Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Knight, Vincent A."'
Autor:
Knight, Vincent1 (AUTHOR) knightva@cardiff.ac.uk, Harper, Marc2 (AUTHOR), Glynatsi, Nikoleta E.3 (AUTHOR), Gillard, Jonathan1 (AUTHOR)
Publikováno v:
PLoS ONE. 7/26/2024, Vol. 19 Issue 7, p1-17. 17p.
This work uses a data-driven approach to analyse how the resource requirements of patients with chronic obstructive pulmonary disease (COPD) may change, quantifying how those changes impact the hospital system with which the patients interact. This a
Externí odkaz:
http://arxiv.org/abs/2008.04295
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the common initialisations from literature do not. The method, which utilises t
Externí odkaz:
http://arxiv.org/abs/2002.02701
Researchers have explored the performance of Iterated Prisoner's Dilemma strategies for decades, from the celebrated performance of Tit for Tat to the introduction of the zero-determinant strategies and the use of sophisticated learning structures su
Externí odkaz:
http://arxiv.org/abs/2001.05911
We develop an efficient algorithm to determine the memory-depth of finite state machines and apply the algorithm to a collection of iterated prisoner's dilemma strategies. The calculation agrees with the memory-depth of other representations of commo
Externí odkaz:
http://arxiv.org/abs/1912.04493
Memory-one strategies are a set of Iterated Prisoner's Dilemma strategies that have been praised for their mathematical tractability and performance against single opponents. This manuscript investigates best response memory-one strategies with a the
Externí odkaz:
http://arxiv.org/abs/1911.12112
This manuscript explores the research topics and collaborative behaviour of authors in the field of the Prisoner's Dilemma using topic modeling and a graph theoretic analysis of the co-authorship network. The analysis identified five research topics
Externí odkaz:
http://arxiv.org/abs/1911.06128
In this paper we propose a novel method for learning how algorithms perform. Classically, algorithms are compared on a finite number of existing (or newly simulated) benchmark datasets based on some fixed metrics. The algorithm(s) with the smallest v
Externí odkaz:
http://arxiv.org/abs/1907.13508
Since the introduction of zero-determinant strategies, extortionate strategies have received considerable interest. While an interesting class of strategies, the definitions of extortionate strategies are algebraically rigid, apply only to memory-one
Externí odkaz:
http://arxiv.org/abs/1904.00973
Rhino populations are at a critical level due to the demand for rhino horn and the subsequent poaching. Wildlife managers attempt to secure rhinos with approaches to devalue the horn, the most common of which is dehorning. Game theory has been used t
Externí odkaz:
http://arxiv.org/abs/1712.07640