PRIANAC (Pacific Rim International Automated Negotiation Agents Competition)
We hold a competition of automated negotiation agents as a workshop in PRIMA (Principles and Practice of Multi-Agent Systems). Automated negotiation is one of the most important AI technologies which promote collaboration and orchestration among AI-enabled social entities. To populate the technology, automated negotiating agents competition (ANAC) has been held since 2010 in conjunction with the International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) or the International Joint Conference on Artificial Intelligence (IJCAI). With ANAC committee, we hold the first satellite competition in PRIMA. We welcome your submission of AI agents as well as your participation and discussion in the workshop.
Winner Annoucement and Results of PRIANAC
- Winner of Individual Utility Category
- Satoshi by Ryohei Kawata (Tokyo University of Agriculture and Technology, Japan)
- 2nd Place of Individual Utility Category
- TimeTraveler by Yuta Hosokawa (Tokyo University of Agriculture and Technology, Japan)
- Winner of Social Welfare
- Agent33 by Shan Liu (Nagoya Institute of Technology, Japan)
- 2nd Place of Social Welfare
- TimeTraveler by Yuta Hosokawa (Tokyo University of Agriculture and Technology, Japan)
The setup and result of PRIANAC are as follows: PDF
Introduction
Today’s remarkable AI trends may accelerate the necessity of collaboration among AIs and game theoretic AI technologies. Among other thing, negotiation is quite practical and suitable to apply to today’s real IT systems. That is because the protocols used in negotiation is quite similar to a real business transaction, which consists of request for proposal, proposal, counter proposal, and so on.
On the other hand, the most invested, advanced, and advertised match-type AI is no more than game; Go, Quiz, and Video Game. Even though researches on these games have been accelerating fundamental AI researches, straightforward implementations in real business seemed to be hard. Our approach to this problem is to set up a business oriented competition first, which can be easily transported into real business, then gather AI researchers to develop an eco-system.
Therefore, in addition to hold a competition of standard automated negotiation (bilateral negotiation with alternative proposals), we will introduce two demonstrations of the setup of more business-like setting of competitions (leagues) that will be part of ANAC 2019 and hold an exhibition of the game setting in PRIANAC. One is chained-negotiation for supply chain management in the context of Industrie 4.0. The other is negotiation with an uncertain utility function to capture the preference of human.
Program
Date: 1:00 PM - 5:30 PM, October 29th, 2018.
- Invited Talk by Dr. Reyhan Aydogan (Ozyegin University)
- ANAC overview by Katsuhide Fujita (Tokyo University of Agriculture and Technology)
- Motivation
- Research Challenges
- General Rules and History
- Coffee Break (2:30-3:00)
- Industrial usage by Satoshi Morinaga (NEC&AIST)
- Competition Setup, Results
- Announcements of winners in PRIANAC by Katsuhide Fujita (TUAT)
- Presentation of Agents
- Agent33 by Shan Liu (Nagoya Institute of Technology, Japan)
- Satoshi by Ryohei Kawata (Tokyo University of Agriculture and Technology, Japan)
- TimeTraveler by Yuta Hosokawa (Tokyo University of Agriculture and Technology, Japan)
- Appaloosa by Hikmet Orhun Güley (Özyeğin University, Turkey)
- Introduction and Exhibition of ANAC 2019 leagues (10th ANAC) (1 hour)
- Analysis and commentary to PRIANAC and ANAC by Yasser Mohammad(AIST)
- SCM league by Shinji Nakadai(NEC&AIST)
- Uncertainty challenge by Reyhan Aydogan
- Discussion
Competition Overview
Rules and Competition Settings
Challenge: agents can make use of bids in previous negotiation sessions. Therefore, we explicitly permit the use of local file and a popular machine learning library (scikit-learn).
- Platform: Genius 9.1.1
- The number of agents: 2
- Negotiation time: 10 sec.
- The number of negotiations on the same configuration: 100
Detail(English)
Important dates
- Submission deadline:
Sep. 30, 2018 => Oct. 14, 2018 (Extended)
- Competition dates: Oct. 29, 2018
Host event
Location
Submission and Copyright
Submission
Submission form
A submission includes the following files. All following files should be compressed in a zip file.:
- Source code
- Class Files
- At least 1 page and maximum of 4 page description and explanation of their agent. Particularly, the participants should explain concisely:
- Bidding Strategy
- Opponent Modeling
- Acceptance Strategy
- Learning strategy
Copyright agreement
By entering the competition, the participants agree on granting copyright to our organisation committee to make source code and explanations of the agents available on the website of the competition and repository of agents with the open source GENIUS, while retaining copyright yourselves as well.
Participation in PRIMA workshop
The registration of workshop is necessary from the PRIMA registration site.
It is expected that teams that make it through to the finals will have a representative attending PRIANAC session. Teams in the final will be given the opportunity to give a brief presentation describing their agent at the session. It is an option to present through Skype or a video message without attending PRIANAC (no registration fee). Those who would like to make a presentation and are not a finalist, please contact us.
Organizing Committee
Organizing Chair
- Takayuki Ito, Nagoya Institute of Technology
Organizers
- Catholijn Jonker, Delft University of Technology
- Reyhan Aydogan, Ozyegin University & Delft University of Technology
- Tim Baarslag, Centrum Wiskunde & Informatica (CWI)
- Katsuhide Fujita, Tokyo University of Agriculture and Technology
- Satoshi Morinaga, NEC Corporation / AIST
- Shinji Nakadai, NEC Corporation / AIST
- Takashi Yoshida, NEC Corporation / AIST
- Yasser Mohammad, AIST
Student Committee
- Tatsuya Toyama, Nagoya Institute of Technology
- Tomoya Fukui, Nagoya Institute of Technology
- Ryohei Kawata, Tokyo University of Agriculture and Technology
AIST: National Institute of Advanced Industrial Science and Technology
prianac2018-groups@go.tuat.ac.jp
PRIANAC (Pacific Rim International Automated Negotiation Agents Competition)
We hold a competition of automated negotiation agents as a workshop in PRIMA (Principles and Practice of Multi-Agent Systems). Automated negotiation is one of the most important AI technologies which promote collaboration and orchestration among AI-enabled social entities. To populate the technology, automated negotiating agents competition (ANAC) has been held since 2010 in conjunction with the International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) or the International Joint Conference on Artificial Intelligence (IJCAI). With ANAC committee, we hold the first satellite competition in PRIMA. We welcome your submission of AI agents as well as your participation and discussion in the workshop.
Winner Annoucement and Results of PRIANAC
The setup and result of PRIANAC are as follows: PDF
Introduction
Today’s remarkable AI trends may accelerate the necessity of collaboration among AIs and game theoretic AI technologies. Among other thing, negotiation is quite practical and suitable to apply to today’s real IT systems. That is because the protocols used in negotiation is quite similar to a real business transaction, which consists of request for proposal, proposal, counter proposal, and so on.
On the other hand, the most invested, advanced, and advertised match-type AI is no more than game; Go, Quiz, and Video Game. Even though researches on these games have been accelerating fundamental AI researches, straightforward implementations in real business seemed to be hard. Our approach to this problem is to set up a business oriented competition first, which can be easily transported into real business, then gather AI researchers to develop an eco-system.
Therefore, in addition to hold a competition of standard automated negotiation (bilateral negotiation with alternative proposals), we will introduce two demonstrations of the setup of more business-like setting of competitions (leagues) that will be part of ANAC 2019 and hold an exhibition of the game setting in PRIANAC. One is chained-negotiation for supply chain management in the context of Industrie 4.0. The other is negotiation with an uncertain utility function to capture the preference of human.
Program
Date: 1:00 PM - 5:30 PM, October 29th, 2018.
Competition Overview
Rules and Competition Settings
Challenge: agents can make use of bids in previous negotiation sessions. Therefore, we explicitly permit the use of local file and a popular machine learning library (scikit-learn).
Detail(English)
Important dates
Sep. 30, 2018=> Oct. 14, 2018 (Extended)Host event
Location
Submission and Copyright
Submission
Submission form
A submission includes the following files. All following files should be compressed in a zip file.:
Copyright agreement
By entering the competition, the participants agree on granting copyright to our organisation committee to make source code and explanations of the agents available on the website of the competition and repository of agents with the open source GENIUS, while retaining copyright yourselves as well.
Participation in PRIMA workshop
The registration of workshop is necessary from the PRIMA registration site.
It is expected that teams that make it through to the finals will have a representative attending PRIANAC session. Teams in the final will be given the opportunity to give a brief presentation describing their agent at the session. It is an option to present through Skype or a video message without attending PRIANAC (no registration fee). Those who would like to make a presentation and are not a finalist, please contact us.
Organizing Committee
Organizing Chair
Organizers
Student Committee
AIST: National Institute of Advanced Industrial Science and Technology
Contact
prianac2018-groups@go.tuat.ac.jp