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.
MODeM is officially endorsed by the International Society on Multiple Criteria Decision Making (MCDM): http://www.mcdmsociety.org/content/events-endorsed-mcdm-society
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:
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.
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 AAMAS 2017 workshops, where one paper will be selected from each AAMAS 2017 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 AAMAS 2017 workshops, where one paper will be selected from each AAMAS 2017 workshop.
Authors of the selected most visionary paper and the best paper are expected to provide their LaTeX files promptly upon request.
Please see http://www.aamas2017.org/workshops_aamas2017.php for more details.
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The panel discussion will conclude the workshop with reflections and perspectives on the state of multi-objective decision making overall.
The panel members include: TBD
The tentative schedule is as follows:
Program Organizers:
Senior Advisory Committee:
Program Committee:
Please direct questions regarding the workshop to "modem.aamas 'at' gmail.com".