institute of Technology, Japan)
  • 10:30-11:00 Prof. Takayuki Ito (Nagoya Institute of Technology, Japan)

11:00-11:30 Coffee Break

Keynote and Invited Talk Session 1 : Towards Collaboration between Agents and Crowd

  • 11:30-12:15 Invited Talk1: Prof. Ahmed Moustafa (Nagoya Institute of Technology, Japan)
  • 12:15-13:00 Invited Talk2: Prof. Ivan Marsa-Maestre (University of Alcala, Spain)

13:00-14:30 Lunch

Keynote and Invited Talk Session 2 : Towards Collaboration between Agents and Crowd

  • 14:30-15:15 Invited Talk3 Prof. Quan Bai (University of Tasmania, Australia)
  • 15:15-16:00 Keynote Talk Prof. Takayuki Ito (Nagoya Institute of Technology, Japan)

16:00-16:30 Coffee Break

Cyber-Physical Discussion Session: The Future Vision of Co-creation among Agents and Crowd

  • 16:30-16:45 1) Briefing
  • 16:45-17:15 2) Generating ideas on D-Agree
  • 17:15-18:00 3) Making Roadmap

Agents and Ambient Intelligence

October 28th, 2019 | 14:30-18:00 | Sala Principe d'Acaja

The workshop aims at gathering people from the broad communities of agents and reasoning techniques with agents, machine learning, intelligent IoT, and smart environments, to present novel investigations regarding the paradigm of agents as applied to IoT and smart and environments. The workshop shall be structured in two streams: one for general discussion and one of a panel discussion on the theme of potentials of IoT intelligence for the agents paradigm.



Agents Applied in Health Care (A2HC)

October 28th, 2019 | 14:30-18:00 | Sala Principe d'Acaja

Due to the growing interest in the application of agent-based systems in health care, a number of applications addressing clinical problems are already based on agent technology. Thus, it is unquestionable that a benefit is guaranteed if the specialists in the field can meet and report on the results achieved in this area, discuss the advantages that agent-based systems may bring to medical domains, and possibly the problems they encountered, and also provide a list of the research topics that should be tackled in the near future. Core aspects of this workshop will be: interdisciplinary research, applied research, research devoted to integrate agents with other AI technologies, such as deep learning and machine learning, multi-agent reinforcement learning, distributed planning. Several methodological and technical problems have been discovered by the researchers that attempt to deploy agent-based systems in the medical area; just to name a few, the growing number of huge databases that need to be integrated (e.g. genetic data from next generation sequencing), the difficulty to integrate new agent-based systems with legacy software, the need to apply changing national and international laws and regulations concerning the privacy of medical data and the security of the transaction of patient information between agents.