Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Marc Harper"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0304641 (2024)
Establishing and maintaining mutual cooperation in agent-to-agent interactions can be viewed as a question of direct reciprocity and readily applied to the Iterated Prisoner's Dilemma. Agents cooperate, at a small cost to themselves, in the hope of o
Externí odkaz:
https://doaj.org/article/2638e7947c284da6be72ad2daf399aa5
Autor:
Marc Harper, Joshua Safyan
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 2, p 025023 (2024)
We combine momentum from machine learning with evolutionary dynamics, where momentum can be viewed as a simple mechanism of intergenerational memory similar to epigenetic mechanisms. Using information divergences as Lyapunov functions, we show that m
Externí odkaz:
https://doaj.org/article/ddea45c83f974bc594fdda43b777732b
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0204981 (2018)
We present insights and empirical results from an extensive numerical study of the evolutionary dynamics of the iterated prisoner's dilemma. Fixation probabilities for Moran processes are obtained for all pairs of 164 different strategies including c
Externí odkaz:
https://doaj.org/article/dc3d702817c2498da1f65ff65e7bc32a
Autor:
Marc Harper, Vincent Knight, Martin Jones, Georgios Koutsovoulos, Nikoleta E Glynatsi, Owen Campbell
Publikováno v:
PLoS ONE, Vol 12, Iss 12, p e0188046 (2017)
We present tournament results and several powerful strategies for the Iterated Prisoner's Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms). These strategies are trained to perform well against a cor
Externí odkaz:
https://doaj.org/article/5ead0c0800d84190a55c9b3e56ae8fb7
Autor:
Vincent Knight, Owen Campbell, Marc Harper, Karol Langner, James Campbell, Thomas Campbell, Alex Carney, Martin Chorley, Cameron Davidson-Pilon, Kristian Glass, Nikoleta Glynatsi, Tomáš Ehrlich, Martin Jones, Georgios Koutsovoulos, Holly Tibble, Jochen Müller, Geraint Palmer, Piotr Petunov, Paul Slavin, Timothy Standen, Luis Visintini, Karl Molden
Publikováno v:
Journal of Open Research Software, Vol 4, Iss 1, Pp e35-e35 (2016)
The Axelrod library is an open source Python package that allows for reproducible game theoretic research into the Iterated Prisoner’s Dilemma. This area of research began in the 1980s but suffers from a lack of documentation and test code. The goa
Externí odkaz:
https://doaj.org/article/b1e80e9581be44399e823853da96297d
Autor:
Marc Harper, Dashiell Fryer
Publikováno v:
Entropy, Vol 20, Iss 9, p 631 (2018)
We propose the entropy of random Markov trajectories originating and terminating at the same state as a measure of the stability of a state of a Markov process. These entropies can be computed in terms of the entropy rates and stationary distribution
Externí odkaz:
https://doaj.org/article/21d539922c7d46d98fe8850c95872cd0
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0120625 (2015)
We show that the history of play in a population game contains exploitable information that can be successfully used by sophisticated strategies to defeat memory-one opponents, including zero determinant strategies. The history allows a player to lab
Externí odkaz:
https://doaj.org/article/7bc3c5fd300e4b339bf2db2dc1d6825a
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e88072 (2014)
Discovering all the genetic causes of a phenotype is an important goal in functional genomics. We combine an experimental design for detecting independent genetic causes of a phenotype with a high-throughput sequencing analysis that maximizes sensiti
Externí odkaz:
https://doaj.org/article/f22759206ca84326a08fa92f25130c7c
Autor:
Marc Harper, Dashiell Fryer
Publikováno v:
Entropy, Vol 18, Iss 9, p 316 (2016)
We demonstrate a vast expansion of the theory of evolutionary stability to finite populations with mutation, connecting the theory of the stationary distribution of the Moran process with the Lyapunov theory of evolutionary stability. We define the n
Externí odkaz:
https://doaj.org/article/9a953b28768b42b5ab4cdf8783f5c283
Publikováno v:
KDD
We study user sentiment (reported via optional surveys) as a metric for fully randomized A/B tests. Both user-level covariates and treatment assignment can impact response propensity. We show that a simple mean comparison produces biased population l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65f7da969a3a96a2c58b175b5d11eab5
