Publications related to Rationality

Breaking Blockchain Rationality with Out-of-Band Collusion

Bryan Alexander Ford, Verónica del Carmen Estrada Galiñanes, Louis-Henri Manuel Jakob Merino, Haoqian Zhang, Mahsa Bastankhah

Blockchain systems often rely on rationality assumptions for their security, expecting that nodes are motivated to maximize their profits. These systems thus design their protocols to incentivize nodes to execute the honest protocol but fail to consider ou ...

Springer International Publishing Ag2024

Ultra long turbulent eddies, magnetic topology, and the triggering of internal transport barriers in tokamaks

Stephan Brunner, Justin Richard Ball, Arnas Volcokas

Local nonlinear gyrokinetic simulations of tokamak plasmas demonstrate that turbulent eddies can extend along magnetic field lines for hundreds of poloidal turns when the magnetic shear is very small. By accurately modeling different field line topologies ...

IOP Publishing Ltd2023

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives

Boi Faltings, Naman Goel, Aris Filos Ratsikas

We derive conditions under which a peer-consistency mechanism can be used to elicit truthful data from non-trusted rational agents when an aggregate statistic of the collected data affects the amount of their incentives to lie. Furthermore, we discuss the ...

2022

Scalable Multi-agent Coordination and Resource Sharing

Panayiotis Danassis

A plethora of real world problems consist of a number of agents that interact, learn, cooperate, coordinate, and compete with others in ever more complex environments. Examples include autonomous vehicles, robotic agents, intelligent infrastructure, IoT de ...

EPFL2022

A mechanical approach for the maximum punching resistance of shear-reinforced slab-column connections

Aurelio Muttoni, Miguel Fernández Ruiz, João Tiago Ramos Bernardo de Santa Rita Simões, Diego Hernández Fraile

The use of punching shear reinforcement is currently considered as one of the most convenient practices to enhance the punching shear strength and deformation capacity of slab-column connections in flat slabs. Intensive research has been performed in the l ...

Fédération Internationale du Béton (fib)2021

Rational Agreement in the Presence of Crash Faults

Vincent Gramoli, Alejandro Ranchal Pedrosa

Blockchain systems need to solve consensus despite the presence of rational users and failures. The notion of (k, t)-robustness is key to derive impossibility results with k rational players and t faulty players. However, these t faulty players are always ...

IEEE2021

Social Learning With Partial Information Sharing

Ali H. Sayed, Virginia Bordignon

This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and interact locally to decide whether the observations they are receiving have ri ...

IEEE2020

The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony

Daniel Harasim

Musical grammar describes a set of principles that are used to understand and interpret the structure of a piece according to a musical style. The main topic of this study is grammar induction for harmony --- the process of learning structural principles f ...

EPFL2020

Wasserstein Distributionally Robust Learning

Soroosh Shafieezadeh Abadeh

Many decision problems in science, engineering, and economics are affected by uncertainty, which is typically modeled by a random variable governed by an unknown probability distribution. For many practical applications, the probability distribution is onl ...

EPFL2020

Moving on: Is Existenzminimum Still Relevant?

Bruno Marchand

In the inter-war period, progressive architects confronted the building of mass housing with an analogy with rational and functional workplaces. At the 2nd CIAM (Congres Internationaux d'Architecture Moderne), held in Frankfurt in 1929, this was tested aga ...

2019

Presymplectic convexity and (ir)rational polytopes

Tudor Ratiu

In this paper, we extend the Atiyah-Guillemin-Sternberg convexity theorem and Delzant's classification of symplectic toric manifolds to presymplectic manifolds. We also define and study the Morita equivalence of presymplectic toric manifolds and of their c ...

2019

Rh-I, Ir-III ,and Co-III Complexes with Atropchiral Biaryl Cyclopentadienyl Ligands: Syntheses, Structures, and Catalytic Activities

Nicolai Cramer, Coralie Danielle Annick Duchemin, Gints Smits

Chiral cyclopentadienyl (Cp-x) group 9 metal complexes have become versatile catalysts for a variety of efficient enantioselective C-H functionalizations. Atropchiral binaphthyl-derived Cp-x ligands having tuning options at the 3,3'-positions present a rob ...

2019

HackRF plus GNU Radio: A software-defined radio to teach communication theory

Marina Zapater Sancho, José Luis Ayala Rodrigo, Roman Hermida Correa

In this paper, an alternative to the traditional methodology related to signal processing-like subjects is proposed. These are subjects that require a deep mathematical and theoretical basis, but the practical goal is not often emphasized, which drives stu ...

SAGE PUBLICATIONS LTD2019

Towards Institutions for Mixed Human-Robot Societies

Alcherio Martinoli, Stevan Tomic, Alicja Barbara Roelofsen

We report an exploration into normative reasoning for robots in human societies using the concept of institutions. ...

ASSOC COMPUTING MACHINERY2018

Data-Driven Inverse Optimization with Incomplete Information

Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Peyman Mohajerin Esfahani, Grani Adiwena Hanasusanto

In data-driven inverse optimization an observer aims to learn the preferences of an agent who solves a parametric optimization problem depending on an exogenous signal. Thus, the observer seeks the agent's objective function that best explains a historical ...

2018

Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge

Boi Faltings, Goran Radanovic

We study minimal single-task peer prediction mechanisms that have limited knowledge about agents' beliefs. Without knowing what agents' beliefs are or eliciting additional information, it is not possible to design a truthful mechanism in a Bayesian-Nash se ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2018

An Automatic, Data-Driven Definition of Atomic-Scale Structural Motifs

Piero Gasparotto

Structure-property relationships at the atomic scale are usually understood in terms of recurrent structural motifs formed by atoms and molecules, and how they transform and interact with each other. We introduce with this thesis a novel analysis approach, ...

EPFL2018

Asset Pricing When 'This Time Is Different'

Pierre Collin Dufresne

Recent evidence suggests that younger people update beliefs in response to aggregate shocks more than older people. We embed this generational learning bias in an equilibrium model in which agents have recursive preferences and are uncertain about exogenou ...

Oxford Univ Press Inc2017

Entrepreneurial Behavior: A Reconceptualization and Extension Based on Identity Theory

Marc Gruber

Research summaryEntrepreneurial behavior is core to our understanding of entrepreneurship. Yet, research progress is hindered because most studies adopt a traditional perspective of the construct that is embedded in economic rationality and focused on for- ...

Wiley2017

Microstructure informed tractography: pitfalls and open challenges

Jean-Philippe Thiran, Alessandro Daducci, Maxime Descoteaux

One of the major limitations of diffusion MRI tractography is that the fiber tracts recovered by existing algorithms are not truly quantitative. Local techniques for estimating more quantitative features of the tissue microstructure exist, but their combin ...

Frontiers Research Foundation2016