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CALL FOR PAPERS
First Workshop on Interactions with Mixed Agent Types (AgentMix)
Held at the Int. Joint Conference on Artificial Intelligence 2016 (IJCAI-16)
http://ccc.inaoep.mx/inmat
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** IMPORTANT DATES
• Paper Submission: April 25th
• Acceptance Notification: May 20th
• Camera-Ready: June 1st
** SCOPE
Artificial intelligence is becoming ubiquitous. It is increasingly being used
in video games, smart phones, and even in our appliances and cars. With these
advances comes the urgent need to build software and devices that can reliably
interact with other artificial intelligent machines. Such settings have long
been hypothesized and studied across different fields like game playing and
game theory, multiagent systems, robotics, machine learning and related areas.
This workshop will call upon these researchers to assemble and share their
perspectives to the problem.
When such agents are situated in the real world, they will most likely
encounter agents that deviate from optimality or rationality and whose
objectives, learning dynamics and representation of the world are usually
unknown. Consequently, one seeks to design agents that can interact with other
agents by making important assumptions or hypothesis about their rationality,
objectives, observability, optimality and possibly their learning dynamics.
Agents might even behave randomly (due by faulty sensors and actuators or by
design), and robust techniques should come in play when dealing with these
types of uncertainty about their types.
** HIGHLIGHTS
The core of this workshop will center about discussing if single agent
techniques can be extended/adapted to the multiagent setting, and if so, how.
Questions that will be of special interest (but are not limited to) include the
following: Is it imperative to learn (explicitly) models of the other agents?
Or, can the other agents be marginalized as part of the environment. If no
assumption is made about the type of agents encountered, is one better off
assuming rational (game theoretic) or optimal (decision theoretic) models to
plan the interactions? Should exploration to learn the models be performed
separately and off-line or together as part of the policy computing (online
learning)?
** TOPICS
- multiplayer games and smart AI in games
- game theory involving incomplete information about player types
- multiagent systems
- multiagent reinforcement learning
- multiagent planning under partial observability (Markovian models such as
(partially observable) Markov decision processes (PO)MDP and their extensions,
multiagent (PO)MDP, HMMs, interactive POMDPs, interactive dynamic influence
diagrams, decentralized (PO)MDP)
- other probabilistic models
- robotics
- dynamical systems
- graphical models and networks
- knowledge representation involving interactions
** PAPER SUBMISSION
Workshop submissions and camera ready versions will be handled by EasyChair.
The link for submission is:
https://easychair.org/conferences/?conf=agentmix-16. Papers should be formatted
according to the IJCAI Formatting Instructions and up to 6 pages in length + 1
page for references in PDF format. Submissions need not be anonymous.
AgentMix is a non-archival venue and there will be no published proceedings.
However, informal proceedings will be provided at the workshop and the papers
will be posted on this site. Therefore, it will be possible to submit to other
conferences and journals both in parallel and subsequent to the workshop.
** COMMITTEES
- Organising committee:
Enrique Munoz de Cote (INAOE, MX)
Long Tran-Thanh (U. of Southampton, UK)
Christopher Amato (U. of New Hampshire, USA)
Prashant Doshi (U. of Georgia, USA)
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