[agents] Games, Agents and Incentives Workshops (GAIW) @ AAMAS - EXTENDED DEADLINE

[Sofia Ceppi]

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.
Over the past two decades, the focus of agent incentives in decentralized
and centralized 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: “economic
paradigms”; “mathematical social sciences”; “auctions and markets”;
“non-cooperative games”; “cooperative games”; “social choice” and others.
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.

IMPORTANT DATES

PLEASE NOTE THAT THE PAPER SUBMISSION DEADLINE HAS BEEN EXTENDED BUT AN
EARLIER ABSTRACT SUBMISSION IS REQUIRED.

Submission: March 1st, 2019.
Acceptance notification: March 23rd, 2019.
AAMAS workshop days: May 13-14th, 2019.

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

For more information and submission instructions see:
http://www.agent-games-2019.preflib.org/
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