Results 31 to 40 of about 14,653 (306)

Voting, the Symmetric Group, and Representation Theory [PDF]

open access: yesThe American Mathematical Monthly, 2009
We show how voting may be viewed naturally from an algebraic perspective by viewing voting profiles as elements of certain well-studied $\mathbb{Q}S_n$-modules. By using only a handful of simple combinatorial objects (e.g., tabloids) and some basic ideas from representation theory (e.g., Schur's Lemma), this allows us to recast and extend some well ...
Zajj Daugherty   +3 more
openaire   +3 more sources

Altruism, Noise, and the Paradox of Voter Turnout: An Experimental Study

open access: yesJournal of Applied Mathematics, 2015
This paper addresses the paradox of voter turnout, wherein observed voting participation rates are far greater than what rational choice theory would predict. Voters face multiple voting choices, stochastic voting costs, and candidates offering different
Sarah A. Tulman
doaj   +1 more source

Lecture Notes on Voting Theory

open access: yesCoRR, 2021
These lecture notes have been developed for the course Computational Social Choice of the Artificial Intelligence MSc programme at the University of Groningen. They cover mathematical and algorithmic aspects of voting theory.
openaire   +2 more sources

EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game [PDF]

open access: yesJisuanji kexue yu tansuo
Aiming at the problems of low enthusiasm among voting nodes, bribery from malicious nodes, and the vulnerability of sequential block generation by agent nodes in the delegated proof of stake (DPoS) consensus process, an optimized DPoS consensus algorithm
LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li
doaj   +1 more source

The Centrality of Voting in Democracy: The Plebiscitarian Origins of the Idea

open access: yesPolitics and Governance
Democracy is often equated with voting, an assumption shared by many defenders, reformers, and critics of liberal democracy. This article explores the origins of the idea of the centrality of voting in democracy, arguing that current thinking about ...
Greg Yudin
doaj   +1 more source

A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory

open access: yesNantong Daxue xuebao. Ziran kexue ban, 2021
In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed.
JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing
doaj   +1 more source

ON SOME PARADOXES IN VOTING THEORY

open access: yes, 2021
We present some paradoxes concerning voting theory - both ap-portionment methods and elections of a winner. All the examples in the paperwere constructed by the author. Mathematical background of some votingmethods is explained. Also, the fundamental results on voting theory concern-ing the nonexistence of fair methods with some historical remarks are ...
openaire   +2 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

An enhanced DPoS consensus mechanism using quadratic voting in Web 3.0 ecosystem [PDF]

open access: yesBlockchain
Consensus mechanisms are fundamental to maintaining consistency in distributed systems. With the advent of Web 3.0, blockchain has revealed limitations of traditional Delegated Proof of Stake (DPoS) consensus mechanisms.
Tianyu Lei   +8 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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