History[ edit ] Nisan-Ronen: a new framework for studying algorithms[ edit ] In , the seminal paper of Nisan and Ronen  drew the attention of the Theoretical Computer Science community to designing algorithms for selfish strategic users. As they claim in the abstract: We consider algorithmic problems in a distributed setting where the participants cannot be assumed to follow the algorithm but rather their own self-interest. Following notions from the field of mechanism design, we suggest a framework for studying such algorithms. In this model the algorithmic solution is adorned with payments to the participants and is termed a mechanism.
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Based on the successful workshop last year, we aim to bring together again researchers and practitioners from diverse subareas of EC, who are interested in the intersection of human economic behavior and computation, to share new results and to discuss future directions for behavioral research related to economics and computation. It will be a full-day workshop, and will feature invited speakers, contributed paper presentations and a panel discussion.
The gap between rationality-based analysis that assumes utility-maximizing agents and actual human behavior in the real world has been well recognized in economics, psychology and other social sciences.
In recent years, there has been growing interest in conducting behavioral research across many of the sub-areas related to economics and computation to address this gap.
In one direction, some of these studies leverage insights on human decision making from the behavioral economics and psychology literature to study economic and computational systems with human users.
In the other direction, computational tools are used to study and gain insights on human behavior and a data-driven approach is used to learn behavior models from user-generated data. The 2nd Behavioral EC workshop aims to provide a venue for researchers and practitioners from diverse fields, including but not limited to computer science, economics, psychology and sociology, to exchange ideas related to behavioral research in economics and computation.
In addition to sharing new results, we hope the workshop will foster a lively discussion of future directions and methodologies for behavioral research related to economics and computation as well as fruitful cross-pollination of behavioral economics, cognitive psychology and computer science. We welcome studies at the intersection of economic behavior and computation from a rich set of theoretical, experimental and empirical perspectives. The topics of interest for the workshop are behavioral research in all settings covered by EC, including but not limited to: Behavioral mechanism design and applied mechanism design Boundedly-rational models of economic decision making Empirical studies of human economic behavior Model evaluation and selection based on behavioral data Data-driven modelling Online prediction markets, online experiments, and crowdsourcing platforms Hybrid human-machine systems Models and experiments about social considerations e.
Notification: June 11, All submissions will be peer reviewed. We will give priority to new unpublished research papers but will also consider ongoing research and recently published papers that may be of interest to the workshop audience.
For submissions of published papers, authors must clearly state the venue of publication. Position papers and panel discussion proposals are also welcome. Papers will be reviewed for relevance, significance, originality, research contribution, and likelihood to catalyze discussion. Submissions can be in any format and any length. We recommend the EC submission format. The workshop will not have archival proceedings but will post accepted papers on the workshop website.
At least one author of each accepted paper will be expected to attend and present their findings at the workshop. Organizing Committee.
Algorithmic game theory
Algorithmic Game Theory