[agents] CfP: deadline extended: AAMAS 2017 Workshop on Multi-Objective Decision Making (MODeM 2017)

[Diederik Roijers]

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Deadline Extension: now February 17, 2017

AAMAS 2017 Workshop on Multi-Objective Decision Making (MODeM 2017)

http://rbr.cs.umass.edu/modem/

São Paulo, Brasil, 8 or 9 May 2017

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*About the workshop *

In the modern world, many problems have more than one objective. For
example, imagine an office in which the meeting scheduling controlled by an
autonomous system needs to maximise the comfort levels of the building's
occupants while minimising the energy consumption, or an agent that advises
a medical treatment plan for schizophrenia that aims to minimise the
severity of the symptoms, while minimising weight gain and maximising
quality of life. When a priori scalarisation of such a multi-objective
problem is not possible, explicitly multi-objective methods are necessary
to enable (multi-)agent systems for these environments.

The Multi-Objective Decision Making (MODeM) workshop aims to bring together
people from across the agents community and beyond. Inside of the agents
community (and the operations research, control theory and robotics
communities), researchers have recently been working on multi-objective:
decision-theoretic planning, reinforcement learning, multi-agent
coordination, constraint optimisation problems, path planning and game
theory. In adjacent communities, multi-objective evolutionary algorithms
and multi-objective (heuristic) optimisation, and multi-criteria
decision-making and multi-attribute utility theory, are large and
long-established (sub)fields. Another highly related problem is that of
preference elicitation with respect to different objectives, which is
studied in the field of computational social choice. The goal of this
workshop is to bring together ideas from all these (sub)fields and
communities, leading to cross-pollination, and hopefully interesting new
collaborations.

*Scope and submission *

We invite novel papers on multi-objective decision making, synergies
between multi-objective decision making and other topics, and applications
of multi-objective decision making. Topics of interest include, but are not
limited to, the following:

    Multi-objective planning and scheduling

    Multi-objective multi-agent coordination

    Multi-objective constraint optimisation and graphical models

    Multi-objective reinforcement learning

    Multiple objectives in game theory and mechanism design

    Multi-objective evolutionary methods for autonomous agents and
multi-agent systems

    Applications of multi-objective decision making

    Multi-objectification in autonomous agents and multi-agent systems

    Preference elicitation and computational social choice for
multi-objective decision making


Submissions should follow standard AAMAS 2017 full-paper submission
guidelines (maximum 8 pages of content plus any number of additional pages
for only references). The authors should submit novel work that matches one
or more of the topics relevant to the workshop.

Authors are requested to prepare papers using the AAMAS 2017 style (please
do not modify): http://www.aamas2017.org/submission-instructions_
aamas2017.php

Submit papers to MODeM via EasyChair: https://easychair.org/
conferences/?conf=modem2017.

*Proceedings *

The most “visionary paper” will be published by Springer in a book under
the Lecture Notes in Artificial Intelligence (LNAI) Hot Topics series. The
book will be a compilation of the most visionary papers of the AAMAS2017
Workshops, where one paper will be selected from each AAMAS2017 workshop.
Additionally, the “best paper” will be published by Springer in a book
under the Communications in Computer and Information Science (CCIS) series.
The book will be a compilation of the best papers of the AAMAS2017
Workshops, where one paper will be selected from each AAMAS2017 workshop.
Authors of the selected most visionary paper and the best paper are
expected to provide their latex files promptly upon request.