archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Mechanism design theme invited talk] Sequential Choice and Self-Reinforcing Rankings

Dates
2025-03-05 14:50 - 16:00
Venue
Artemidos 1 - Amphitheater
TITLE: Sequential Choice and Self-Reinforcing Rankings

ABSTRACT: People’s behavior is informed and influenced by other people’s choices. In many online technologies, for instance, aggregate information about the choices of other individuals is encoded in the form of rankings. Such rankings, in turn, have a direct impact on people’s future choices. What are the long-term dynamics of these rankings, and do the dynamics depend on specific assumptions about people’s behavior? In this paper, we propose a general framework for modeling the dynamics in settings where information about peoples’ past choices is recorded as a ranking and influences future choices. We find a general condition for convergence, show that it is satisfied by many important models in economics and beyond, and characterize the possible limits in terms of the choice probabilities.

REFERENCE: https://www.researchgate.net/publication/358462939_Sequential_choice_and_self-reinforcing_rankings

SHORT BIO: Pantelis Pipergias Analytis (https://www.sdu.dk/en/forskning/forskningsenheder/samf/sod/simple-employee-list-sod/group-members/pantelis-analytis ) is an Associate Professor at the Department of Business and Management and senior fellow at the Danish Institute of Advanced Study. In his research, Pantelis develops mathematical and computational models of individual and collective behavior and uses experiments, big-data and large-scale simulations to assess their descriptive and prescriptive value. Pantelis has studied economics at the University of Athens, cognitive science at EHESS in Paris and received his PhD in psychology from Humboldt University in Berlin. Before joining the University of Southern Denmark, he worked as a predoctoral researcher at the Max Planck Institute for Human Development in Berlin and as a postdoctoral researcher at the Computer and Information Science departments at Cornell University in Ithaca. 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

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The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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