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Games, Agents and Incentives workshop
To be held at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
Montréal, Canada, May 13-17th, 2019
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Games, Agents and Incentives is a confederated workshop which focuses (obviously…) on agents and incentives in AI. In particular on game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems. The confederated workshop merges multiple workshops that have been associated with AAMAS in the past, which considered different aspects of the general interplay between AI and economics:
- CoopMAS: Cooperative Games in Multi-agent Systems
- AMEC: Agent-Mediated Electronic Commerce
- EXPLORE: Exploring Beyond the Worst Case in Computational Social Choice

The workshop will be coordinated with the Fair Allocation in Multiagent Systems workshop, and papers might be exchanged between the two workshops.

Workshop website: http://www.agent-games-2019.preflib.org

Over the past two decades, the focus of agent incentives in decentralised and centralised AI systems has increased dramatically. These issues come up when designing preference aggregation mechanisms and markets; computing equilibria and bidding strategies; facilitating cooperation among agents; and fairly dividing resources.

The focus on incentives in AI at AAMAS can be judged from the significant proportion of technical program sessions which deal with them. The goal of the workshop is to provide a forum to present the latest research, including more preliminary research that can benefit from further discussion and feedback.

Papers will be invited under the following topics:

- Algorithmic mechanism design
- Empirical studies of games and agents
- Behavioral Game Theory
- Bounded rationality
- Cooperative Games
- Computational social choice
- Empirical approaches to social choice
- Auctions
- Computational advertising
- Computational aspects of equilibria
- Coalitions, coordination, collective action, and cooperation
- Economic aspects of security and privacy
- Economic aspects of distributed and network computing
- Equilibrium computation
- Empirical approaches to electronic markets
- Fair Division
- Incentives in machine learning
- Information and attention economics
- Learning in games (e.g., solution concepts and equilibria)
- Matching and Matching Markets
- Negotiation
- Price differentiation and price dynamics
- Social networks
- Trading agent design and analysis
- Uncertainty in AI and economic

Organizing committee: Sofia Ceppi, Omer Lev and Nicholas Mattei.

Submission website: https://easychair.org/conferences/?conf=gaiw2019

Important Dates:
- Submission deadline: February 26th, 2019
- Acceptance notification: March 23rd, 2019
- Workshop: May 13 or 14, 2019