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Dive into the research topics where Robbert Fokkink is active.

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Featured researches published by Robbert Fokkink.


Journal of the Royal Society Interface | 2011

Ambush frequency should increase over time during optimal predator search for prey

Steven Alpern; Robbert Fokkink; Marco Timmer; Jérôme Casas

We advance and apply the mathematical theory of search games to model the problem faced by a predator searching for prey. Two search modes are available: ambush and cruising search. Some species can adopt either mode, with their choice at a given time traditionally explained in terms of varying habitat and physiological conditions. We present an additional explanation of the observed predator alternation between these search modes, which is based on the dynamical nature of the search game they are playing: the possibility of ambush decreases the propensity of the prey to frequently change locations and thereby renders it more susceptible to the systematic cruising search portion of the strategy. This heuristic explanation is supported by showing that in a new idealized search game where the predator is allowed to ambush or search at any time, and the prey can change locations at intermittent times, optimal predator play requires an alternation (or mixture) over time of ambush and cruise search. Thus, our game is an extension of the well-studied ‘Princess and Monster’ search game. Search games are zero sum games, where the pay-off is the capture time and neither the Searcher nor the Hider knows the location of the other. We are able to determine the optimal mixture of the search modes when the predator uses a mixture which is constant over time, and also to determine how the mode mixture changes over time when dynamic strategies are allowed (the ambush probability increases over time). In particular, we establish the ‘square root law of search predation’: the optimal proportion of active search equals the square root of the fraction of the region that has not yet been explored.


Topology and its Applications | 2000

Chaotic homeomorphisms are generic

Fons G.M. Daalderop; Robbert Fokkink

Abstract The set of all chaotic measure-preserving homeomorphisms on a compact n -dimensional manifold ( n≥2 ) is a residual set in the space of all measure-preserving homeomorphisms.


Topology | 1996

Variations on a theorem of lusternik and schnirelmann

Jan M. Aarts; Robbert Fokkink; Hans Vermeer

Abstract A fixed-point free map f: X → X is said to be colorable with k colors if there exists a closed cover β of X consisting of k elements such that C∩f(C) = φ for every C in β. It is shown that each fixed-point free involution of a paracompact Hausdorff space X with dim X ≤ n can be colored with n + 2 colors. Each fixed-point free homeomorphism of a metrizable space X with dim X ≤ n is colorable with n + 3 colors. Every fixed-point free continuous selfmap of a compact metrizable space X with dim X ≤ n can be colored with n + 3 colors


Siam Journal on Control and Optimization | 2008

The “Princess and Monster” Game on an Interval

Steven Alpern; Robbert Fokkink; Roy H. A. Lindelauf; Geert Jan Olsder

A minimizing searcher


Siam Journal on Control and Optimization | 2010

On Ruckle's Conjecture on Accumulation Games

Steven Alpern; Robbert Fokkink; Ken Kikuta

S


Siam Journal on Control and Optimization | 2013

On Search Games That Include Ambush

Steve Alpern; Robbert Fokkink; Shmuel Gal; Marco Timmer

and a maximizing hider


Journal of the Royal Society Interface | 2012

A search game model of the scatter hoarder's problem

Steven Alpern; Robbert Fokkink; Thomas Lidbetter; Nicola S. Clayton

H


Algebraic & Geometric Topology | 2002

Bihomogeneity of solenoids

Alex Clark; Robbert Fokkink

move at unit speed on a closed interval until the first (capture, or payoff) time


international conference on game theory for networks | 2009

How to hide information for later use on networks

Steve Alpern; Robbert Fokkink

T=\min \{ t:S(t)=H(t)\}


Proceedings of the American Mathematical Society | 2001

An addition theorem for the color number

Jan M. Aarts; Robbert Fokkink

that they meet. This zero-sum princess and monster game or less colorfully search game with mobile hider was proposed by Rufus Isaacs for general networks

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Alex Clark

University of North Texas

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Steven Alpern

London School of Economics and Political Science

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Jan M. Aarts

Delft University of Technology

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Cor Kraaikamp

Delft University of Technology

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Geert Jan Olsder

Delft University of Technology

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Lex G. Oversteegen

University of Alabama at Birmingham

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Thomas Lidbetter

London School of Economics and Political Science

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Joram Op Den Kelder

Delft University of Technology

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