Lévy-like behavior in deterministic models of intelligent agents exploring heterogeneous environments

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, 7 figures. One section added

Scientific paper

Many studies on animal and human movement patterns report the existence of scaling laws and power-law distributions. Whereas a number of random walk models have been proposed to explain observations, in many situations individuals actually rely on mental maps to explore strongly heterogeneous environments. In this work we study a model of a deterministic walker, visiting sites randomly distributed on the plane and with varying weight or attractiveness. At each step, the walker minimizes a function that depends on the distance to the next unvisited target (cost) and on the weight of that target (gain). If the target weight distribution is a power-law, $p(k)\sim k^{-\beta}$, in some range of the exponent $\beta$, the foraging medium induces movements that are similar to L\'evy flights and are characterized by non-trivial exponents. We explore variations of the choice rule in order to test the robustness of the model and argue that the addition of noise has a limited impact on the dynamics in strongly disordered media.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Lévy-like behavior in deterministic models of intelligent agents exploring heterogeneous environments does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Lévy-like behavior in deterministic models of intelligent agents exploring heterogeneous environments, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Lévy-like behavior in deterministic models of intelligent agents exploring heterogeneous environments will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-372327

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.