References for Algorithmic Game Theory

Computational Social Choice (CSC) may be defined as:

an interdisciplinary field of study at the interface of social choice theory and computer science, promoting an exchange of ideas in both directions.

The field intersects computer science, economics, and operations research and focuses on algorithmic aspects of group decision making and resource allocation. This page summarizes relevant resources for researchers in CSC and its umbrella discipline of Algorithmic Game Theory.

About Computational Social Choice

Textbooks

Springer book series – Synthesis Lectures on Artificial Intelligence and Machine Learning:

More COMSOC

Applications of AGT: Simulations and Online Programs

Data and Github Repositories

Important Computer Science Conferences

Conference Name Rating* Link Approx. Deadline Conference Dates
AAAI Conference on Artificial Intelligence A* 2023 link August February
International Joint Conference on Artificial Intelligence (IJCAI) A* 2023 link January August
Conference on Neural Information Processing Systems (NeurIPS) A* 2023 link May December
Conference on Uncertainty in Artificial Intelligence (UAI) A 2023 link February July-Aug
International Symposium on Algorithmic Game Theory (SAGT) B 2023 link May September
European Conference on Artificial Intelligence (ECAI) A 2023 link April Sept-Oct
ACM Conference on Economics and Computation (EC) A* 2023 link January July
Conference On Web And Internet Economics (WINE)   2023 link July December
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) A* 2023 link October May-June$^{+1}$
International Workshop on Computational Social Choice (COMSOC)   2023 link March July
The Web Conference (WWW) A* 2023 link October May$^{+1}$

*Ratings per Computing Research and Education Association of Australasia, CORE Inc.

Open Repositories of Ongoing Research

Written on July 10, 2023