activity
20142023
most citedAutomatic Generation of Bounds for Polynomial Systems with Application to the Lorenz System

14 citations · 32 across the 15 of their papers we have counts for

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Showing q-bio.PEShow all

9 papers · 1 filter

q-bio.PE2022

Spectral dynamics of guided edge removals and identifying transient amplifiers for death-Birth updating

Hendrik Richter

The paper deals with two interrelated topics, identifying transient amplifiers in an iterative process and analyzing the process by its spectral dynamics, which is the change in th…

q-bio.PE2020

Constructing transient amplifiers for death-Birth updating: A case study of cubic and quartic regular graphs

Hendrik Richter

A central question of evolutionary dynamics on graphs is whether or not a mutation introduced in a population of residents survives and eventually even spreads to the whole populat…

q-bio.PE2019

Evolution of Cooperation for Multiple Mutant Configurations on All Regular Graphs with players

Hendrik Richter

We study the emergence of cooperation in structured populations with any arrangement of cooperators and defectors on the evolutionary graph. Using structure coefficients defined fo…

q-bio.PE2019

Relationships between dilemma strength and fixation properties in coevolutionary games

Hendrik Richter

Whether or not cooperation is favored over defection in evolutionary games can be assigned by structure coefficients for any arrangement of cooperators and defectors on any network…

q-bio.PE2018★ 5 cited

Fixation properties of multiple cooperator configurations on regular graphs

Hendrik Richter

Whether or not cooperation is favored in evolutionary games on graphs depends on the population structure and spatial properties of the interaction network. Population structures c…

q-bio.PE2018

Properties of interaction networks, structure coefficients, and benefit-to-cost ratios

Hendrik Richter

In structured populations the spatial arrangement of cooperators and defectors on the interaction graph together with the structure of the graph itself determines the game dynamics…

q-bio.PE2018

Information content of coevolutionary game landscapes

Hendrik Richter

Coevolutionary game dynamics is the result of players that may change their strategies and their network of interaction. For such games, and based on interpreting strategies as con…

q-bio.PE2016

Dynamic landscape models of coevolutionary games

Hendrik Richter

Players of coevolutionary games may update not only their strategies but also their networks of interaction. Based on interpreting the payoff of players as fitness, dynamic landsca…

q-bio.PE2016

Analyzing coevolutionary games with dynamic fitness landscapes

Hendrik Richter

Coevolutionary games cast players that may change their strategies as well as their networks of interaction. In this paper a framework is introduced for describing coevolutionary g…