[agents] [CFP] SCML 2023 Competition (Part of ANAC) at AAMAS 2023

Yasser Mohammad yasserfarouk at gmail.com
Tue Mar 7 01:17:01 EST 2023


You are invited to submit to the fourth Supply Chain Management League (a
part of ANAC 2023 competition @ AAMAS 2023)

Challenge
--------------

Design and build an autonomous agent that negotiates on behalf of a factory
manager situated in a supply chain. The goal of a factory manager in SCML
is to maximize its profit given its private production capabilities by
negotiating trades with other agents. A factory manager can engage in
several negotiations simultaneously, for which its utility functions are in
general interdependent.

Travel Support
--------------------

This year, we have a travel scholarship for students to attend the ANAC
session to be held in conjunction with AAMAS. For being eligible to apply
for this scholarship, you should participate in at least one of the leagues
and submit your agent on time. You need to fill the form in the following
url by April 1st, 2023

https://tinyurl.com/mrttxpvn

Platform
------------

Participants will need to install the SCML library that runs on top of
NegMAS and includes everything they need for development. Using this
library, you can run the SCM world with the same settings as the ones
employed in ANAC 2021, or with personalized settings. SCML also includes an
implementation of few sample strategies.

Submission and Live Competition
--------------------------------------------

A live competition will be run again this year, started already.  All
participants are encouraged to upload early versions of their agents to the
online submission site. A leader-board will be maintained, displaying the
relative performance of all submitted agents, but no identifying
information about the participating teams will be available. The
competition website is:

https://scml.cs.brown.edu

Evaluation
--------------

There will be three separate tracks in the 2023 SCM league. The three
tracks will be conducted in two rounds, a qualifying round and a final
round. All entrants that are not judged to break any of the SCML and ANAC
submission rules will be entered into the qualifying rounds.

Top-scoring agents in the qualifying round will then be entered in the
final round. The organizing committee keeps the right to add a minimum
threshold on the score to advance to the finals or to win one of the
prizes. Ties will be broken using the mean score.

It is expected that finalists will send a representative to the ANAC
session at AAMAS 2023, where the winners will be given the opportunity to
give a brief presentation describing their agent. Three awards will be
announced at AAMAS 2023 (with associated monetary rewards) corresponding to
the three tracks (oneshot, standard and collusion).

Past Events
----------------

You can access past versions of SCML at:

SCML 2022: https://scml.cs.brown.edu/scml2022
SCML 2021: https://scml.cs.brown.edu/scml2021
SCML 2020: http://web.tuat.ac.jp/~katfuji/ANAC2020/#scm
SCML 2019: http://web.tuat.ac.jp/~katfuji/ANAC2019/#scm

All the code and descriptions of all agents submitted to the competition
can be found at:

https://github.com/yasserfarouk/scml-agents

Resources
---------------

For more information about SCML, please refer to the competition website:

https://scml.cs.brown.edu

Organizing Committee
------------------------------

Yasser Mohammad, NEC & AIST & Assiut University (main contact)
Katsuhide Fujita, Tokyo University of Agriculture and Technology & NEC-AIST
Amy Greenwald, Brown University
Mark Klein, MIT & NEC-AIST
Satoshi Morinaga, NEC-AIST
Shinji Nakadai, NEC-AIST

Important Dates
----------------------

 April 1st,  2023:  Travel Support Application at
https://tinyurl.com/mrttxpvn
 April 1st,  2023:  Registration on the competition website (Recommended)
 April 23rd, 2023:  Preliminary submission deadline (REQUIRED)
 May 1st,    2023:  Final submission deadline
 May 15th,   2023:  Notification to finalists (tentative)
 mid August, 2023:  Announcement of winners @ AAMAS 2023, London

Sponsored by:
NEC-AIST AI Collaboration Research Laboratory
BIRD Initiative
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